1151 Probability Jobs - Page 15

About Enqurious Enqurious (formerly Mentorskool) is a fast-growing EdTech company based in Bengaluru that specializes in upskilling industry-ready Data + AI teams. We combine skill-driven precision learning with data-driven skill intelligence to help organizations deploy talent to projects 70% faster. Our mission is to bridge the skills gap in the data + AI space through problem-first, action-oriented, and mentorship-driven learning experiences. Our clientele includes large Enterprise Data and AI consulting firms like Fractal Analytics, Tredence, Tiger Analytics and MathCo. We help our customers achieve upskilling in many different flavors including - Graduate Data Engineer Upskilling, Continuous Learning, Certifications, Hackathons and Project Accelerators. Enqurious is our home-grown Learning Engagement Platform where we put well researched learning experiences integrated with labs to help learners experience real-world problems and challenges leading to upskilling that delivers business outcomes. https://www.enqurious.com/ Position Overview Location: Bengaluru, Karnataka (Hybrid) Experience: 2+ years Employment Type: Full-time Department: AI & ML We are seeking a passionate Data Scientist with 2+ years of experience to join our core team. This role offers a unique opportunity to work on cutting-edge data science projects and contribute to shaping the next generation of data professionals through developing domain first use cases and delivered via mentoring Must-Have Requirements Technical Skills SQL Mastery: Advanced proficiency in SQL with experience in complex query optimization, performance tuning, and working with large datasets and relational data modelling Statistical & ML Foundations: Strong grasp of probability, statistics, hypothesis testing, and ML algorithms (supervised, unsupervised, and time-series). Python Programming: Proficiency with pandas, NumPy, scikit-learn, TensorFlow/PyTorch, and data-validation/automation scripting. Data Visualisation: Ability to craft compelling stories with Matplotlib, Seaborn, Plotly Cloud Fundamentals: Solid understanding of cloud computing principles, Familiarity with ML services on AWS (SageMaker, Athena), or Azure (ML Studio, Databricks). Experience & Mindset - Must have Minimum 2 years of hands-on data science experience with a proven track record of building models and MLOps pipelines Model Development & Deployment: Experience building robust, scalable MLops on cloud platforms, preferably AWS (S3, Sagemaker) or Azure(Adls, Databricks, MLflow, Azure ML Studio) Continuous Learning: Demonstrated ability to quickly adapt to new technologies, frameworks, and methodologies in the rapidly evolving data landscape Teaching/Mentoring Aptitude : Genuine interest and willingness to occasionally conduct corporate training sessions, workshops Ability to work in uncertain and ambiguous environments. We expect you to be a self-starter, and you will be required to demonstrate this skill in the interview Good to Have Startup Mindset: Openness to work closely with core and founding team members in creating RFPs, proposals, and strategic technical documents Client Interaction: Experience interfacing with clients to understand requirements and translate business needs into technical solutions Key Responsibilities Core Engineering (for experience building and creating simulated projects inspired by the real world) Design, build, and maintain reproducible ML pipelines (feature engineering, training, evaluation, and CI/CD deployment). Develop predictive, prescriptive, and generative models that are performant, explainable, and cost-efficient. Implement data-quality checks, bias/variance monitoring, and automated drift detection. Conduct mentoring sessions on data science best practices, tools, and technologies Develop hands-on labs and real-world scenarios for upskilling programs Contribute to Enqurious's knowledge base and learning content library Strategic Contributions Participate in technical discussions with the founding team and contribute to content roadmap decisions Assist in creating technical proposals, RFPs, and solution architectures for enterprise clients for their upskilling needs Stay updated with industry trends and emerging technologies to enhance our training offerings Represent Enqurious at technical conferences, meetups, and community events What We Offer Professional Growth Accelerated Learning Environment: Work alongside industry experts and gain exposure to diverse data science challenges across multiple domains (Retail, CPG, E-Commerce, FinTech, Insurance) Mentoring Opportunities: Develop your communication and leadership skills through corporate training and mentoring Industry Recognition: Opportunity to build your brand in the data science community Certification Support: Access to premium training resources and certification programs (Databricks, AWS, Azure) Work Environment Flexible Work Arrangements: Hybrid working model with collaborative office environment in Bengaluru Innovation Culture: Be part of a team that's disrupting traditional corporate learning methodologies Direct Impact: Your work will directly influence how thousands of data scientists are trained globally Startup Agility: Fast-paced environment with opportunities to wear multiple hats and drive initiatives Compensation & Benefits Competitive salary commensurate with experience and skills Performance-based bonuses and equity opportunities Health insurance and wellness programs Professional development budget for conferences, courses, and certifications Ideal Candidate Profile You're the perfect fit if you: Love building impactful models and sharing knowledge Thrive in ambiguous, fast-paced environments where you can make a significant impact Enjoy collaborating with diverse teams, including educators, business stakeholders, and technical experts We are excited about the intersection of technology and education Have a growth mindset and are energized by continuous learning and teaching Can balance hands-on technical work with strategic thinking and planning Application Process 1-2 Interview rounds. Please note that we are only willing to accept anyone who has a notice period of 30 days or less How to Apply? If you're excited about the opportunity to build cutting-edge data solutions while shaping the future of Data Science + AI education, we'd love to hear from you. Apply with your resume, a brief cover letter explaining your interest in this unique role, and any relevant project portfolios or certifications. Send your updated resume to learn@enqurious.com with the subject line "Application for Data Scientist - ." Enqurious is an equal opportunity employer committed to diversity and inclusion. We encourage applications from all qualified candidates regardless of race, gender, age, religion, sexual orientation, or disability status.

Lead Data Scientist Gurgaon, India; Ahmedabad, India; Hyderabad, India; Virtual, Gurgaon, India Information Technology 317407 Job Description About The Role: Grade Level (for internal use): 11 The Team : As a member of the EDO, Collection Platforms & AI – Cognitive Engineering team you will work on building GenAI-driven and ML-powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global. You will define AI strategy, mentor others, and drive production-ready AI products and pipelines while leading by example in a highly engaging work environment. You will work in a (truly) global team and be encouraged for thoughtful risk-taking and self-initiative. What’s in it for you: Be a part of a global company and build solutions at enterprise scale Lead and grow a highly skilled, hands-on technical team (including mentoring junior data scientists) Contribute to solving high-complexity, high-impact problems end-to-end Architect and oversee production-ready pipelines from ideation to deployment Responsibilities: Define AI roadmap, tooling choices, and best practices for model building, prompt engineering, fine-tuning, and vector retrieval systems Architect, develop and deploy large-scale ML and GenAI-powered products and pipelines Own all stages of the data science project lifecycle, including: Identification and scoping of high-value data science and AI opportunities Partnering with business leaders, domain experts, and end-users to gather requirements and align on success metrics Evaluation, interpretation, and communication of results to executive stakeholders Lead exploratory data analysis, proof-of-concepts, model benchmarking, and validation experiments for both ML and GenAI approaches Establish and enforce coding standards, perform code reviews, and optimize data science workflows Drive deployment, monitoring, and scaling strategies for models in production (including both ML and GenAI services) Mentor and guide junior data scientists; foster a culture of continuous learning and innovation Manage stakeholders across functions to ensure alignment and timely delivery Technical Requirements: Hands-on experience with large language models (e.g., OpenAI, Anthropic, Llama), prompt engineering, fine-tuning/customization, and embedding-based retrieval Expert proficiency in Python (NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF 2, Hugging Face Transformers) Deep understanding of ML & Deep Learning models, including architectures for NLP (e.g., transformers), GNNs, and multimodal systems Strong grasp of statistics, probability, and the mathematics underpinning modern AI Ability to surf and synthesize current AI/ML research, with a track record of applying new methods in production Proven experience on at least one end-to-end GenAI or advanced NLP project: custom NER, table extraction via LLMs, Q&A systems, summarization pipelines, OCR integrations, or GNN solutions Familiarity with orchestration and deployment tools: Airflow, Redis, Flask/Django/FastAPI, SQL, R-Shiny/Dash/Streamlit Openness to evaluate and adopt emerging technologies and programming languages as needed Good to have: Master’s or Ph.D. in Computer Science, Statistics, Mathematics, or related field (minimum Bachelor’s) 6+ years of relevant experience in Data Science/AI, with at least 2 years in a leadership or technical lead role Prior experience in the Economics/Financial industry, especially with market-intelligence or risk analytics products Public contributions or demos on GitHub, Kaggle, StackOverflow, technical blogs, or publications What’s In It For You? Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. - Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf - 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 317407 Posted On: 2025-07-06 Location: Gurgaon, Haryana, India

Position Overview: We are seeking a passionate and dedicated MYP, IGCSE, DP Math Teacher to join our IB World School. The ideal candidate will inspire and challenge students to excel in mathematics while fostering critical thinking, problem-solving, and analytical skills. The teacher will be responsible for delivering the International Baccalaureate curriculum, ensuring a holistic and student-centered learning experience. Key Responsibilities: Curriculum Planning and Delivery: Plan and deliver engaging and differentiated lessons aligned with the IB MYP and DP mathematics curriculum. Develop and implement inquiry-based learning strategies to encourage students’ active participation. Ensure lessons cater to a range of student abilities and learning styles. Assessment and Feedback: Design formative and summative assessments to evaluate student understanding and progress. Provide timely and constructive feedback to students to enhance their learning experience. Prepare students for internal and external assessments, including DP examinations. Student Support and Engagement: Offer individual and group support to help students meet learning objectives. Encourage students to explore real-world applications of mathematical concepts. Foster an inclusive and respectful classroom environment. Collaboration and Professional Development: Work collaboratively with other subject teachers and IB coordinators to integrate interdisciplinary approaches. Participate in professional development sessions to stay updated on IB standards and practices. Contribute to curriculum reviews and updates. Pastoral and Extracurricular Duties: Support students' overall well-being by acting as a mentor or advisor when required. Participate in school activities, events, and initiatives, including math clubs or competitions. Qualifications and Skills: Education: Bachelor’s or Master’s degree in Mathematics or a related field. A teaching qualification (B.Ed., PGCE, or equivalent). Experience: Prior experience teaching IB MYP and/or DP Mathematics is highly desirable. Familiarity with IB philosophy and pedagogy. Skills: Strong subject knowledge in mathematics, including concepts like calculus, algebra, probability, and statistics. Excellent communication and interpersonal skills. Proficiency in integrating technology into teaching practices. Commitment to fostering a love for learning in students. Preferred Attributes: IB-trained or certified educators will be given priority. Ability to adapt to a multicultural and diverse environment. A reflective and collaborative mindset. Job Types: Full-time, Permanent Pay: ₹60,000.00 - ₹125,000.00 per month Benefits: Paid time off Provident Fund Schedule: Morning shift Ability to commute/relocate: Mumbai, Mumbai Suburban - 400089, Maharashtra: Reliably commute or planning to relocate before starting work (Required) Application Deadline: 21/07/2025

Job Title : Engine Decision Analysis Experience : 5-10 Years Location : Mumbai Requisites: Skilled in Excel for complex formulas, economic and cash flow modeling, including tax and depreciation. Proficient in structuring data, applying decision tools, and modeling risk and uncertainty. Familiar with S-curves, Tornado Diagrams, and Investment Efficiency Charts. Able to distill complex analysis into clear insights and present them effectively with PowerPoint. Skilled at identifying problems, analyzing from multiple perspectives, and proposing solutions. Able to facilitate discussions and gather input across technical and business teams to recommend effective outcomes. Strong teamwork skills required, with the ability to collaborate across diverse functions including engineering, science, legal, tax, finance, and commercial teams. Self-motivated with strong planning, problem-solving, and communication skills. Advanced Microsoft Office skills, especially in Excel, PowerPoint, Outlook, and Word, with experience in writing complex Excel formulas. Key Responsibilities: Assist senior Decision Analysis consultants in building accurate economic models to support informed decisions. Provide direct support for new opportunities, including capital projects, as assigned. Apply core principles, processes, and tools of Decision Analysis (DA), Minimum Functional Objectives (MFO), and Chevron Project Management standards. Perform in-depth economic and cash flow modeling, independently develop and update medium-complexity decision models for various fiscal regimes (e.g., PSCs, JVs), following DA best practices and coordinating with tax and legal teams. Support model development by eliciting data, removing bias, and coordinating information flow to capture key uncertainties. Proactively gather, validate, and align data from SMEs and departments through effective communication and coordination. Facilitate framing, MFO, and decision-making sessions, ensuring integration of key factors. Lead or support frame development customized to specific opportunities using appropriate tools. Facilitate complex, cross-functional discussions to clarify challenges and shape actionable outcomes, including clear summaries and communications beyond standard framing. Conduct qualitative, deterministic, and probabilistic analyses-using tools like probability curves, tornado diagrams, and VOI studies-to generate insights. Structure DA evaluations and apply suitable methods to guide informed decisions. Extract and communicate key insights through clear presentations and documentation, ensuring decision-makers understand the analysis, trade-offs, and the value of minimum investment versus incremental enhancements.

Requisition ID: 8331 Bangalore, India Our mission at Enphase Energy is to advance a sustainable future for all. Today, our intelligent microinverters, which turn sunlight into an affordable, safe, reliable, and scalable source of energy, work with virtually every solar panel made, and when paired with our award-winning smart battery technology, we engineer one of the industry's best-performing clean energy systems. To date, we have installed more than 48 million microinverters on more than 2.5 million systems across 140 countries and well over 50 thousand homes use our energy storage products. Like our customers, our innovative teams are also worldwide, making Enphase Energy a truly global company. We are one of the fastest growing and most dynamic energy companies in the world. Nimble and acutely focused on developing ground-breaking solar energy management technology, each of our teams has a shared goal of creating a carbon-free future. Do you want to help change the world? Learn more about the role: For our Customer Experience team, we seek Hands-On AI/ML Staff Engineer who can work on designing & implementing high quality scalable AI/ML applications and platforms, while providing technical leadership/mentoring to a small team of talented developers in agile environment. Your ability to lead the architecture, design, and implementation of maintainable, high-quality, and high-performing Machine Learning systems and AI applications is essential for success in this role. Provide hands-on technical expertise to design, engineer, deploy, and deliver highly scalable machine learning applications. Drive improvements in technical architecture, standards, and processes. Drive engineering excellence while managing/mentoring talented team of developers in agile environment. Work closely with product management and other stakeholders for system design and delivery. What you will be doing: Understanding the customer experience business use cases and technical requirements and being able to convert them into a technical design that elegantly meets the requirements. Implementation of sophisticated analytics programs, machine learning, and statistical methods to prepare enterprise data for use in predictive and prescriptive modeling. Accountable for the data science platform design in addition to the use of case-based application solution design. Work on complex unstructured datasets using advanced statistical and analytical methods. Work closely with other technical and operational functions to gather, organize and analyze datasets to extract meaningful insights. Who you are and what you bring: MS or Bachelors in Computer Science, Math, Machine Learning, or a relevant field with 4+ yrs. of experience in industry and/or academic research Strong Experience in Python for Data Science, Data Science on AWS, Data Science solutions, Communication and Collaboration, Statistics & Probability. Ability to design and implement workflows of Linear & Logistic Regression, Ensemble Models (Random Forest, Boosting) using R/Python or Optimisation methodologies Demonstrable competency in Probability & Statistics, ability to use ideas of Data Distributions, Hypothesis Testing, and other Statistical Tests. Demonstrable competency in Data Visualisation using the Python/R Data Science Stack. Hands-on experience in using statistical and analytical techniques to complex business problems. Hands-on experience in solving regression, prediction, classification, clustering, neural networks, and Bayesian problems. Advanced knowledge of statistical techniques, machine learning algorithms, Bayesian Models, data mining, and text mining. Experience in handling large datasets on cloud and on-premises setup, using distributed computing. Able to understand various data structures and common methods in data transformation. Strong Programming background and expertise in building models in languages like Python, R, Scala, etc. Good knowledge of visual techniques for data analysis and presentation skills Strong troubleshooting skills in different disparate technologies and environments Enthusiastic about different areas of work and exploring new technologies Clarity of thought and strong communication skills to effectively pitch solutions Ability to explore and grasp new technologies Mentoring your team members in projects and helping them keep up with new technologies Empowering the team members to be solution providers and enable a flat environment where every ones point of view is considered, and feedback is encouraged.

Job Description Business Unit: Data Science Function: Center of Statistical and Data Science Research – Non Cooperator Estimation Role: Lead Data Scientist / Sr Data Scientist Location: Vadodara, India In 100 countries around the world, NielsenIQ provides clients the most complete understanding of how the FMCG market evolves and what consumers buy. As a global leader in measurement and information, we believe providing our clients a precise understanding of the consumer is the key to making the right decisions - decisions that can lead to profitable growth. At NielsenIQ, we’re always innovating to keep pace with emerging market trends and the increasingly diverse, demanding and connected consumer. Being a Lead Data Scientist in the Center of Statistical and Data Science Research, you will play a critical role in developing and implementing the next generation of solutions we offer our clients, powered by algorithms and AI and leveraging large volumes of internal data, client data and third party data. You’ll be actively participating with other team members in the overall Product creation process. From ideation through Proof Of Concept and experimenting for methodological development, to output visualization and fine tuning the setup to take into account different market specifics. You will be learning and exploring the newest technologies & applications for data streaming, data architecture, and data modelling solutions. You’ll work alongside a group of talented individuals with different areas of expertise including best in class data scientists, product managers, and data collection specialists with the main purpose of accelerating innovation. On a daily basis you’ll be expected to: Ideate and develop solutions for the product innovation pipeline. Build statistical and analytical models (including ML/AI approaches) as prototypes and POCs to address specific client business needs Adapt implementation and fine tune the setup of these models to new markets, new projects. Support productionizing those models by writing specifications to our Technology teams, supporting the development and testing the production implementation against your prototypes Document the solution and experimentation to arrive to it, and create specifications for Technology team to productionize it Refine and enhance product features Maintain data integrity and quality throughout the development lifecycle Read, write, comment, maintain, and share legible and quality computer code utilized in prototyping and solutioning. Qualifications Role requirements: E=essential, P=preferred E - Bachelors or Masters degree in Computer Science, Data Science, Statistics, Mathematics, Engineering or related field with requiring outstanding analytical expertise and strong technical background E - 2+ years of experience in data science/analytics related product development and/or data solutions development E - Knowledge of statistical and machine learning methodologies: Sampling theory, Probability Theory, Variation analysis, Outlier identification techniques, Regressions, Classification, Time series analysis, Clustering, Neural Networks, etc. E – Ability to lead prototyping as well as supporting pilot programs for R&D purposes. The primary areas include – but not limited to – trend analyses, identifying gaps for improvements in coverage, representation/ sampling, bias reduction, indirect estimation, data integration, automation, generalization, harmonization as well as working with different data sources. E - Proficient in Python/ R/ SQL or other statistical packages as well as version control. P - Ability to lead and influence with other functional areas as a team and deliver results on time and per-spec. P - Experience with Cloud computing, ETL, advanced data processing techniques (Spark, Hadoop, etc.) P - Experience working on Agile teams P - Domain in managing clients and proven experience of solving complex client requirements. P -Strong Communication skills and ability to present and explain methodological and operational solutions to executive leadership Additional Information Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion

Qualifications for Faculty (Mathematics, Economics, Statistics) To teach Class 11, 12, or higher-level courses in Mathematics, Economics, and Statistics at Dr. Sourav Sir Classes, candidates must meet the following qualifications: Educational Background : Minimum Requirement : A postgraduate degree (M.Sc., M.A., or equivalent) in Mathematics, Economics, Statistics, or a related field from a recognized university with at least 55% marks (50% for SC/ST/PwD candidates). Preferred : Ph.D. in the relevant subject or NET/SET qualification for teaching at higher levels. Candidates with B.Ed. or equivalent teaching qualifications are preferred for Class 11 and 12. For Mathematics: Strong foundation in subjects such as Calculus, Algebra, Probability, and Statistics. For Economics: Expertise in Microeconomics, Macroeconomics, Econometrics, and related areas like Public Economics or International Economics. For Statistics: Proficiency in Statistical Methods, Probability, Time Series Analysis, and applications in data analysis. Candidates with interdisciplinary knowledge (e.g., Mathematics with Economics or Statistics) are highly desirable. Experience : Minimum 2–3 years of teaching experience in junior colleges, coaching institutes, or higher education institutions, preferably for Class 11, 12, or undergraduate-level courses. Experience in preparing students for board exams (e.g., CBSE, ISC, State Boards) or competitive exams (e.g., JEE, NEET, or entrance exams for Economics/Statistics programs) is an advantage. Skills : Strong subject knowledge and ability to explain complex concepts in a clear, engaging manner. Excellent oratory and communication skills, with proficiency in English and/or Hindi (depending on the medium of instruction). Proficiency in using digital tools for online teaching (e.g., MS Office, MathML for Mathematics, or statistical software like R or SPSS). Ability to adapt teaching methods to cater to diverse student needs, including remedial instruction for weaker students and advanced challenges for high achievers. Certifications : For Class 11 and 12: B.Ed. or equivalent teaching certification is preferred but not mandatory. For higher levels: NET/SET clearance or equivalent is preferred. Additional Requirements : Passion for teaching and student development, with a creative and collaborative approach. Familiarity with Indian board syllabi (e.g., CBSE, ISC, or State Boards) and Common Core State Standards for Mathematics, where applicable. For international curricula (e.g., IB, A-levels), familiarity with syllabi and requirements is a plus. Work Details for Faculty Faculty members at Dr. Sourav Sir Classes teaching Mathematics, Economics, and Statistics for Class 11, 12, or higher levels are expected to perform the following duties: Teaching Responsibilities : Plan, develop, and deliver lessons aligned with the curriculum (e.g., CBSE, ISC, or university syllabi) for Class 11, 12, or undergraduate programs. Teach core topics in: Mathematics : Algebra, Calculus, Coordinate Geometry, Probability, Statistics, and Trigonometry for Class 11 and 12; advanced topics like Linear Algebra, Differential Equations, or Numerical Methods for higher levels. Economics : Microeconomics, Macroeconomics, Indian Economy, International Economics, and Econometrics for Class 11, 12, and higher levels. Statistics : Descriptive Statistics, Probability Distributions, Hypothesis Testing, Regression Analysis, and Time Series Analysis. Conduct live online and/or in-person lectures, ensuring interactive and engaging sessions. Employ varied teaching methodologies, including demonstrations, discussions, and problem-solving sessions, to cater to different learning styles. Prepare students for board exams, competitive exams, and higher education entrance tests by providing rigorous practice and conceptual clarity. Curriculum and Content Development : Create and update teaching materials, including lesson plans, assignments, worksheets, and practice papers. Suggest improvements to existing content to align with current syllabi and exam patterns. Develop supplementary resources, such as video tutorials or digital content, for online learning platforms. Student Assessment and Evaluation : Design and administer tests, quizzes, and assignments to evaluate student progress and mastery of concepts. Provide constructive feedback to students and guide them on improving academic performance. Track and report student progress to ensure alignment with course objectives and academic standards. Classroom and Behavior Management : Establish and maintain a positive, disciplined learning environment to foster student engagement. Address individual student needs, including support for students with special educational needs or disabilities (SEND). Encourage critical thinking, problem-solving, and analytical skills through interactive teaching methods. Administrative and Collaborative Duties : Coordinate with other faculty for interdisciplinary teaching (e.g., combining Economics with Statistics or Mathematics). Participate in faculty meetings, workshops, and professional development sessions to stay updated on teaching methodologies and curriculum changes. Work collaboratively with the academic team to ensure the institute’s educational goals are met. For higher-level teaching, supervise student projects or dissertations, if applicable. Additional Responsibilities : Provide career guidance and mentorship to students aspiring for careers in Mathematics, Economics, Statistics, or related fields (e.g., Data Science, Actuarial Science, or Finance). Maintain records of attendance, grades, and other academic metrics as required by the institute. Engage with parents or guardians to discuss student progress and address concerns, if needed. Work Schedule : Faculty are expected to teach 15–20 hours per week, including lectures and tutorials, with additional time for preparation, grading, and student consultations. Flexible hours may be required for online classes or special coaching sessions, especially during exam seasons. gl Commitment to Dr. Sourav Sir Classes Faculty members are expected to embody the institute’s mission of delivering high-quality education and fostering a passion for learning in Mathematics, Economics, and Statistics. They should inspire students to excel academically and develop critical skills for future success. Contact us at:8981679014

TheMathCompany or MathCo® is a global Enterprise AI and Analytics company trusted for data-driven decision-making by leading Fortune 500 and Global 2000 enterprises. Founded in 2016, MathCo builds custom AI and advanced analytics solutions focused on enterprise problem-solving through its innovative hybrid model. NucliOS, MathCo’s proprietary platform with pre-built workflows and reusable plug-and-play modules, enables the vision of connected intelligence at a lower TCO. For our employees, we foster an open, transparent, and collaborative culture with no barriers, making MathCo a great place to work. We provide exciting growth opportunities, value capabilities, and attitude over experience, enabling the Mathemagicians to ‘Leave a Mark’. Job Responsibilities As Manager-Delivery, you will be responsible for a wide range of engagements listed below: Collaborate with the Engagement Manager, Account Delivery Manager, and client stakeholders to gather business requirements for the project. Develop a comprehensive project plan that aligns with the scope and objectives of the project. Develop appropriate solution design that will help client achieve their goals. Assign delivery team members to different activities suited to their individual skills. Lead the execution of project activities according to the project plan. Monitor the project, track milestones, and adhere to agreed-upon timelines and scope. Accountable for the delivery quality of the project in question. Comply with all the critical dimensions of the delivery scorecard, report as-is facts on those dimensions, and develop and execute action plans to improve delivery scores. Lead internal scrum meetings and stand-ups with the clients and Weekly Business Reviews with the clients. Ensure compliance with best practices and established processes for quality assurance—for example, using quality assurance checklists, coding best practices, peer reviews, and documentation. Provide both business and technical guidance to the delivery team. Coach individuals in the team and build a high-performance workplace. Establish an environment of mutual trust and respect and encourage the team to experiment with new delivery ideas. Review the team's deliverables before sharing them with clients, including codes, presentations, worksheets, emails, etc. Required Skills (Must have) Tech: Advanced knowledge of probability and statistics Advanced knowledge of Practical Machine Learning and awareness of the key pitfalls in machine learning and approaches to addressing them Intermediate knowledge levels in SQL and Python Intermediate knowledge of project management methodologies and tools Intermediate knowledge of MS Office applications: MS Excel, MS PowerPoint, and MS Word. Non Tech: Strong business acumen with an ability to assess the financial impact of decisions, both in running the delivery team and delivering solutions to clients. Ability to storyboard presentations effectively and hold conversations with mid-management-level clients. Ability to recognize pragmatic alternatives vis-à-vis a perfect solution and get the delivery teams on board to pursue them, balancing time priorities with potential business impact. Strong people skills, including conflict resolution, empathy, communication, listening, and negotiation. Provide leadership and mentorship to the delivery team. Self-driven with a strong sense of ownership.

Position- Consultant: Job Summary: We are seeking a highly motivated risk consultant to join our team in Mumbai. Successful candidate should have a decent background in credit risk and banking. Key Responsibilities: Work on credit risk consulting offerings, utilizing knowledge of Probability of Default, transition matrix, ratings, Merton Model. Responsible for translation of requirements into specifications for the software development ensuring seamless implementation of credit risk models. Configure and implement credit rating models, ensuring accuracy and precision. Requirements: A graduate degree in a relevant field (e.g., Finance, Economics, Statistics, Mathematics), CFA or FRM is beneficial. 0-2 years of relevant work experience in the risk domain. Proficiency- MS Office (Excel, MS Word, Power-point, VBA) and Python. Familiarity with credit risk concepts Excellent analytical, problem-solving, and communication skills. Ability to work in a fast-paced environment and meet tight deadlines. Strong attention to detail and ability to work accurately.

Let’s be #BrilliantTogether ISS STOXX is growing! ISS STOXX is actively looking for an Associate – Index Product Research and Development (Sustainability) to Join the Mumbai Team (Goregaon East). Overview ISS STOXX is seeking an enthusiastic candidate with 2-5 years of experience to join the Sustainability Index R&D team in developing client-centric, innovative indices with a sustainability focus. The successful candidate will be part of a global, dynamic and inclusive research team that are responsible for index research and design, developing thought leadership in the sustainability investment space and creating competitive index solutions. Responsibilities Develop tools and processes that facilitate the development of innovative passive quantitative strategies. Work closely with internal and external stakeholders Excellent opportunity for the right candidate with a strong interest in portfolio construction and a good understanding of financial markets. Qualifications Successful candidates should come from a quantitative finance background. Knowledge of probability and statistics (e.g., machine learning, pattern recognition, NLP, time-series analysis) 2-5 years experience within quantitative finance or data science Excellent technical skills in Python, SQL and handling structured/un. Strong hands-on experience working with GCP. Education: Advanced degree in Computer Science/Statistics/Mathematics or similar quantitative field from IITs/NITs or other leading institutes Good communication, writing and presentation skills, including the ability to convey technical concepts to a wide range of audiences, are advantageous. Nice to have Experiences working with ESG, Climate, or Sustainability data, either in an industry role or in a research setting. #ASSOCIATE #STOXX What You Can Expect From Us At ISS STOXX, our people are our driving force. We are committed to building a culture that values diverse skills, perspectives, and experiences. We hire the best talent in our industry and empower them with the resources, support, and opportunities to grow—professionally and personally. Together, we foster an environment that fuels creativity, drives innovation, and shapes our future success. Let’s empower, collaborate, and inspire. Let’s be #BrilliantTogether. About ISS STOXX ISS STOXX GmbH is a leading provider of research and technology solutions for the financial market. Established in 1985, we offer top-notch benchmark and custom indices globally, helping clients identify investment opportunities and manage portfolio risks. Our services cover corporate governance, sustainability, cyber risk, and fund intelligence. Majority-owned by Deutsche Börse Group, ISS STOXX has over 3,400 professionals in 33 locations worldwide, serving around 6,400 clients, including institutional investors and companies focused on ESG, cyber, and governance risk. Clients trust our expertise to make informed decisions for their stakeholders' benefit. STOXX® and DAX® indices comprise a global and comprehensive family of more than 17,000 strictly rules-based and transparent indices. Best known for the leading European equity indices EURO STOXX 50®, STOXX® Europe 600 and DAX®, the portfolio of index solutions consists of total market, benchmark, blue-chip, sustainability, thematic and factor-based indices covering a complete set of world, regional and country markets. STOXX and DAX indices are licensed to more than 550 companies around the world for benchmarking purposes and as underlyings for ETFs, futures and options, structured products, and passively managed investment funds. STOXX Ltd., part of the ISS STOXX group of companies, is the administrator of the STOXX and DAX indices under the European Benchmark Regulation. Visit our website: https://www.issgovernance.com View additional open roles: https://www.issgovernance.com/join-the-iss-team/ Institutional Shareholder Services (“ISS”) is committed to fostering, cultivating, and preserving a culture of diversity and inclusion. It is our policy to prohibit discrimination or harassment against any applicant or employee on the basis of race, color, ethnicity, creed, religion, sex, age, height, weight, citizenship status, national origin, social origin, sexual orientation, gender identity or gender expression, pregnancy status, marital status, familial status, mental or physical disability, veteran status, military service or status, genetic information, or any other characteristic protected by law (referred to as “protected status”). All activities including, but not limited to, recruiting and hiring, recruitment advertising, promotions, performance appraisals, training, job assignments, compensation, demotions, transfers, terminations (including layoffs), benefits, and other terms, conditions, and privileges of employment, are and will be administered on a non-discriminatory basis, consistent with all applicable federal, state, and local requirements.

Location: HYD, GGN, Noida About the Role Qualifications Bachelor’s degree in mathematics, Statistics, Science, Engineering, Economics, or another related technical field from an accredited college/university Required Skills Total relevant work experience of 11+ years and more in HealthCare domain Strong experience in experience in Medicare and Actuarial At least 5+ years of actuarial / analytics experience in the US healthcare market Experience building models using SAS or SQL or other programming system Advanced Proficiency in SAS (Statistical Analysis System) or SQL (Structure Query Language) or other programming system Strong written and verbal communication skills and experience interacting with senior management Understanding statistical concepts and probability is essential ```

We are hiring for an analyst/AI-ML role,s one of the leading Product-based clients in Bangalore. Position: Data Analyst/Sr. Data Analyst/Associate Revenue Manager Job Location—Bangalore pedigree—Tier 1 institution Notice - immediate or 30 days max Experience in creating, collecting, analysing and communicating business insights from data. ● Experience working on metrics such as retention, churn, engagement and marketing analytics. ● Knowledge of Analytics & self-service BI approaches and predictive analytics solutions is a strong advantage. ● Strong background in SQL and experience working on Python. ● Experience in Statistical techniques (R, hypothesis testing). ● Should have worked on Tableau, Google Analytics and Clevertap. ● Knowledge of DataRobot, Azure or AWS AI/ML will be a plus. Position 2- DATA SCIENTIST ( AI/ML ) Develop, deploy and maintain the ML/Deep Learning models in production or build the regular Cadence to facilitate the same ● Work closely with the Engineering team to strategies and execute the development of Data Science projects. ● Communicate progress/findings to relevant stakeholders. ● Assist in defining short and long term roadmaps that help growth and demonstrate impact at the organisational level. ● Upto date knowledge in the field of technical and industry developments. -2-5 years of experience in with Bachelor's/Master's degree in Statistics, Applied mathematics, or related discipline ● Effective communication of DS requirements and dissemination of right knowledge to relevant stakeholders. ● Experience with Spark, Flask, SQL, Python, Cloud platform. ● Experience in Machine Learning, Deep Learning and Engineering aspects of ML model deployment. ● Proficiency with data analysis, mathematics/probability, and statistical analysis. ● Experience in predictive modelling exercise. ● Comfort working in a dynamic, fast paced, hands-on and ma

Position Overview: We are seeking a passionate and dedicated MYP, IGCSE, DP Math Teacher to join our IB World School. The ideal candidate will inspire and challenge students to excel in mathematics while fostering critical thinking, problem-solving, and analytical skills. The teacher will be responsible for delivering the International Baccalaureate curriculum, ensuring a holistic and student-centered learning experience. Key Responsibilities: Curriculum Planning and Delivery: Plan and deliver engaging and differentiated lessons aligned with the IB MYP and DP mathematics curriculum. Develop and implement inquiry-based learning strategies to encourage students’ active participation. Ensure lessons cater to a range of student abilities and learning styles. Assessment and Feedback: Design formative and summative assessments to evaluate student understanding and progress. Provide timely and constructive feedback to students to enhance their learning experience. Prepare students for internal and external assessments, including DP examinations. Student Support and Engagement: Offer individual and group support to help students meet learning objectives. Encourage students to explore real-world applications of mathematical concepts. Foster an inclusive and respectful classroom environment. Collaboration and Professional Development: Work collaboratively with other subject teachers and IB coordinators to integrate interdisciplinary approaches. Participate in professional development sessions to stay updated on IB standards and practices. Contribute to curriculum reviews and updates. Pastoral and Extracurricular Duties: Support students' overall well-being by acting as a mentor or advisor when required. Participate in school activities, events, and initiatives, including math clubs or competitions. Qualifications and Skills: Education: Bachelor’s or Master’s degree in Mathematics or a related field. A teaching qualification (B.Ed., PGCE, or equivalent). Experience: Prior experience teaching IB MYP and/or DP Mathematics is highly desirable. Familiarity with IB philosophy and pedagogy. Skills: Strong subject knowledge in mathematics, including concepts like calculus, algebra, probability, and statistics. Excellent communication and interpersonal skills. Proficiency in integrating technology into teaching practices. Commitment to fostering a love for learning in students. Preferred Attributes: IB-trained or certified educators will be given priority. Ability to adapt to a multicultural and diverse environment. A reflective and collaborative mindset. Job Types: Full-time, Permanent Pay: ₹60,000.00 - ₹125,000.00 per month Benefits: Paid time off Provident Fund Schedule: Morning shift Ability to commute/relocate: Mumbai, Mumbai Suburban - 400089, Maharashtra: Reliably commute or planning to relocate before starting work (Required) Application Deadline: 21/07/2025

Position Summary... What you'll do... Skill: Site Reliability Engineer (Java, Splunk, Dynatrace, Devops) Experience range: 5 - 10 years Location: Bangalore About Team: Transactional System provides core transactional systems to enable segment and technology partners in creating wonderful omni experiences with speed and leverage. We are a highly motivated group of engineers, working in an agile group to solve sophisticated and high impact problems. This role is part of Cloud Powered Checkout team and will build the next generation multi-tenant, client agnostic, highly scalable, omnichannel checkout solution to seamlessly enable a frictionless customer checkout experience across all sales channels globally. We process millions of orders daily through our high-performance checkout services running in Edge and Cloud. As a Site Reliability Engineer in the CPC Team , you will work with L2, Other dependent Applications, Platform team, DevOps and Engineering practitioners to proactively maintain mission-critical infrastructure, cloud platforms, microservices, tools, and processes that will ensure the highest levels of availability and reliability of CPC applications. Our team works closely with our US stores and eCommerce business to better serve customers by empowering team members, stores, and merchants with technological innovation. From groceries and entertainment to sporting goods and crafts, Walmart U.S. offers an extensive selection that our customers value, whether they shop online at Walmart.com, through one of our mobile apps, or in-store. Focus areas include customers, stores and employees, in-store service, merchant tools, merchant data science, and search and personalization. What you'll do: Incident triage, Escalation and Resolution: Triage site-impacting production issues by quantifying impact, severity and urgency, analyzing systems for quick remediation, engaging the right teams for recovery [Reduce MTTE Mean Time to Engage], and focusing on immediate restoration [ Reduce MTTR Mean Time to Restore] of large-scale enterprise systems. Alert, Monitoring, Log analysis: Detect and analyze monitoring graphs and alerts to identify systems causing production impacts with various tools like Grafana, Prometheus, MMS, Service Now, JIRA, Dynatrace, Splunk etc [Reduce MTTD Mean Time to Detect]. Enhance Alerting solutions: Design and implement JavaScript for the integration of alerting tool with service API endpoints with various tools like ServiceNow, Spotlight, Splunk, and xMatters. Requires knowledge of: Monitoring and alerting tools; Monitoring metrics and key performance indicators (for example, availability, MTBF, MTTR); SLIs and SLOs (for example, request latency, availability, error rates, saturation); Distributed tracing; Alerting logic. To demonstrate awareness of the metrics used to monitor software or system performance. Monitors current performance data to ensure adherence to defined SLOs and SLIs for simple applications/systems. Demonstrates awareness of the different types of alerts generated by the monitoring tools. Demonstrates awareness of infrastructure and application metrics. Disaster Recovery Planning: Requires knowledge of: Disaster recovery procedures and processes; Enterprise disaster recovery systems. To work with business partners to identify and document critical applications. Performance and Optimization : Requires knowledge of: Unix/Linux performance optimization tuning; Java/NodeJS/Tomcat/Apache tuning and optimization; Chaos tools to utilize established criteria (for example, probability of failure, frequency of failure) to measure site reliability. Monitors site reliability conditions and new reliability requirements. Work on Product Enrichment ; Content Services projects at Walmart: Develop enterprise monitoring and utilize tooling software solutions such as Grafana, Splunk etc, to improve visibility, pro-actively detect issues and restore system availability. Develop Tools and support: Design and develop solutions for widespread internal communications for cloud applications support or workflows for infrastructure availability issues with various internal applications with multiple programming languages like Java, JavaScript (React, Node JS), Python and Shell programming technologies like Prometheus, Database Query languages. Design and develop a UI tool to display Item Content Quality data on a dashboard using AngularJS, ReactJs, HTML5 ; CSS3 etc To create and maintain Playbooks. Steps to perform correct analysis on the issues and engage correct teams for CPC, Dependent downstream services and Platform teams. To handle Deployments. Streamline the deployments process and handle the responsibility as a single team. Understand and explore Post validations and back out steps to make app more resilient. Coordinate with platform teams for non-app releases like VM upgrades, DB Maintenance, and other component environment related tasks. Participate in rotating on-call duties and work across different time zone with a multi-national team Responsible for timely root cause analysis [RCA] of production issues. Develop reusable tooling and processes to drive and improve customer experience and lower operational costs. Understand DevOps Industry best practices Help teams to build highly Observable and Resilient systems Collaborate with developers to capture requirements and understanding pain points Build reusable tools, library, dashboards which can be used across DevOps/SRE teams What you'll bring: Bachelors degree in Computer Science, Engineering or related discipline 5+ years of hands-on related to SRE, Operations ; Development experience with Java Script, Java, Restful services, Git, Maven, Jenkins, DevOps, Containerization, Docker, Kubernetes, Azure, Google cloud, Kafka, Azure Cosmos, Azure SQL, Mega cache CI/CD ,Prometheus, Grafana, Splunk etc. Automation and Self-healing: Demonstrate knowledge of scripting and software development for automation and self-healing of multi-cloud environments. Help enhance existing solutions by developing automation with Docker, Kubernetes and working with DevOps and Engineering partners. Excellent end to end technical understanding of core infrastructure, cloud services, platforms, and micro-services. Ability to effectively triage be able to detect and determine symptom vs cause. Identify and drive continuous improvement efforts to reduce waste (eliminate, automate or streamline). Influence the design of system architecture and tactical solutions. Familiar with log centric tooling. Produce time series data and reusable dashboards for use both during and post event. About Walmart Global Tech Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail. Flexible, hybrid work We use a hybrid way of working with primary in office presence coupled with an optimal mix of virtual presence. We use our campuses to collaborate and be together in person, as business needs require and for development and networking opportunities. This approach helps us make quicker decisions, remove location barriers across our global team, be more flexible in our personal lives. Benefits Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include a host of best-in-class benefits maternity and parental leave, PTO, health benefits, and much more. Belonging We aim to create a culture where every associate feels valued for who they are, rooted in respect for the individual. Our goal is to foster a sense of belonging, to create opportunities for all our associates, customers and suppliers, and to be a Walmart for everyone. At Walmart, our vision is "everyone included." By fostering a workplace culture where everyone is—and feels—included, everyone wins. Our associates and customers reflect the makeup of all 19 countries where we operate. By making Walmart a welcoming place where all people feel like they belong, we’re able to engage associates, strengthen our business, improve our ability to serve customers, and support the communities where we operate. Equal Opportunity Employer Walmart, Inc., is an Equal Opportunities Employer – By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing unique styles, experiences, identities, ideas and opinions – while being inclusive of all people. Minimum Qualifications... Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Minimum Qualifications:Option 1: Bachelor's degree in computer science, information technology, engineering, information systems, cybersecurity, or related area and 3years’ experience in software engineering or related area at a technology, retail, or data-driven company. Option 2: 5 years’ experience in software engineering or related area at a technology, retail, or data-driven company. Preferred Qualifications... Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications. Certification in Security+, GISF, CISSP, CCSP, or GSEC, Master’s degree in computer science, information technology, engineering, information systems, cybersecurity, or related area and 1 year’s experience leading information security or cybersecurity projects Information Technology - CISCO Certification - Certification Primary Location... Pardhanani Wilshire Ii, Cessna Business Park, Kadubeesanahalli Village, Varthur Hobli , India R-2227887

Role**: Digital : Data Science Required Technical Skill Set: Digital : Data Science Desired Experience Range: 03 - 08 yrs Notice Period: Immediate to 90Days only Location of Requirement: Hyderabad/Bangalore/Pune/Chennai/Kolkata We are currently planning to do a Virtual Interview Job Description: Must-Have** (Ideally should not be more than 3-5) Proficiency in Python or R for data analysis and modeling. Strong understanding of machine learning algorithms (regression, classification, clustering, etc.). Experience with SQL and working with relational databases. Hands-on experience with data wrangling, feature engineering, and model evaluation techniques. Experience with data visualization tools like Tableau, Power BI, or matplotlib/seaborn. Strong understanding of statistics and probability. Ability to translate business problems into analytical solutions. Good-to-Have Experience with deep learning frameworks (TensorFlow, Keras, PyTorch). Knowledge of big data platforms (Spark, Hadoop, Databricks). Experience deploying models using MLflow, Docker, or cloud platforms (AWS, Azure, GCP). Familiarity with NLP, computer vision, or time series forecasting. Exposure to MLOps practices for model lifecycle management. Understanding of data privacy and governance concepts. SN Responsibility of / Expectations from the Role 1 Work with stakeholders to identify business requirements and opportunities for leveraging data. Design and implement advanced analytics models using machine learning and statistical techniques. Clean, process, and analyze large datasets from various sources (structured & unstructured). Develop, test, and deploy predictive models and data pipelines. Create data visualizations, dashboards, and reports to communicate insights to non-technical users. Collaborate with data engineers, analysts, and product teams to integrate models into production environments. Monitor and continuously improve model performance. Stay up-to-date with latest research, tools, and techniques in data science and AI.

Full-time Career Site Team: Data Science & Business Intelligence Job Description Business Unit: Data Science Function: Center of Statistical and Data Science Research – Non Cooperator Estimation Role: Lead Data Scientist / Sr Data Scientist Location: Vadodara, India In 100 countries around the world, NielsenIQ provides clients the most complete understanding of how the FMCG market evolves and what consumers buy. As a global leader in measurement and information, we believe providing our clients a precise understanding of the consumer is the key to making the right decisions -- decisions that can lead to profitable growth. At NielsenIQ, we’re always innovating to keep pace with emerging market trends and the increasingly diverse, demanding and connected consumer. Being a Lead Data Scientist in the Center of Statistical and Data Science Research, you will play a critical role in developing and implementing the next generation of solutions we offer our clients, powered by algorithms and AI and leveraging large volumes of internal data, client data and third party data. You’ll be actively participating with other team members in the overall Product creation process. From ideation through Proof Of Concept and experimenting for methodological development, to output visualization and fine tuning the setup to take into account different market specifics. You will be learning and exploring the newest technologies & applications for data streaming, data architecture, and data modelling solutions. You’ll work alongside a group of talented individuals with different areas of expertise including best in class data scientists, product managers, and data collection specialists with the main purpose of accelerating innovation. On a Daily Basis You’ll Be Expected To Ideate and develop solutions for the product innovation pipeline. Build statistical and analytical models (including ML/AI approaches) as prototypes and POCs to address specific client business needs Adapt implementation and fine tune the setup of these models to new markets, new projects. Support productionizing those models by writing specifications to our Technology teams, supporting the development and testing the production implementation against your prototypes Document the solution and experimentation to arrive to it, and create specifications for Technology team to productionize it Refine and enhance product features Maintain data integrity and quality throughout the development lifecycle Read, write, comment, maintain, and share legible and quality computer code utilized in prototyping and solutioning. Qualifications Role requirements: E=essential, P=preferred E - Bachelors or Masters degree in Computer Science, Data Science, Statistics, Mathematics, Engineering or related field with requiring outstanding analytical expertise and strong technical background E - 2+ years of experience in data science/analytics related product development and/or data solutions development E - Knowledge of statistical and machine learning methodologies: Sampling theory, Probability Theory, Variation analysis, Outlier identification techniques, Regressions, Classification, Time series analysis, Clustering, Neural Networks, etc. E – Ability to lead prototyping as well as supporting pilot programs for R&D purposes. The primary areas include – but not limited to – trend analyses, identifying gaps for improvements in coverage, representation/ sampling, bias reduction, indirect estimation, data integration, automation, generalization, harmonization as well as working with different data sources. E - Proficient in Python/ R/ SQL or other statistical packages as well as version control. P - Ability to lead and influence with other functional areas as a team and deliver results on time and per-spec. P - Experience with Cloud computing, ETL, advanced data processing techniques (Spark, Hadoop, etc.) P - Experience working on Agile teams P - Domain in managing clients and proven experience of solving complex client requirements. P -Strong Communication skills and ability to present and explain methodological and operational solutions to executive leadership Additional Information Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion I'm interested I'm interested Privacy Policy

Job Description Business Unit: Data Science Function: Center of Statistical and Data Science Research – Non Cooperator Estimation Role: Lead Data Scientist / Sr Data Scientist Location: Vadodara, India In 100 countries around the world, NielsenIQ provides clients the most complete understanding of how the FMCG market evolves and what consumers buy. As a global leader in measurement and information, we believe providing our clients a precise understanding of the consumer is the key to making the right decisions -- decisions that can lead to profitable growth. At NielsenIQ, we’re always innovating to keep pace with emerging market trends and the increasingly diverse, demanding and connected consumer. Being a Lead Data Scientist in the Center of Statistical and Data Science Research, you will play a critical role in developing and implementing the next generation of solutions we offer our clients, powered by algorithms and AI and leveraging large volumes of internal data, client data and third party data. You’ll be actively participating with other team members in the overall Product creation process. From ideation through Proof Of Concept and experimenting for methodological development, to output visualization and fine tuning the setup to take into account different market specifics. You will be learning and exploring the newest technologies & applications for data streaming, data architecture, and data modelling solutions. You’ll work alongside a group of talented individuals with different areas of expertise including best in class data scientists, product managers, and data collection specialists with the main purpose of accelerating innovation. On a daily basis you’ll be expected to: Ideate and develop solutions for the product innovation pipeline Build statistical and analytical models (including ML/AI approaches) as prototypes and POCs to address specific client business needs Adapt implementation and fine tune the setup of these models to new markets, new projects Support productionizing those models by writing specifications to our Technology teams, supporting the development and testing the production implementation against your prototypes Document the solution and experimentation to arrive to it, and create specifications for Technology team to productionize it Refine and enhance product features Maintain data integrity and quality throughout the development lifecycle Read, write, comment, maintain, and share legible and quality computer code utilized in prototyping and solutioning Qualifications Role requirements: E=essential, P=preferred E - Bachelors or Masters degree in Computer Science, Data Science, Statistics, Mathematics, Engineering or related field with requiring outstanding analytical expertise and strong technical background E - 2+ years of experience in data science/analytics related product development and/or data solutions development E - Knowledge of statistical and machine learning methodologies: Sampling theory, Probability Theory, Variation analysis, Outlier identification techniques, Regressions, Classification, Time series analysis, Clustering, Neural Networks, etc E – Ability to lead prototyping as well as supporting pilot programs for R&D purposes. The primary areas include – but not limited to – trend analyses, identifying gaps for improvements in coverage, representation/ sampling, bias reduction, indirect estimation, data integration, automation, generalization, harmonization as well as working with different data sources E - Proficient in Python/ R/ SQL or other statistical packages as well as version control P - Ability to lead and influence with other functional areas as a team and deliver results on time and per-spec P - Experience with Cloud computing, ETL, advanced data processing techniques (Spark, Hadoop, etc.) P - Experience working on Agile teams P - Domain in managing clients and proven experience of solving complex client requirements P -Strong Communication skills and ability to present and explain methodological and operational solutions to executive leadership Additional Information Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion

About the Role: Grade Level (for internal use): 11 The Team : As a member of the EDO, Collection Platforms & AI – Cognitive Engineering team you will work on building GenAI-driven and ML-powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global. You will define AI strategy, mentor others, and drive production-ready AI products and pipelines while leading by example in a highly engaging work environment. You will work in a (truly) global team and be encouraged for thoughtful risk-taking and self-initiative. What’s in it for you: Be a part of a global company and build solutions at enterprise scale Lead and grow a highly skilled, hands-on technical team (including mentoring junior data scientists) Contribute to solving high-complexity, high-impact problems end-to-end Architect and oversee production-ready pipelines from ideation to deployment Responsibilities: Define AI roadmap, tooling choices, and best practices for model building, prompt engineering, fine-tuning, and vector retrieval systems Architect, develop and deploy large-scale ML and GenAI-powered products and pipelines Own all stages of the data science project lifecycle, including: Identification and scoping of high-value data science and AI opportunities Partnering with business leaders, domain experts, and end-users to gather requirements and align on success metrics Evaluation, interpretation, and communication of results to executive stakeholders Lead exploratory data analysis, proof-of-concepts, model benchmarking, and validation experiments for both ML and GenAI approaches Establish and enforce coding standards, perform code reviews, and optimize data science workflows Drive deployment, monitoring, and scaling strategies for models in production (including both ML and GenAI services) Mentor and guide junior data scientists; foster a culture of continuous learning and innovation Manage stakeholders across functions to ensure alignment and timely delivery Technical Requirements: Hands-on experience with large language models (e.g., OpenAI, Anthropic, Llama), prompt engineering, fine-tuning/customization, and embedding-based retrieval Expert proficiency in Python (NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF 2, Hugging Face Transformers) Deep understanding of ML & Deep Learning models, including architectures for NLP (e.g., transformers), GNNs, and multimodal systems Strong grasp of statistics, probability, and the mathematics underpinning modern AI Ability to surf and synthesize current AI/ML research, with a track record of applying new methods in production Proven experience on at least one end-to-end GenAI or advanced NLP project: custom NER, table extraction via LLMs, Q&A systems, summarization pipelines, OCR integrations, or GNN solutions Familiarity with orchestration and deployment tools: Airflow, Redis, Flask/Django/FastAPI, SQL, R-Shiny/Dash/Streamlit Openness to evaluate and adopt emerging technologies and programming languages as needed Good to have: Master’s or Ph.D. in Computer Science, Statistics, Mathematics, or related field (minimum Bachelor’s) 6+ years of relevant experience in Data Science/AI, with at least 2 years in a leadership or technical lead role Prior experience in the Economics/Financial industry, especially with market-intelligence or risk analytics products Public contributions or demos on GitHub, Kaggle, StackOverflow, technical blogs, or publications What’s In It For You? Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here . ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----------------------------------------------------------- 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 317406 Posted On: 2025-07-06 Location: Gurgaon, Haryana, India

About the Role: Grade Level (for internal use): 11 The Team : As a member of the EDO, Collection Platforms & AI – Cognitive Engineering team you will work on building GenAI-driven and ML-powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global. You will define AI strategy, mentor others, and drive production-ready AI products and pipelines while leading by example in a highly engaging work environment. You will work in a (truly) global team and be encouraged for thoughtful risk-taking and self-initiative. What’s in it for you: Be a part of a global company and build solutions at enterprise scale Lead and grow a highly skilled, hands-on technical team (including mentoring junior data scientists) Contribute to solving high-complexity, high-impact problems end-to-end Architect and oversee production-ready pipelines from ideation to deployment Responsibilities: Define AI roadmap, tooling choices, and best practices for model building, prompt engineering, fine-tuning, and vector retrieval systems Architect, develop and deploy large-scale ML and GenAI-powered products and pipelines Own all stages of the data science project lifecycle, including: Identification and scoping of high-value data science and AI opportunities Partnering with business leaders, domain experts, and end-users to gather requirements and align on success metrics Evaluation, interpretation, and communication of results to executive stakeholders Lead exploratory data analysis, proof-of-concepts, model benchmarking, and validation experiments for both ML and GenAI approaches Establish and enforce coding standards, perform code reviews, and optimize data science workflows Drive deployment, monitoring, and scaling strategies for models in production (including both ML and GenAI services) Mentor and guide junior data scientists; foster a culture of continuous learning and innovation Manage stakeholders across functions to ensure alignment and timely delivery Technical Requirements: Hands-on experience with large language models (e.g., OpenAI, Anthropic, Llama), prompt engineering, fine-tuning/customization, and embedding-based retrieval Expert proficiency in Python (NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF 2, Hugging Face Transformers) Deep understanding of ML & Deep Learning models, including architectures for NLP (e.g., transformers), GNNs, and multimodal systems Strong grasp of statistics, probability, and the mathematics underpinning modern AI Ability to surf and synthesize current AI/ML research, with a track record of applying new methods in production Proven experience on at least one end-to-end GenAI or advanced NLP project: custom NER, table extraction via LLMs, Q&A systems, summarization pipelines, OCR integrations, or GNN solutions Familiarity with orchestration and deployment tools: Airflow, Redis, Flask/Django/FastAPI, SQL, R-Shiny/Dash/Streamlit Openness to evaluate and adopt emerging technologies and programming languages as needed Good to have: Master’s or Ph.D. in Computer Science, Statistics, Mathematics, or related field (minimum Bachelor’s) 6+ years of relevant experience in Data Science/AI, with at least 2 years in a leadership or technical lead role Prior experience in the Economics/Financial industry, especially with market-intelligence or risk analytics products Public contributions or demos on GitHub, Kaggle, StackOverflow, technical blogs, or publications What’s In It For You? Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here . ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----------------------------------------------------------- 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 317407 Posted On: 2025-07-06 Location: Gurgaon, Haryana, India

Job Title: Fullstack Developer (Node.js + TypeScript + Angular/React) – Contract to Hire Client: Confidential Location: Kothrud, Pune (Work from Office – Local candidates only) Type: Contract to Hire (3 months, high probability of extension) Experience: 4–6 Years Salary: ₹1,30,000 + GST per month Joining: Immediate or within 7 days About the Role: A reputed technology firm is seeking skilled Fullstack Developers to join its Pune office immediately on a contract-to-hire basis. The role requires solid backend experience with Node.js (Express or Hapi) , strong frontend expertise in Angular or React with TypeScript , and hands-on knowledge of MySQL and microservices architecture . This is a dynamic opportunity for professionals who want to work in a fast-paced, product-centric environment involving cutting-edge work in areas like IoT, AI/ML, Fintech, and Unified Communications . Responsibilities: Design and develop scalable fullstack web applications using Node.js (Express/Hapi) and Angular or React with TypeScript Build and maintain RESTful APIs and microservices Optimize application performance, security, and responsiveness Write reusable components, modules, and plugins Integrate MySQL databases and write efficient queries Collaborate with cross-functional teams for project delivery Troubleshoot issues and participate in debugging, performance tuning, and code reviews Preferred Skill Criteria (Must-Haves): 4+ years of hands-on experience with Node.js (Express or Hapi) and TypeScript Proficient in Angular or React (TypeScript preferred) Good experience in MySQL and relational database design Proven problem-solving ability, including building custom modules or plugins Strong understanding of microservices architecture Requirements: BE/BTech/MSc (CS/IT)/MCA or equivalent 4–6 years of fullstack development experience Solid command of JavaScript, TypeScript, and web development principles Strong communication and collaboration skills Ability to join immediately or within 7 days Only Pune-based candidates will be considered Interview Process: Resume Screening Assignment / Coding Round Technical Interview Techno-Managerial Round Additional Information: Duration: 3 months contract (High chance of extension) Work Mode: On-site – Kothrud, Pune Payroll: Confidential Job Types: Full-time, Permanent Pay: ₹150,000.00 - ₹250,000.00 per month Benefits: Provident Fund Location Type: In-person Schedule: Day shift Application Question(s): if u are selected when will you be join give any date ? Experience: Full-stack development: 5 years (Required) Work Location: In person

Job Title : Subject Matter Expert (SME) – Statistics Department : Academic Content / Research & Analytics Location : Nungambakkam Chennai Job Type : Full-Time Experience Level : 2–4 years preferred/Fresher not eligible to apply Salary : 25000 to 35,000 per Month Job Summary : We are looking for a highly competent Subject Matter Expert (SME) in Statistics to contribute to academic content development, course material creation, and quality assurance. The ideal candidate will have deep expertise in statistical theory and applications, and a passion for simplifying complex concepts for learners or clients. Key Responsibilities : Develop and review high-quality statistical content for academic, technical, or corporate use, including case studies, reports, and research papers. Conduct descriptive and inferential data analysis using SPSS and other statistical tools. Assist in formulating research hypotheses, performing hypothesis testing, and interpreting results in line with research objectives. Prepare clear, well-structured written explanations of statistical concepts, models, and output for non-technical audiences. Guide clients or internal teams on statistical techniques such as regression, ANOVA, chi-square, factor analysis, and multivariate models. Review and validate statistical sections in dissertations, journal articles, or project reports. Collaborate with cross-functional teams including content writers, editors, and domain experts to ensure accuracy and coherence of statistical elements. Maintain updated knowledge of the latest trends, methodologies, and best practices in statistics and data analysis. Core Areas of Expertise (as applicable): Descriptive & Inferential Statistics Probability Theory and Distributions Hypothesis Testing Regression Analysis (Linear & Logistic) ANOVA, Chi-square, T-tests Statistical Inference Time Series Analysis Sampling Techniques Data Interpretation Experimental Design Required Qualifications : Master’s or Ph.D. in Statistics, Strong foundation in both theoretical and applied statistics . Experience in content creation, teaching, academic writing, or research (preferred). Desired Skills : Proficiency in statistical tools like R, Python, SPSS, SAS, Stata, or Excel. Familiarity with e-learning tools or platforms (e.g., Moodle, Canvas, or proprietary LMS). Strong written communication and academic writing abilities. Ability to explain complex statistical ideas in a clear, simple, and engaging manner . Attention to detail and commitment to quality and accuracy . Contact : 9566269922 Job Type: Full-time Pay: From ₹35,000.00 per month Benefits: Cell phone reimbursement Paid sick time Provident Fund Schedule: Day shift Supplemental Pay: Performance bonus Work Location: In person

You were made to do this work: designing new technologies, diving into data, optimizing digital experiences, and constantly developing better, faster ways to get results. You want to be part of a performance culture dedicated to building technology for a purpose that matters. You want to work in an environment that promotes sustainability, inclusion, wellbeing, and career development. In this role, you’ll help us deliver better care for billions of people around the world. It starts with YOU. In this role, you will: The Digital Technology Solutions (DTS) organization is seeking an experienced Business Analyst (BA) for a role on the Warehouse Management team (WMS). This team supports and develops solutions for Kimberly-Clark’s warehouse management systems in the region. The team focuses on delivering business value via process and system enhancements, projects, and support. Leads and delivers the analysis, design, configuration, customization, testing, deployment and support for applications within the warehouse management business process area. Functional leader of medium to large projects for a specific business capability. Accountabilities across multiple functional and technical areas with wide range of complexity. Proactive analysis of business processes and identification of innovative ways to use technology to address near term business needs which includes identifying these opportunities, reviewing and obtaining a disposition decision from the appropriate business client, assessing the fit of these opportunities into current initiatives, or including the opportunity in future demand Participates with Business resources to establish requirements for the implementation of changes in the business process. As part of this team, the WMS BA will be responsible for integrating business, information, and technology architecture to create solutions for the relevant business capability area and in some cases, cross capability areas. Focus on cost savings, business growth, as well as connecting with partners and customers. Accountabilities across multiple functional and technical analytical areas with wide range of complexity. Leader of medium to complex projects for a specific business capability or across multiple capabilities. Translates non-functional and functional requirements into end-to-end analytical solution designs, ensuring solution aligns with business goals and processes, uses and provides enterprise information consistently, integrates effectively with other applications and supports a common application environment. Collaborates with other BA and Enterprise Architecture to make sure that solutions fit within enterprise context and aims for standardization of solutions across K-C’s application landscape. Coordinates medium to complex WMS / EWM implementations while leading design variances based upon business needs. Coordinates engagements with vendors as they relate to evaluation, design and delivery of business capabilities. Contributes to the evaluation and selection of software product standards. About Us Huggies®. Kleenex®. Cottonelle®. Scott®. Kotex®. Poise®. Depend®. Kimberly-Clark Professional®. You already know our legendary brands—and so does the rest of the world. In fact, millions of people use Kimberly-Clark products every day. We know these amazing Kimberly-Clark products wouldn’t exist without talented professionals, like you. At Kimberly-Clark, you’ll be part of the best team committed to driving innovation, growth and impact. We’re founded on more than 150 years of market leadership, and we’re always looking for new and better ways to perform – so there’s your open door of opportunity. It’s all here for you at Kimberly-Clark. Led by Purpose. Driven by You. About You You perform at the highest level possible, and you appreciate a performance culture fueled by authentic caring. You want to be part of a company actively dedicated to sustainability, inclusion, wellbeing, and career development. You love what you do, especially when the work you do makes a difference. At Kimberly-Clark, we’re constantly exploring new ideas on how, when, and where we can best achieve results. When you join our team, you’ll experience Flex That Works: flexible (hybrid) work arrangements that empower you to have purposeful time in the office and partner with your leader to make flexibility work for both you and the business. In one of our technical roles, you’ll focus on winning with consumers and the market, while putting safety, mutual respect, and human dignity at the center. To succeed in this role, you will need the following qualifications: A minimum of 3 years of applied IT experience. SAP experience in Supply Chain related modules (SD, MM, LE, PP, SCM). Strong analytical and problem-solving skills Strong communication skills Possess strong leadership skills and exhibit creative thinking to be able to come up with inventive solutions to solve business challenges. Comfortable consulting with resources from other disciplines and effective at working across multiple organizational boundaries Preferred Qualifications: SAP functional and configuration knowledge of the SAP’s extended warehouse management (EWM) or Warehouse Management (WM) processes. Knowledge of SAP user exits, BAPI’s, and BADI’s. Knowledge of ABAP concepts and ability to debug. Experience working in a virtual team across distance (remote), cultures and time zones, in a matrix with multiple reporting lines. Role Skills/Competencies: Business analysis: Investigates operational requirements, problems, and opportunities, seeking effective business solutions through improvements in automated and non-automated components of new or changed processes. Assists in the analysis of stakeholder objectives, and the underlying issues arising from investigations into business requirements and problems and identifies options for consideration. Identifies potential benefits, and available options for consideration. Works with clients/users in defining acceptance tests. Business risk management: Carries out risk assessment within a defined functional or technical area of business. Uses consistent processes for identifying potential risk events, quantifying and documenting the probability of occurrence and the impact on the business. Refers to domain experts for guidance on specialized areas of risk, such as architecture and environment. Co-ordinates the development of countermeasures and contingency plans. Requirements Definition and Management: Facilitates scoping and business priority-setting for change initiatives of medium size and complexity. Contributes to selection of the most appropriate means of representing business requirements in the context of a specific change initiative, ensuring traceability back to source. Discovers and analyses requirements for fitness for purpose as well as adherence to business objectives and consistency, challenging positively as appropriate. Obtains formal agreement by stakeholders and recipients to scope and requirements and establishes a base-line on which delivery of a solution can commence. Manages requests for and the application of changes to base-lined requirements. Identifies the impact on business requirements of interim (e.g. migration) scenarios as well as the required end position. To Be Considered Click the Apply button and complete the online application process. A member of our recruiting team will review your application and follow up if you seem like a great fit for this role. In the meantime, please check out the careers website. And finally, the fine print…. For Kimberly-Clark to grow and prosper, we must be an inclusive organization that applies the diverse experiences and passions of its team members to brands that make life better for people all around the world. We actively seek to build a workforce that reflects the experiences of our consumers. When you bring your original thinking to Kimberly-Clark, you fuel the continued success of our enterprise. We are a committed equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation, gender identity, age, pregnancy, genetic information, citizenship status, or any other characteristic protected by law. The statements above are intended to describe the general nature and level of work performed by employees assigned to this classification. Statements are not intended to be construed as an exhaustive list of all duties, responsibilities and skills required for this position. Employment is subject to verification of pre-screening tests, which may include drug screening, background check, and DMV check. #LI-Hybrid .

About the Role: Grade Level (for internal use): 11 The Team : As a member of the EDO, Collection Platforms & AI – Cognitive Engineering team you will work on building GenAI-driven and ML-powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global. You will define AI strategy, mentor others, and drive production-ready AI products and pipelines while leading by example in a highly engaging work environment. You will work in a (truly) global team and be encouraged for thoughtful risk-taking and self-initiative. What’s in it for you: Be a part of a global company and build solutions at enterprise scale Lead and grow a highly skilled, hands-on technical team (including mentoring junior data scientists) Contribute to solving high-complexity, high-impact problems end-to-end Architect and oversee production-ready pipelines from ideation to deployment Responsibilities: Define AI roadmap, tooling choices, and best practices for model building, prompt engineering, fine-tuning, and vector retrieval systems Architect, develop and deploy large-scale ML and GenAI-powered products and pipelines Own all stages of the data science project lifecycle, including: Identification and scoping of high-value data science and AI opportunities Partnering with business leaders, domain experts, and end-users to gather requirements and align on success metrics Evaluation, interpretation, and communication of results to executive stakeholders Lead exploratory data analysis, proof-of-concepts, model benchmarking, and validation experiments for both ML and GenAI approaches Establish and enforce coding standards, perform code reviews, and optimize data science workflows Drive deployment, monitoring, and scaling strategies for models in production (including both ML and GenAI services) Mentor and guide junior data scientists; foster a culture of continuous learning and innovation Manage stakeholders across functions to ensure alignment and timely delivery Technical Requirements: Hands-on experience with large language models (e.g., OpenAI, Anthropic, Llama), prompt engineering, fine-tuning/customization, and embedding-based retrieval Expert proficiency in Python (NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF 2, Hugging Face Transformers) Deep understanding of ML & Deep Learning models, including architectures for NLP (e.g., transformers), GNNs, and multimodal systems Strong grasp of statistics, probability, and the mathematics underpinning modern AI Ability to surf and synthesize current AI/ML research, with a track record of applying new methods in production Proven experience on at least one end-to-end GenAI or advanced NLP project: custom NER, table extraction via LLMs, Q&A systems, summarization pipelines, OCR integrations, or GNN solutions Familiarity with orchestration and deployment tools: Airflow, Redis, Flask/Django/FastAPI, SQL, R-Shiny/Dash/Streamlit Openness to evaluate and adopt emerging technologies and programming languages as needed Good to have: Master’s or Ph.D. in Computer Science, Statistics, Mathematics, or related field (minimum Bachelor’s) 6+ years of relevant experience in Data Science/AI, with at least 2 years in a leadership or technical lead role Prior experience in the Economics/Financial industry, especially with market-intelligence or risk analytics products Public contributions or demos on GitHub, Kaggle, StackOverflow, technical blogs, or publications What’s In It For You? Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here . ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----------------------------------------------------------- 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 317408 Posted On: 2025-07-06 Location: Gurgaon, Haryana, India

About The Role Grade Level (for internal use): 11 The Team : As a member of the EDO, Collection Platforms & AI – Cognitive Engineering team you will work on building GenAI-driven and ML-powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global. You will define AI strategy, mentor others, and drive production-ready AI products and pipelines while leading by example in a highly engaging work environment. You will work in a (truly) global team and be encouraged for thoughtful risk-taking and self-initiative. What’s In It For You Be a part of a global company and build solutions at enterprise scale Lead and grow a highly skilled, hands-on technical team (including mentoring junior data scientists) Contribute to solving high-complexity, high-impact problems end-to-end Architect and oversee production-ready pipelines from ideation to deployment Responsibilities Define AI roadmap, tooling choices, and best practices for model building, prompt engineering, fine-tuning, and vector retrieval systems Architect, develop and deploy large-scale ML and GenAI-powered products and pipelines Own all stages of the data science project lifecycle, including: Identification and scoping of high-value data science and AI opportunities Partnering with business leaders, domain experts, and end-users to gather requirements and align on success metrics Evaluation, interpretation, and communication of results to executive stakeholders Lead exploratory data analysis, proof-of-concepts, model benchmarking, and validation experiments for both ML and GenAI approaches Establish and enforce coding standards, perform code reviews, and optimize data science workflows Drive deployment, monitoring, and scaling strategies for models in production (including both ML and GenAI services) Mentor and guide junior data scientists; foster a culture of continuous learning and innovation Manage stakeholders across functions to ensure alignment and timely delivery Technical Requirements Hands-on experience with large language models (e.g., OpenAI, Anthropic, Llama), prompt engineering, fine-tuning/customization, and embedding-based retrieval Expert proficiency in Python (NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF 2, Hugging Face Transformers) Deep understanding of ML & Deep Learning models, including architectures for NLP (e.g., transformers), GNNs, and multimodal systems Strong grasp of statistics, probability, and the mathematics underpinning modern AI Ability to surf and synthesize current AI/ML research, with a track record of applying new methods in production Proven experience on at least one end-to-end GenAI or advanced NLP project: custom NER, table extraction via LLMs, Q&A systems, summarization pipelines, OCR integrations, or GNN solutions Familiarity with orchestration and deployment tools: Airflow, Redis, Flask/Django/FastAPI, SQL, R-Shiny/Dash/Streamlit Openness to evaluate and adopt emerging technologies and programming languages as needed Good To Have Master’s or Ph.D. in Computer Science, Statistics, Mathematics, or related field (minimum Bachelor’s) 6+ years of relevant experience in Data Science/AI, with at least 2 years in a leadership or technical lead role Prior experience in the Economics/Financial industry, especially with market-intelligence or risk analytics products Public contributions or demos on GitHub, Kaggle, StackOverflow, technical blogs, or publications What’s In It For You? Our Purpose Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our Benefits Include Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring And Opportunity At S&P Global At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 317404 Posted On: 2025-07-06 Location: Gurgaon, Haryana, India

About The Role Grade Level (for internal use): 11 The Team : As a member of the EDO, Collection Platforms & AI – Cognitive Engineering team you will work on building GenAI-driven and ML-powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global. You will define AI strategy, mentor others, and drive production-ready AI products and pipelines while leading by example in a highly engaging work environment. You will work in a (truly) global team and be encouraged for thoughtful risk-taking and self-initiative. What’s In It For You Be a part of a global company and build solutions at enterprise scale Lead and grow a highly skilled, hands-on technical team (including mentoring junior data scientists) Contribute to solving high-complexity, high-impact problems end-to-end Architect and oversee production-ready pipelines from ideation to deployment Responsibilities Define AI roadmap, tooling choices, and best practices for model building, prompt engineering, fine-tuning, and vector retrieval systems Architect, develop and deploy large-scale ML and GenAI-powered products and pipelines Own all stages of the data science project lifecycle, including: Identification and scoping of high-value data science and AI opportunities Partnering with business leaders, domain experts, and end-users to gather requirements and align on success metrics Evaluation, interpretation, and communication of results to executive stakeholders Lead exploratory data analysis, proof-of-concepts, model benchmarking, and validation experiments for both ML and GenAI approaches Establish and enforce coding standards, perform code reviews, and optimize data science workflows Drive deployment, monitoring, and scaling strategies for models in production (including both ML and GenAI services) Mentor and guide junior data scientists; foster a culture of continuous learning and innovation Manage stakeholders across functions to ensure alignment and timely delivery Technical Requirements Hands-on experience with large language models (e.g., OpenAI, Anthropic, Llama), prompt engineering, fine-tuning/customization, and embedding-based retrieval Expert proficiency in Python (NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF 2, Hugging Face Transformers) Deep understanding of ML & Deep Learning models, including architectures for NLP (e.g., transformers), GNNs, and multimodal systems Strong grasp of statistics, probability, and the mathematics underpinning modern AI Ability to surf and synthesize current AI/ML research, with a track record of applying new methods in production Proven experience on at least one end-to-end GenAI or advanced NLP project: custom NER, table extraction via LLMs, Q&A systems, summarization pipelines, OCR integrations, or GNN solutions Familiarity with orchestration and deployment tools: Airflow, Redis, Flask/Django/FastAPI, SQL, R-Shiny/Dash/Streamlit Openness to evaluate and adopt emerging technologies and programming languages as needed Good To Have Master’s or Ph.D. in Computer Science, Statistics, Mathematics, or related field (minimum Bachelor’s) 6+ years of relevant experience in Data Science/AI, with at least 2 years in a leadership or technical lead role Prior experience in the Economics/Financial industry, especially with market-intelligence or risk analytics products Public contributions or demos on GitHub, Kaggle, StackOverflow, technical blogs, or publications What’s In It For You? Our Purpose Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our Benefits Include Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring And Opportunity At S&P Global At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 317405 Posted On: 2025-07-06 Location: Gurgaon, Haryana, India