Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft’s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers’ heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. The Defender Experts (DEX) Research team is at the forefront of Microsoft’s threat protection strategy, combining world-class hunting expertise with AI-driven analytics to protect customers from advanced cyberattacks. Our mission is to move protection left—disrupting threats early, before damage occurs—by transforming raw signals into intelligence that powers detection, disruption, and customer trust. We’re looking for a passionate and curious Data Scientist to join this high-impact team. In this role, you'll partner with researchers, hunters, and detection engineers to explore attacker behavior, operationalize entity graphs, and develop statistical and ML-driven models that enhance DEX’s detection efficacy. Your work will directly feed into real-time protections used by thousands of enterprises and shape the future of Microsoft Security. This is an opportunity to work on problems that matter—with cutting-edge data, a highly collaborative team, and the scale of Microsoft behind you. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Understand complex cybersecurity and business problems, translate them into well-defined data science problems, and build scalable solutions. Design and build robust, large-scale graph structures to model security entities, behaviors, and relationships. Develop and deploy scalable, production-grade AI/ML systems and intelligent agents for real-time threat detection, classification, and response. Collaborate closely with Security Research teams to integrate domain knowledge into data science workflows and enrich model development. Drive end-to-end ML lifecycle: from data ingestion and feature engineering to model development, evaluation, and deployment. Work with large-scale graph data: create, query, and process it efficiently to extract insights and power models. Lead initiatives involving Graph ML, Generative AI, and agent-based systems, driving innovation across threat detection, risk propagation, and incident response. Collaborate closely with engineering and product teams to integrate solutions into production platforms. Mentor junior team members and contribute to strategic decisions around model architecture, evaluation, and deployment. Qualifications Bachelor’s or Master’s degree in Computer Science, Statistics, Applied Mathematics, Data Science, or a related quantitative field 6+ years of experience applying data science or machine learning in a real-world setting, preferably in security, fraud, risk, or anomaly detection Proficiency in Python and/or R, with hands-on experience in data manipulation (e.g., Pandas, NumPy), modeling (e.g., scikit-learn, XGBoost), and visualization (e.g., matplotlib, seaborn) Strong foundation in statistics, probability, and applied machine learning techniques Experience working with large-scale datasets, telemetry, or graph-structured data Ability to clearly communicate technical insights and influence cross-disciplinary teams Demonstrated ability to work independently, take ownership of problems, and drive solutions end-to-end Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations. Show more Show less

🔹 Position: Senior Data Analyst 📍 Location: Trivandrum / Kochi / Remote 🕒 Experience: 5+ Years ⏳ Notice Period: Immediate Joiners Only 🛠️ Mandatory Skills: SQL, Power BI, Python, Amazon Athena 🔎 Job Purpose We are seeking an experienced and analytical Senior Data Analyst to join our Data & Analytics team. The ideal candidate will have a strong background in data analysis, visualization, and stakeholder communication. You will be responsible for turning data into actionable insights that help shape strategic and operational decisions across the organization. 📝 Job Description / Duties & Responsibilities Collaborate with business stakeholders to understand data needs and translate them into analytical requirements. Analyze large datasets to uncover trends, patterns, and actionable insights. Design and build dashboards and reports using Power BI. Perform ad-hoc analysis and develop data-driven narratives to support decision-making. Ensure data accuracy, consistency, and integrity through data validation and quality checks. Build and maintain SQL queries, views, and data models for reporting purposes. Communicate findings clearly through presentations, visualizations, and written summaries. Partner with data engineers and architects to improve data pipelines and architecture. Contribute to the definition of KPIs, metrics, and data governance standards. 📌 Job Specification / Skills and Competencies Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science, Economics, or a related field. 5+ years of experience in a data analyst or business intelligence role. Advanced proficiency in SQL and experience working with relational databases (e.g. SQL Server, Redshift, Snowflake). Hands-on experience in Power BI. Proficiency in Python, Excel and data storytelling. Understanding of data modelling, ETL concepts, and basic data architecture. Strong analytical thinking and problem-solving skills. Excellent communication and stakeholder management skills To adhere to the Information Security Management policies and procedures. 📌 Soft Skills Required Must be a good team player with good communication skills Must have good presentation skills Must be a pro-active problem solver and a leader by self Manage & nurture a team of data engineers Show more Show less

Company Description SakshamGram Credit Pvt. Ltd. operates as a Business Correspondent for Banks and Non-Banking Financial Companies (NBFCs), facilitating the acquisition and servicing of Small Business Loans and MicroBanking customers through a hybrid physical and digital approach. The company utilizes 100% Digital Acquisition methods and employs a Phygital mode for repayments. Role Description This is a full-time Data Analyst role, located on-site in Madhubani. The Data Analyst will be responsible for analyzing and interpreting complex data sets to support decision-making processes. The role involves data modeling, utilizing statistical methods, and producing comprehensive reports to highlight trends and insights. Effective communication of findings to various stakeholders is also a key part of the day-to-day tasks. Qualifications Strong Analytical Skills and proficiency in Data Analytics Experience with Statistics and Data Modeling Excellent Communication skills Attention to detail and ability to work with large data sets Bachelor's degree in Data Science, Statistics, Mathematics, or a related field Knowledge of financial industry practices is a plus Show more Show less

You Lead the Way. We’ve Got Your Back. With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally. At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong. The GRC Platforms and capabilities team within GRC is responsible for building and implementing innovative technology solutions for risk management. We are seeking a Product Manager to become part of our global team. Job Description This position is in the GRC Data Management team within Global Risk and Compliance Line of Business. The Product Owner position will provide day to day strategic support and function as the primary point of contact owning the vision and roadmap of BAU data capabilities and platforms and the modernization efforts. Focus would be on new product development, risk management initiatives, process control and improvement and end user experience. This is a highly visible and strategic position within the company. Responsibilities: Partner with teams across organization to translate initiatives into actionable product features and user stories as per defined roadmap. Identify product solutions for short term tactical needs and long-term strategy. Deliver product & capabilities based on customer needs, competitive analysis and market and technology trends. Lead feature and user story definition sessions. Establish acceptance criteria, test strategy, and write user acceptance test cases. Lead scope prioritization sessions and backlog grooming. Maintain open communication channels with stakeholders, business partners, and technology partners. Support governance processes for assigned product(s). Understanding of UX/UI for the products . Bring External Perspective – Explore tools and platforms available within and outside org as options for effective solutioning Partner with contributing to Scope of product and capabilities · Participate/ Contribute for release planning · Analyzing trends, industry standards, and best practices to be employed in the offerings within and outside of organization Qualifications: 3+ years Data Management and/or Product Owner in building and launching products. Bachelor’s or master’s degree in information technology, Computer Science, Information security, Mathematics, Statistics, or any other relevant qualification Proven Track record of Product lifecycle Management, with specific application of Scaled Agile delivery. PO/PM certification is required Domain knowledge - check this information Knowledge of BFSI, GRC or compliance framework will be required. Ability to think abstractly and deal with ambiguous/under-defined problems. Ability to compile, summarize, communicate, and present findings to leadership. Good understanding of iterative development, and Agile principles. Ability to adjust quickly to shifting priorities, multiple demands, ambiguity, and rapid change. Excellent interpersonal skills with a focus to engage, influence, align and encourage partners and business partners across geographies to drive collaboration and alignment. Focus on understanding sophisticated business problem and analyze complex data to provide a simplified solution to business partners. We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations. Show more Show less

Role Summary: We are looking to hire a Data Analyst who will help our teams make data backed decisions by doing data analysis, KPI reporting and data visualization. To do well in this role you need a very fine eye for detail, experience as a data analyst, and deep understanding of the popular data analysis tools and techniques. Key Responsibilities: Interpret data, analyze results and provide ongoing reports. Develop analytics dashboards KPI reporting for different verticals Acquire data from primary or secondary data sources and maintain databases/data systems. Work with different departments on their data visualization and analysis needs Taking out meaningful insights from the data Desired Skill & Requirements Technical expertise regarding data models, database design development, data mining and segmentation techniques. Knowledge of statistics and experience using statistical packages for analysing datasets (Excel, Python, SQL, R). Strong analytical skills with the ability to collect, organize, analyse, and disseminate significant amounts of information with attention to detail and accuracy. Adept at queries, report writing and presenting findings. Good written and verbal communication skills. Experience on techniques like - A/B Testing, ANOVA, Probability Distributions, Regression Analysis Ability to work with large amounts of data Experience : 1 to 3 years of relevant experience in data analysis. Should have 2 years of experience in SQL. Product Company background and startup experience is a plus. Education : A full time Bachelors degree from a recognised university.

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems. Tech Ops Engineer Internship (Mumbai) Candidates should be interested in working in Mumbai for their full-time job after graduation. About the Role: Our technology operations internship is an intensive 10-week experience with our frontline technology teams that are responsible for managing, monitoring, and improving the real-time trading environment at Jump Trading. You will be working directly with our experienced systems and network engineers, gaining broad technical and operational knowledge across all aspects of the trading platform and technology stack. Our internship program is the primary way we identify top young system engineers for our Technology Operations teams, paving the path toward earning full-time opportunities at Jump. We are looking for bright and highly motivated individuals that want to grow their knowledge of systems and networking, understanding of modern trading at scale, and practical DevOps-based software engineering skills. What you'll do: The Tech Ops Intern will work with traders, operations, exchanges, and developers to optimize the trading environment and investigate and solve system issues. Build automation to manage and improve the production trading environment Proactively monitor the overall health and performance of the trading platform Work closely with our world-class technology organization to: Analyze and troubleshoot complex system, software, and networking infrastructure issues Design, implement and optimize network infrastructure for proprietary low latency trading applications at various data centers throughout the world Work closely with risk management and trading teams to coordinate changes and manage incidents Manage and assess operational risk of change control into the production environment Define and document process and procedure Other duties as assigned or needed Skills you'll need: Major in Computer Science/Engineering, Information Systems, or related technical field Experience working with Linux/UNIX OS including advanced commands and shell scripts Practical working knowledge of Python Understanding of networking concepts such as routing, multicast, ethernet A rigorous, detail-oriented approach to operations Ability to operate and communicate clearly under pressure Desire to work in a collaborative, team environment with a positive can-do attitude Reliable and predictable availability Show more Show less

Job Title: Data Scientist – Data and Artificial Intelligence Location: Hyderabad Job Type: Full-time Company Description Qylis is a leading provider of innovative IT solutions, specializing in Cloud, Data & AI, and Cyber Security. We help businesses unlock the full potential of these technologies to achieve their goals and gain a competitive edge. Our unique approach focuses on delivering value through bespoke solutions tailored to customer specific needs. We are driven by a customer-centric mindset and committed to delivering continuous value through intellectual property accelerators and automation. Our team of experts is passionate about technology and dedicated to making a positive impact. We foster an environment of growth and innovation, constantly pushing the boundaries to deliver exceptional results. Website: www.qylis.com, LinkedIn: www.linkedin.com/company/qylis Job Summary We are an engineering organization collaborating directly with clients to address challenges using the latest technologies. Our focus is on joint code development with clients' engineers for cloud-based solutions, accelerating organizational progress. Working with product teams, partners, and open-source communities, we contribute to open source, striving for platform improvement. This role involves creating impactful solution patterns and open-source assets. As a team member, you'll collaborate with engineers from both teams, applying your skills and creativity to solve complex challenges and contribute to open source, while fostering professional growth. Responsibilities Researching and developing production-grade models (forecasting, anomaly detection, optimization, clustering, etc.) for global cloud business by using statistical and machine learning techniques. Manage large volumes of data, and create new and improved solutions for data collection, management, analyses, and data science model development. Drive the onboarding of new data and the refinement of existing data sources through feature engineering and feature selection. Apply statistical concepts and cutting-edge machine learning techniques to analyze cloud demand and optimize data science model code for distributed computing platforms and task automation. Work closely with other data scientists and data engineers to deploy models that drive cloud infrastructure capacity planning. Present analytical findings and business insights to project managers, stakeholders, and senior leadership and keep abreast of new statistical / machine learning techniques and implement them as appropriate to improve predictive performance. Oversees the analysis of data and leads the team in identifying trends, patterns, correlations, and insights to develop new forecasting models and improve existing models. Leads collaboration among team and leverages data to identify pockets of opportunity to apply state-of-the-art algorithms to improve a solution to a business problem. Consistently leverages knowledge of techniques to optimize analysis using algorithms. Modifies statistical analysis tools for evaluating Machine Learning models. Solves deep and challenging problems for circumstances such as when model predictions are not correct, when models do not match the training data or the design outcomes when the data is not clean when it is unclear which analyses to run, and when the process is ambiguous. Provides coaching to team members on business context, interpretation, and the implications of findings. Interprets findings and their implications for multiple businesses, and champions methodological rigour by calling attention to the limitations of knowledge wherever biases in data, methods, and analysis exist. Generates and leverages insights that inform future studies and reframe the research agenda. Informs both current business decisions by implementing and adapting supply-chain strategies through complex business intelligence. Qualifications M.Sc. in Statistics, Applied Mathematics, Applied Economics, Computer Science or Engineering, Data Science, Operations Research or similar applied quantitative field 7+ years of industry experience in developing production-grade statistical and machine learning code in a collaborative team environment. Prior experience in machine learning using R or Python (scikit / numpy / pandas / statsmodel). Prior experience working on Computer Vision Project is an Add on Knowledge on AWS and Azure Cloud. Prior experience in time series forecasting. Prior experience with typical data management systems and tools such as SQL. Knowledge and ability to work within a large-scale computing or big data context, and hands-on experience with Hadoop, Spark, DataBricks or similar. Excellent analytical skills; ability to understand business needs and translate them into technical solutions, including analysis specifications and models. Experience in machine learning using R or Python (scikit / numpy / pandas / statsmodel) with skill level at or near fluency. Experience with deep learning models (e.g., tensorflow, PyTorch, CNTK) and solid knowledge of theory and practice. Practical and professional experience contributing to and maintaining a large code base with code versioning systems such as Git. Creative thinking skills with emphasis on developing innovative methods to solve hard problems under ambiguity. Good interpersonal and communication (verbal and written) skills, including the ability to write concise and accurate technical documentation and communicate technical ideas to non-technical audiences. Skills:- Python, FastAPI, Large Language Models (LLM) tuning and MySQL Show more Show less

Tuido is seeking dedicated and enthusiastic tutors in Mathematics and Science to become part of our growing academic support team. As a tutor at Tuido, you will play a vital role in shaping the educational journey of students from Classes 3 to 10 by fostering strong conceptual understanding, supporting homework completion, and promoting academic excellence. Role & responsibilities Subject Instruction: Deliver in-depth tutoring in Math , English , Science & Telugu helping students improve their understanding of key concepts. Lesson Planning: Develop customized lesson plans based on each students academic needs. Homework Assistance: Help students complete their homework on time. Exam Preparation: Prepare students for school exams with review sessions, mock tests, and share personalized feedback. Progress Tracking: Monitor student performance and communicate progress to parents. Student Engagement: Foster an engaging and supportive learning environment where students feel confident to ask questions and tackle challenges. Skill Development: Encourage critical thinking and problem-solving skills beyond standard textbook material. Qualifications : Proficient in one or more subjects across Classes 3 to 10. across CBSE, SSC, and ICSE boards. Minimum of 2 years experience in tutoring or formal teaching. Bachelors degree in Science, Mathematics or a related discipline. Strong communication, interpersonal, and instructional skills. A genuine passion for teaching and commitment to student success. If Interested Share me your Updated resume on: Sruthigupta@texasreview.in Or Connect 7989428609(Sruthi) Regards: Sruthi-HR

Company: Marsh Description: WAS Investments WAS - Investments is seeking candidates for the following position based in the ASF office Level B2 (Senior Analyst) What can you expect We are looking to hire a Senior Analyst in the European Performance Reporting Team (EPRT) The role will be responsible for working closely with the Investment Consultants, to deliver comprehensive and accurate performance reports for pension clients and related support functions. This role will support analysis and research at every stage of the investment decision, risk management and investment monitoring process portfolio of clients. The role will focus on various aspects of institutional investing, including data collection and analysis, investment strategies research, performance reporting and related investment consulting support functions. The incumbent in this role should have an understanding of the Global Capital Markets and working knowledge of various Asset Classes and Investment Strategies. What is in it for you Opportunity to be a part of worlds leading insurance broker and risk management company with client in over 130 countries with over 80,000 people Commitment to Diversity and Inclusion, Corporate Social Responsibility, and Sustainability A competitive salary, employee friendly policies, health care and insurance for you and dependents A respectful work environment that values healthy work-life balance Future career opportunities across a global organization to perform and grow Chance to be a part of a dynamic work culture that rewards innovation and collaboration Curated training programs with enhancing skills and building knowledge opportunity We will count on you for: Daily work management and execution of performance reporting operations activities Measuring Performance of investments and asset classes Communicate with investment and money managers and custodians to gather and/or clarify client specific data for reporting Reviewing work of Analysts and providing them guidance Ensuring compliance with all internal and client policies Driving Process Improvements Providing timely updates to AM/TM and other stakeholders What you need to have: Ability to work as part of a team and build strong working relationships with peers Experience in analyzing investment portfolios or researching investment managers located outside of India Preparing Investment Performance reports covering Asset Allocation, holdings and Portfolio Performance Produce periodic (monthly / quarterly) portfolio performance reports for Advisory, Delegated Solutions and Mercer Workplace Saving (MWS) clients. Computations of returns (money weighted / time weighted) for Defined Benefit , Not for profit and Additional Voluntary Contributions clients Exposure to Global Capital Markets and working knowledge of various Asset Classes and Investment Strategies and performance attribution Good command on MS Office applications (MS-Excel, MS-Word, PowerPoint) Problem solving skills and attention to detail Ability to multitask, manage multiple priorities and work in a rapidly changing and dynamic environment, ensuring standards and deadlines are met and keeping others informed and up-to-date Strong verbal and written communication and analytical skills Ability to work and perform under strict deadlines and quick turnaround projects What you need to have: Minimum 1-2 years experience overall Graduate (B.com, BBA or equivalent). However, Master's Degree in finance (in addition to accounting, economics or mathematics) and progress towards CFA and CIPM will be preferred Excellent Word, Advanced Excel and PowerPoint skills Exceptional communication skills, both verbal and written Ability to meet deadlines and a real desire to achieve results Ability to build rapport and respond confidently to customer queries What makes you stand out Adaptable communicator, facilitator, influencer and problem solver High attention to detail Good relationship skills, Proven ability to work on own initiative as well as in a team Ability to multi-task and prioritize time effectively Ability to perform under pressure and strict timelines About Mercer At Mercer, we are a global force of around 25000+ unique individuals working together to make a difference in the lives of more than 115 million people every day by advancing their health, wealth and careers. Were in the business of creating more secure and rewarding futures for our clients and their employees For more than 80 years, weve turned our insights into actions; Be it designing affordable health plans, or assuring income for retirement, or aligning workers with workforce needs, weve been united in our mission of enabling people around the globe to live, work, and retire well. Exposure to coding and automation using VBA codes, Python, R etc. and visualization tools such as Power BI, Tableau etc. Mercer, a business of Marsh McLennan (NYSEMMC), is a global leader in helping clients realize their investment objectives, shape the future of work and enhance health and retirement outcomes for their people. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businessesMarsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit mercer.com, or follow on LinkedIn and X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one anchor day per week on which their full team will be together in person.

Develop plans and strategies for developing business and achieving the company's sales goals Manage operations and resources to deliver profitable growth Define sales processes that drive desired sales outcomes and identify improvements where and when required Operate the assigned sales territory/market segment to meet sales & service requirements and expectations within the budgeted norms To establish, develop and maintain business relationships with current customers and prospective customers in the assigned territory/market segment to generate new business for the organization's products/services To plan and oversee the execution of local area promotional activities in both sales and service To devise strategies for effective and real-time market intelligence to stay ahead of competition To come out with innovative and cost-effective marketing ideas to stay always on top Provide detailed and accurate sales forecasting Compile information and data related to customer and prospect interactions Monitor customer, market and competitor activity and provide feedback to company leadership team and other company functions Oversee the assigned sales department to ensure proper maintenance of all sales systems and functions To strictly adhere to systems, procedures, credit policies, and discount structures laid by the company from time to time Ensure proper sales documentation Create a culture of success and ongoing business and goal achievement Manage the use of budgets To keep the outstanding amount in check Define optimal sales force structure Manage customer expectations and contribute to a high level of customer satisfaction Manage key customer relationships and participate in closing strategic opportunities Travel- for in-person meetings with customers and partners and to develop key relationships Skills:- Communication Skills, Presentation Skills, Interpersonal Skills, Negotiation, Mathematics and Statistical Analysis Show more Show less

The Purpose of the role We are seeking a full stack data scientist in Advanced Analytics team, who will be at the forefront of developing new innovative data driven solutions with bleeding edge machine learning and AI solution end to end. AIML Data Scientist is a technical job that uses AI & machine learning techniques to automate underwriting processes, improve claims outcomes and/or risk solutions. This person will develop vibrant data science solutions which require data engineering, AlML algorithms and Ops engineering skills to develop and deploy it for the business. Ideal candidate for this role is someone with a strong education in computer science, data science, statistics, applied math or a related field, and who is eager to tackle problems with innovative thinking without compromising detail business insights. You are adept at solving diverse problems by utilizing a variety of different tools, strategies, machine learning techniques, algorithms and programming languages. Responsibilities Work with business partners globally, determine analyses to be performed, manage deliverables against timelines, present of results and implement the model. Use broad spectrum of Machine Learning, text and image AI models to extract impactful features from structured/unstructured data. Develop and implement models that help with automating, getting insights, make smart decisions; Ensure that the model is able to meet the desired KPIs post-production. Develop and deploy scalable and efficient machine learning models. Package and publish codes and solutions in reusable format python package format- (Pypi, Scikit-learn pipeline,..) Keep the code ready for seamless building of CI/CD pipelines and workflows for machine learning applications. Ensure high quality code that meets business objectives, quality standards and secure web development guidelines. Building reusable tools to streamline the modeling pipeline and sharing knowledge Build real-time monitoring and alerting systems for machine learning systems. Develop and maintain automated testing and validation infrastructure. Troubleshoot pipelines across multiple touchpoints like CI Server, Artifact storage and Deployment cluster. Implement best practices for versioning, monitoring and reusability. Requirements Sound understanding of ML concepts, Supervised / Unsupervised Learning, Ensemble Techniques, Hyperparameter Good knowledge of Random Forest, XGBoost, SVM, Clustering, building data pipelines in Azure/Databricks, deep learning models, OpenCV, Bert and new transformer models for NLU, LLM application in ML> Strong experience with Azure cloud computing and containerization technologies (like Docker, Kubernetes). 4-6 years of experience in delivery end to end data science models. Experience with Python/OOPs programming languages and data science frameworks like (Pandas, Numpy, TensorFlow, Keras, PyTorch, sklearn). Knowledge of DevOps tools such as Git, Jenkins, Sonar, Nexus is must. Building python wheels and debugging build process. Data pipeline building and debugging (by creating and following log traces). Basic knowledge of DevOps practices. Concepts of Unit Testing and Test-Driven development. SDE skills like OOP and Functional programming are an added advantage. Experience with Databricks and its ecosystem is an added advantage. analytics/statistics/mathematics or related domain. Show more Show less

Role & responsibilities Curriculum Planning and Delivery: Planning and delivering comprehensive lessons in accordance with the school curriculum and educational standards, ensuring alignment with subject-specific learning objectives and pedagogical approaches. Employing innovative teaching methodologies, instructional strategies, and learning activities to engage students, promote active participation, and facilitate meaningful learning experiences. Subject-Specific Instruction: Providing subject-specific instruction in the assigned subject area(s), such as English, Mathematics, Science, Social Studies, or others, tailored to the grade level and learning needs of students. Integrating interdisciplinary connections, real-world applications, and experiential learning opportunities into subject-based lessons to enhance student understanding and retention of key concepts. Assessment and Evaluation: Designing and administering formative and summative assessments to evaluate student learning outcomes, monitor academic progress, and provide timely feedback on student performance. Analyzing assessment data, identifying areas for improvement, and implementing differentiated instructional strategies and interventions to support student growth and achievement. Classroom Management: Establishing and maintaining a positive and inclusive classroom environment conducive to learning, characterized by clear expectations, mutual respect, and a culture of collaboration and responsibility. Implementing effective classroom management strategies, behavior interventions, and conflict resolution techniques to address student behavior issues and maintain a productive learning environment. Parent Communication and Collaboration: Establishing open and proactive communication channels with parents or guardians to share information about students' academic progress, achievements, and areas for improvement. Collaborating with parents to address individual student needs, develop academic goals, and foster a supportive home-school partnership that promotes student success and well-being. Professional Development and Growth: Engaging in ongoing professional development activities, such as workshops, seminars, conferences, and subject-specific training sessions, to enhance subject knowledge, pedagogical skills, and instructional effectiveness. Reflecting on teaching practice, soliciting feedback from colleagues and supervisors, and actively seeking opportunities for continuous improvement and professional growth as a teacher. Administrative Duties: Maintain accurate records of student attendance, grades, and academic performance. Participate in parent-teacher meetings and communicate with parents/guardians regarding student progress. Assist in the organization and supervision of school events, trips, and activities. Personal and Professional Attributes: Strong subject knowledge and expertise in the relevant field. Excellent communication and interpersonal skills. Ability to work collaboratively in a team environment. Patience, empathy, and a genuine interest in student welfare and development. Adaptability and willingness to take on additional responsibilities as needed. Miscellaneous Tasks: Extracurricular Involvement: Participating in extracurricular activities, clubs, sports teams, or student organizations as a faculty advisor, coach, or mentor to support students' holistic development and foster a sense of community and school spirit. Student Support and Guidance: Providing academic, social, and emotional support to students through individualized instruction, mentoring, counseling, and guidance on study skills, time management, and goal setting. Collaborating with school counselors, learning support specialists, and administrators to address student needs, concerns, and challenges effectively and promote student well-being. Collaborative Planning and Teamwork: Collaborating with grade-level teams, subject departments, and interdisciplinary groups to plan and coordinate curriculum pacing, instructional strategies, assessment practices, and student support initiatives. Participating in faculty meetings, professional learning communities (PLCs), and curriculum review committees to share best practices, align instructional goals, and enhance interdisciplinary connections.

Description GlobalLogic is looking for a skilled Data Analyst with 3–8 years of experience to support AI/ML data operations. The ideal candidate will have strong proficiency in SQL and Python, a solid understanding of data labeling metrics, and the ability to translate complex data into actionable insights. Excellent communication skills and a detail-oriented, self-starter mindset are essential. Requirements Bachelor’s degree in Statistics, Mathematics, Computer Science, Data Science, or a related field. 3–8 years of hands-on experience in data analysis, ideally within AI/ML or data labeling environments. Proficient in SQL and Python for data manipulation, analysis, and process automation. Solid understanding of data labeling workflows and evaluation metrics (e.g., accuracy, precision, recall, inter-rater agreement). Strong analytical and problem-solving skills with the ability to interpret large datasets and generate actionable insights. Excellent communication skills, capable of presenting findings to both technical and non-technical stakeholders. Job responsibilities Analyze large datasets (labeled & unlabeled) to identify trends, anomalies, and labeling patterns to improve model performance and operational efficiency. Design and maintain automated dashboards and reporting tools to track labeling quality, throughput, and trends. Work closely with Client leadership to understand data needs and deliver actionable insights for model optimization. Build and maintain scalable data pipelines for validation, aggregation, and visualization. Apply data mining techniques to assess annotation consistency and inter-rater reliability. Support AI data evaluation strategies through experimentation and iterative feedback. Collaborate with cross-functional teams to improve annotation workflows and ensure metrics alignment. What we offer Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally. Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what’s possible and bring new solutions to market. In the process, you’ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today. Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way! High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do. About GlobalLogic GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services. Show more Show less

Job Title Ind & Func AI Value Strategy Consultant- S&C GN Management Level :9 - Consultant Location:Bangalore / Hyderabad / Pune / Gurugram Must have skills: Generative AI, Data and AI Strategy, Business Value Case development Good to have skills: PowerBI, Machine Learning, Large Language Models (LLMs), Python, SQL Job Summary :As an AI Value Strategy Consultant, you will play a key role in designing, building, and implementing Data and AI Strategy and thought leadership to address business challenges across various industries. You will leverage Data, Generative AI, Machine Learning, and Large Language Models (LLMs) to drive innovation and deliver impactful insights for clients. Your work will involve collaborating with cross-functional teams, and contributing to the development of Data and AI solutioning. Key Responsibilities For large transformation deals, design robust data and AI strategy by discovering right business use cases, reinventing process design and optimizing the architecture. Define strategies to assess clients' current data and apply AI capabilities, developing roadmaps for the future using tools such as data diagnostics, data and AI maturity assessment, and business case development. Bring expertise to define and execute data and AI platform strategies for stakeholders, covering areas such as cloud computing, emerging data and AI platforms/ technologies/ trends, and ecosystem strategies. Design architecture and operating model blueprints including organizational design, delivery engagement models, and talent & learning roadmaps that enable seamless integration and scalability of AI solutions across the organization, ensuring alignment with business goals and technical requirements. Develop strategic roadmaps for the implementation of AI initiatives, outlining key milestones, dependencies, and timelines to ensure successful execution and alignment with business priorities. Provide thought leadership on emerging data and AI trends, patterns, and technologies, shaping proofs of capability and enabling clients to harness and adopt innovation in the data and AI domain. Collaborate with cross-functional teams to build compelling business cases for AI initiatives, conducting thorough cost-benefit analyses, ROI assessments, and risk evaluations to support decision-making and investment prioritization. Infuse Responsible AI in the core AI foundation and solution design, develop plan for leveraging ecosystem partners, and define operating model to foster a culture of innovation and experimentation. Additional Information Deep understanding of Generative AI, cloud computing, emerging data and AI platforms/technologies Strong understanding of data and AI platforms & technologies, architecture principles, operating models, and best practices, with hands-on experience in designing and implementing scalable AI solutions. Worked on data engineering, data analytics, data visualization and/or solutioning. Demonstrated ability to build compelling business cases for AI initiatives, with experience conducting cost-benefit analyses, ROI assessments, and risk evaluations. Excellent strategic thinking and problem-solving skills, with the ability to identify opportunities for AI-driven innovation and value creation in complex business environments. Exceptional communication and stakeholder management skills, with the ability to effectively collaborate with cross-functional teams and influence decision-making at all levels of the organization. About Our Company | Accenture Qualification Experience: Minimum 5+ years of experience in Data and AI space, preferably within a consulting environment Educational Qualification: Bachelors or Masters degree (BE/BTech/MBA) in Statistics, Computer Science, Mathematics, or related disciplines with an excellent academic record

What You’ll Do Work in a DevSecOps environment responsible for the building and running of large-scale, massively distributed, fault-tolerant systems. Work closely with development and operations teams to build highly available, cost effective systems with extremely high uptime metrics. Work with cloud operations team to resolve trouble tickets, develop and run scripts, and troubleshoot Create new tools and scripts designed for auto-remediation of incidents and establishing end-to-end monitoring and alerting on all critical aspects Build infrastructure as code (IAC) patterns that meet security and engineering standards using one or more technologies (Terraform, scripting with cloud CLI, and programming with cloud SDK). Participate in a team of first responders in a 24/7 environment, follow the sun operating model for incident and problem management What Experience You Need BS degree in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent job experience required 2-5 years of experience in software engineering, systems administration, database administration, and networking. 1+ years of experience developing and/or administering software in public cloud Experience in monitoring infrastructure and application uptime and availability to ensure functional and performance objectives. Experience in languages such as Python, Bash, Java, Go JavaScript and/or node.js Demonstrable cross-functional knowledge with systems, storage, networking, security and databases System administration skills, including automation and orchestration of Linux/Windows using Terraform, Chef, Ansible and/or containers (Docker, Kubernetes, etc.) Proficiency with continuous integration and continuous delivery tooling and practices Cloud Certification Strongly Preferred What Could Set You Apart Experience with GCP/GKE. Certifications in Kubernetes (CKA, CKAD) or cloud certification. Keywords: Site Reliability Engineer, SRE, Kubernetes, Google Cloud Platform, GCP, Cloud Infrastructure, DevOps, CI/CD, Monitoring, Linux, Automation, Terraform Show more Show less

Job Title Ind & Func AI Value Strategy Manager- S&C GN Management Level : 7 Manager Location: Bangalore / Hyderabad / Pune / Gurugram Must have skills :Generative AI, Data and AI Strategy, Business Value Case development Good to have skills: PowerBI, Machine Learning, Large Language Models (LLMs), Python, SQL Job Summary : As an AI Value Strategy Manager, you will play a key role in designing, building, and implementing Data and AI Strategy and thought leadership to address business challenges across various industries. You will leverage Data, Generative AI, Machine Learning, and Large Language Models (LLMs) to drive innovation and deliver impactful insights for clients. Your work will involve collaborating with cross-functional teams, and contributing to the development of Data and AI solutioning. Key Responsibilities For large transformation deals, design robust data and AI strategy by discovering right business use cases, reinventing process design and optimizing the architecture. Define strategies to assess clients' current data and apply AI capabilities, developing roadmaps for the future using tools such as data diagnostics, data and AI maturity assessment, and business case development. Bring expertise to define and execute data and AI platform strategies for stakeholders, covering areas such as cloud computing, emerging data and AI platforms/ technologies/ trends, and ecosystem strategies. Design architecture and operating model blueprints including organizational design, delivery engagement models, and talent & learning roadmaps that enable seamless integration and scalability of AI solutions across the organization, ensuring alignment with business goals and technical requirements. Develop strategic roadmaps for the implementation of AI initiatives, outlining key milestones, dependencies, and timelines to ensure successful execution and alignment with business priorities. Provide thought leadership on emerging data and AI trends, patterns, and technologies, shaping proofs of capability and enabling clients to harness and adopt innovation in the data and AI domain. Collaborate with cross-functional teams to build compelling business cases for AI initiatives, conducting thorough cost-benefit analyses, ROI assessments, and risk evaluations to support decision-making and investment prioritization. Infuse Responsible AI in the core AI foundation and solution design, develop plan for leveraging ecosystem partners, and define operating model to foster a culture of innovation and experimentation. Other skills Deep understanding of Generative AI, cloud computing, emerging data and AI platforms/technologies/trends Strong understanding of data and AI platforms & technologies, architecture principles, operating models, and best practices, with hands-on experience in designing and implementing scalable AI solutions. Demonstrated ability to build compelling business cases for AI initiatives, with experience conducting cost-benefit analyses, ROI assessments, and risk evaluations. Excellent strategic thinking and problem-solving skills, with the ability to identify opportunities for AI-driven innovation and value creation in complex business environments. Exceptional communication and stakeholder management skills, with the ability to effectively collaborate with cross-functional teams and influence decision-making at all levels of the organization. About Our Company | Accenture (do not remove the hyperlink) Qualification Experience: Minimum 10+ years of experience in Data and AI space, preferably within a consulting environment Educational Qualification: Bachelors or Masters degree (BE/BTech/MBA) in Statistics, Computer Science, Mathematics, or related disciplines with an excellent academic record

Achieving our goals starts with supporting yours. Grow your career, access top-tier health and wellness benefits, build lasting connections with your team and our customers, and travel the world using our extensive route network. Come join us to create what’s next. Let’s define tomorrow, together. Description United's Digital Technology team designs, develops, and maintains massively scaling technology solutions brought to life with innovative architectures, data analytics, and digital solutions. Our Values : At United Airlines, we believe that inclusion propels innovation and is the foundation of all that we do. Our Shared Purpose: "Connecting people. Uniting the world." drives us to be the best airline for our employees, customers, and everyone we serve, and we can only do that with a truly diverse and inclusive workforce. Our team spans the globe and is made up of diverse individuals all working together with cutting-edge technology to build the best airline in the history of aviation. With multiple employee-run "Business Resource Group" communities and world-class benefits like health insurance, parental leave, and space available travel, United is truly a one-of-a-kind place to work that will make you feel welcome and accepted. Come join our team and help us make a positive impact on the world. Job Overview And Responsibilities United Airlines is seeking talented people to join the Data Engineering team. Data Engineering organization is responsible for driving data driven insights & innovation to support the data needs for commercial and operational projects with a digital focus. You will work as a Senior Engineer - Machine Learning and collaborate with data scientists and data engineers to: Build high-performance, cloud-native machine learning infrastructure and services to enable rapid innovation across United Build complex data ingestion and transformation pipelines for batch and real-time data Support large scale model training and serving pipelines in distributed and scalable environment This position is offered on local terms and conditions within United’s wholly owned subsidiary United Airlines Business Services Pvt. Ltd. Expatriate assignments and sponsorship for employment visas, even on a time-limited visa status, will not be awarded This position is offered on local terms and conditions. Expatriate assignments and sponsorship for employment visas, even on a time-limited visa status, will not be awarded. United Airlines is an equal opportunity employer. United Airlines recruits, employs, trains, compensates, and promotes regardless of race, religion, color, national origin, gender identity, sexual orientation, physical ability, age, veteran status, and other protected status as required by applicable law. Qualifications Required BS/BA, in Advanced Computer Science, Data Science, Engineering or related discipline or Mathematics experience required Strong software engineering experience with Python and at least one additional language such as Go, Java, or C/C++ Familiarity with ML methodologies and frameworks (e.g., PyTorch, Tensorflow) and preferably building and deploying production ML pipelines Experience developing cloud-native solutions with Docker and Kubernetes Cloud-native DevOps, CI/CD experience using tools such as Jenkins or AWS CodePipeline; preferably experience with GitOps using tools such as ArgoCD, Flux, or Jenkins X Experience building real-time and event-driven stream processing pipelines with technologies such as Kafka, Flink, and Spark Experience setting up and optimizing data stores (RDBMS/NoSQL) for production use in the ML app context Strong desire to stay aligned with the latest developments in cloud-native and ML ops/engineering and to experiment with and learn new technologies Experience 3 + years of software engineering experience with languages such as Python, Go, Java, Scala, Kotlin, or C/C++ 2 + years of experience working in cloud environments (AWS preferred) 2 + years of experience with Big Data technologies such as Spark, Flink 2 + years of experience with cloud-native DevOps, CI/CD At least one year of experience with Docker and Kubernetes in a production environment Must be legally authorized to work in India for any employer without sponsorship Must be fluent in English and Hindi (written and spoken) Successful completion of interview required to meet job qualification Reliable, punctual attendance is an essential function of the position Preferred Masters in computer science or related STEM field GGN00001744 Show more Show less

Job Description Who We Are At Goldman Sachs, we connect people, capital and ideas to help solve problems for our clients. We are a leading global financial services firm providing investment banking, securities and investment management services to a substantial and diversified client base that includes corporations, financial institutions, governments and individuals. Role Responsibilities Automate pricing of ETFs, providing fast and accurate prices in response to quote requests from our clients. Implement automated hedging algorithms, and build frameworks to manage risk centrally across asset classes. Perform systematic and quantitative analysis of franchise flows and market data, driving business decisions and the design of our automation platform. Work closely with sales and trading, support our automated pricing and trading systems. Be involved with all stages of the software development life cycle with a range of technologies, and collaborate closely with engineering teams who support the underlying infrastructure and frameworks. Basic Qualifications Excellent academic record in a relevant quantitative field such as physics, mathematics, statistics, engineering or computer science. Strong analytics stills with experience in quantitative modelling and data analytics. At least 3 years’ experience. Strong programming skills in an object oriented or functional paradigm, with particular strength in Java, Python and its core concepts. Self-starter who can work with minimum guidance, ability to manage multiple priorities and work in a high-pressure environment. Excellent written and verbal communication skills. Preferred Qualifications Experience implementing data-driven, streaming market making models, working with large scale timeseries and dimensional data. Previous quantitative or technical role working on or with a derivatives market making desk (irrespective of asset class), Knowledge of building automated trading systems and researching signals for use in a live trading environment. Experience with machine learning is a plus. Experience with real-time systems/messaging infrastructures Familiarity with build/deployment/runtime tools e.g. Gradle, Maven, Git, Spring, Kubernetes Goldman Sachs Engineering Culture At Goldman Sachs, our Engineers don’t just make things – we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets. Engineering is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Start here! © The Goldman Sachs Group, Inc., 2025. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity. Show more Show less

Requirements Minimum of 2-3 years of FullStack Software Development experience in building large-scale mission-critical applications. Strong foundation in computer science, with strong competencies in data structures, algorithms, and software design optimized for building highly distributed and parallelized systems. Proficiency in one or more programming languages - Java and Python. Strong hands-on experience in MEAN, MERN, Core Java, J2EE technologies, Microservices, Spring, Hibernate, SQL, REST APIs. Experience in web development using one of the technologies, like Angular or React, etc. Experience with one or more of the following database technologies: SQL Server, Postgres, MySQL, and NoSQL such as HBase, MongoDB, and DynamoDB. Strong problem-solving skills to deep dive, brainstorm, and choose the best solution approach. Experience with AWS Services like EKS, ECS, S3 EC2 RDS, Redshift, and Github/Stash, CI/CD Pipelines, Maven, Jenkins, Security Tools, Kubernetes/VMs/Linux, Monitoring, Alerting, etc. Experience in Agile development is a big plus. Excellent presentation, collaboration, and communication skills required. Result-oriented and experienced in leading broad initiatives and teams. Knowledge of Big Data technologies like Hadoop and Hive, Spark, Kafka, etc. would be an added advantage. Bachelor's or Master's degree in mathematics, Computer Science. 1-4 years of experience as a FullStackEngineer. Proven analytic skills and designing scalable applications. This job was posted by Vivek Chhikara from Protium. Show more Show less

Assistant Vice President level role to join our Analytics & Data organization as part of the Key Platform & Data Solutions function. The candidate will be responsible for the ongoing support, analysis and reporting on key business data metrics for the management and stakeholders, collaborating to help determine timely solutions and providing actionable insights. Key Responsibilities Key responsibilities will include, but will not be limited to the following: > Work in a fun, fast-paced environment designing, building, and optimizing analytics solutions that drive value for our clients. > Act as a key support resource for users of the Wealth Management Analytics Platform, assisting them with DataIKU, Tableau, and other tools to solve business problems. > Develop and maintain data pipelines and workflows in DataIKU, ensuring data quality and governance best practices are followed. > Leverage Snowflake, Azure, and Databricks to manage, integrate, and transform large datasets for analytics purposes. > Implement and maintain data security and access controls through Immuta in compliance with organizational policies. > Participate in Proof of Concepts (POCs) and evaluation of new analytics tools and technologies. > Collaborate with development teams to ensure features and functionality meet user needs and align with product vision. > Work closely with platform, technology, legal, and compliance teams to drive decisions across cross-functional groups. > Assist with defining critical user journeys, use cases, workflows, and business processes that align with the product vision and address critical user needs. > Support the prioritization of the product roadmap, including release planning and development of business requirements. > Help maintain a prioritized product backlog; identify, groom, and validate epics and user stories for agile sprints. > Contribute to backlog refinement and sprint planning ceremonies to communicate requirements effectively to the development team. > Teamwork skills - The candidate must be flexible in their work style and be able to work collaboratively with A&D team-members in Mumbai, NY/NJ, and Budapest. > Create documentation, enhance user experience, and drive user adoption. > Provide reporting support as needed. Experience > 3-5 years' experience in data-centric role (Overall ~6 years). > Bachelor's degree required. > Experience in Data & Analytics and/or Financial Services is a plus. Required Skills > Bachelor's degree in computer science, Information Systems, Statistics, Mathematics, or a related field. > Proven hands-on experience with DataIKU for building data pipelines and workflows. > Knowledge of Snowflake, Azure Data Services, and Databricks for cloud data warehousing and analytics. > Understanding of Immuta or similar data access control tools. > Solid understanding of data governance and data quality frameworks and best practices. > Experience working with SQL and large datasets. > Strong communication skills, with the ability to support and train users in a dynamic environment. > Familiarity with agile methodologies and experience contributing to backlog grooming and sprint planning. What You Can Expect From Morgan Stanley We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser. Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents. Show more Show less

Achieving our goals starts with supporting yours. Grow your career, access top-tier health and wellness benefits, build lasting connections with your team and our customers, and travel the world using our extensive route network. Come join us to create what’s next. Let’s define tomorrow, together. Description United's Digital Technology team designs, develops, and maintains massively scaling technology solutions brought to life with innovative architectures, data analytics, and digital solutions. Find your future at United! We’re reinventing what our industry looks like, and what an airline can be – from the planes we fly to the people who fly them. When you join us, you’re joining a global team of 100,000+ connected by a shared passion with a wide spectrum of experience and skills to lead the way forward. Achieving our ambitions starts with supporting yours. Evolve your career and find your next opportunity. Get the care you need with industry-leading health plans and best-in-class programs to support your emotional, physical, and financial wellness. Expand your horizons with travel across the world’s biggest route network. Connect outside your team through employee-led Business Resource Groups. Create what’s next with us. Let’s define tomorrow together. Job Overview And Responsibilities United Airlines is seeking talented people to join the Data and Machine Learning Engineering team. The organization is responsible for leading data driven insights & innovation to support the Machine Learning needs for commercial and operational projects with a digital focus. This role will frequently collaborate with data scientists and data engineers. This role will design and implement key components of the Machine Learning Platform, business use cases, and establish processes and best practices. This position is offered on local terms and conditions. Expatriate assignments and sponsorship for employment visas, even on a time-limited visa status, will not be awarded. United Airlines is an equal opportunity employer. United Airlines recruits, employs, trains, compensates, and promotes regardless of race, religion, color, national origin, gender identity, sexual orientation, physical ability, age, veteran status, and other protected status as required by applicable law. Build high-performance, cloud-native machine learning infrastructure and services to enable rapid innovation across United. Set up containers and Serverless platform with cloud infrastructure. You will design and develop tools and apps to enable ML automation using AWS ecosystem. Build data pipelines to enable ML models for batch and real-time data. Hands on development expertise of Spark and Flink for both real time and batch applications. Support large scale model training and serving pipelines in distributed and scalable environment. Stay aligned with the latest developments in cloud-native and ML ops/engineering and to experiment with and learn new technologies – NumPy, data science packages like sci-kit, microservices architecture. Optimize, fine-tune generative AI/LLM models to improve performance and accuracy and deploy them. Evaluate the performance of LLM models, Implement LLMOps processes to manage the end-to-ed lifecycle of large language models. Qualifications Required Bachelor's degree in compute Science, Data Science, Generative AI, Engineering or related discipline or Mathematics experience required 6+ years of software engineering experience with languages such as Python, Go, Java, Scala, Kotlin, or C/C++. 5+ years of experience in machine learning, deep learning, and natural language processing. 3+ years of experience working in cloud environments (AWS preferred) - Kubernetes, Dockers, ECS and EKS. 2+ years of experience with Big Data technologies such as Spark, Flink and SQLprogramming. 3+ years of experience with cloud-native DevOps, CI/CD. 1+ years of experience with Generative AI/LLMs. Strong software engineering experience with Python and at least one additional language such as Go, Java, or C/C++ Familiarity with data science methodologies and frameworks (e.g., PyTorch, Tensorflow) and preferably building and deploying production ML pipelines Experience in ML model life cycle development experience and prefer experience to common algorithms Preferred Master's degree Computer Science or related STEM field GGN00001926 Show more Show less

Job Title: AI/ML Engineer Location: Pune, India About the Role: We’re looking for highly analytical, technically strong Artificial Intelligence/Machine Learning Engineers to help build scalable, data-driven systems in the digital marketing space. You'll work alongside a top-tier team on impactful solutions affecting billions of users globally. Experience Required: 3 – 7 years Key Responsibilities: Collaborate across Data Science, Ops, and Engineering to tackle large-scale ML challenges. Build and manage robust ML pipelines (ETL, training, deployment) in real-time environments. Optimize models and infrastructure for performance and scalability. Research and implement best practices in ML systems and lifecycle management. Deploy deep learning models using high-performance computing environments. Integrate ML frameworks into cloud/distributed systems. Required Skills: 2+ years of Python development in a programming-intensive role. 1+ year of hands-on ML experience (e.g., Classification, Clustering, Optimization, Deep Learning). 2+ years working with distributed frameworks (Spark, Hadoop, Kubernetes). 2+ years with ML tools such as TensorFlow, PyTorch, Keras, MLlib. 2+ years experience with cloud platforms (AWS, Azure, GCP). Excellent communication skills. Preferred: Prior experience in AdTech or digital advertising platforms (DSP, Ad Exchange, SSP). Education: M.Tech or Ph.D. in Computer Science, Software Engineering, Mathematics, or a related discipline. Why Apply? Join a fast-moving team working on the forefront of AI in advertising. Build technologies that impact billions of users worldwide. Shape the future of programmatic and performance advertising. Show more Show less

SUBJECT - MATH LEVEL - JEE MAINS SELECTION PROCESS - OFFLINE INTERVIEW EXPERIENCE - MIN 3 YEAR SALARY - 12LPA + ACCOMODATION LOCATION - AKOLA(MAHARASTRA) IF INTERESTED PLEASE SHARE YOUR CV TO CV@SIKCHAKHUB.COM

Business Function As an Asian leader in treasury operations, DBS Global Financial Markets (GFM) extends a broad range of capabilities ranging from trading, structuring and sales in foreign exchange, interest rates, money market, credit, equity, commodities, bonds, derivatives and securities. We are a key player in various regional markets and actively make market, structure, originate, innovate and distribute a wide range of products. Our extensive network in Asia and our growing Asian focused franchises helps expand our product outreach and deepen product penetration. Altogether, our specialists are working across our expanding branch network to offer a full range of products and exceptional levels of services to clients investing and hedging in the global markets. Job Purpose The job purpose is to originate, structure, and execute a diverse range of debt capital market products, ensuring compliance and contributing to the overall success of the team and the organization This involves working closely with clients, internal teams, and external partners to deliver high-quality results while managing risk effectively Key Accountibilities Origination and execution of Debt Capital Market products (Pass Through Certificates, INR debentures, FCY bonds, FCCBs and private credit) and contribute towards team KPIs Other Activities Taking care of all internal and external compliances Coordination for team audit activities Be active part of team strategy building Manage special projects being awarded from time to time Job Duties & Responsibilities Develop and deliver compelling pitch decks for client presentations Present to clients, explaining product offerings and negotiating deal terms Provide regular market updates and pricing information to clients Prepare and manage all necessary transaction documentation Liaise with external parties (lawyers, trustees, other banks) to ensure smooth transaction execution Collaborate with internal teams (IBG, asset owners, legal, compliance, credit sales) throughout the deal lifecycle Structure and execute various debt capital market products (PTCs, INR debentures, FCY bonds, FCCBs, private credit) Perform due diligence and credit analysis on potential borrowers Manage the selection of assets for PTC pools Coordinate with rating agencies to obtain credit ratings for debt instruments Perform periodic stress testing on PTC portfolios Requirements 4 to 6 year of work experience in INR debt capital markets / securitsation, credit structuring, debt advisory etc Prior experience in structuring and executing PTC transactions Experience in using excel sheet for asset portfolio stress testing using historical pool behaviour Basic understanding of debt finance, financial analysis, covenants etc Basic understanding of bond mathematics is a must Good presentation and communication skills Good hold over MS power point / MS excel Education / Preferred Qualifications 4 to 6 year of work experience Core Competencies Leadership Customer Focus Performance & Results Orientation Innovation & Change Management Teamwork Professional Excellence Technical Expertise Market Awareness Deal Structuring & Negotiation Problem-Solving & Analytical Skills Strategic Thinking Client Relationship Management Work Relationship Superior(s) : GFM & Corporate Treasurer Peers : RMG, T&O, IBG/CBG, GTS, HO External Parties : Market Counterparties, Regulators Primary Location India-Delhi-New Delhi Job COO Office/Business Mgt & Support Schedule Regular Job Type Full-time Job Posting Jun 16, 2025, 7:44:10 PM Show more Show less

Job Description: We are looking for an experienced and dedicated Mathematics Faculty for our JEE (Main & Advanced) division who can join immediately. The ideal candidate should have a strong conceptual command over the JEE syllabus and the ability to teach both offline and online classes. Key Responsibilities: Conduct offline classroom sessions for JEE Main & Advanced aspirants. Deliver concept-oriented and result-driven lectures. Develop high-quality content, assignments, and test papers. Analyze students' performance and provide regular feedback. Clear student doubts both in and outside the classroom. Work closely with the academic team for scheduling, planning, and course progress. Eligibility Criteria: Minimum 2 years of experience teaching JEE (Main & Advanced) level Mathematics. Strong academic background (B.Tech/M.Sc. in Mathematics or relevant field preferred). Proven track record of producing good results in previous institutions. Excellent communication and presentation skills. Location : Prime Height, Plot No – KV 07, 1st Floor, Opposite, Angad Dev Shopping Complex, Nainital Road, Rudrapur, District. Udham Singh Nagar, Uttrakhand-263153 How to Apply: Interested candidates who can joinimmediately may send their resume to 8824316261 for scheduling a demo/interview. Job Type: Full-time Pay: ₹40,000.00 - ₹60,000.00 per month Schedule: Day shift Language: English (Preferred) Work Location: In person