3308 Data Scientist Jobs - Page 9

Crossing Hurdles is a recruitment firm. We refer top candidates to our partners working with the world’s leading AI research labs to help build and train cutting-edge AI models. Position: Data Science Expert – AI Research Type: Hourly Contract Compensation: $60–$100/hour (based on experience) Location: Remote Duration: 5–6 weeks initially (with potential for extension) Commitment: Part-time (~10–20 hrs/week, flexible) Role Responsibilities (Training support will be provided) Evaluate AI-generated data analysis for quality, accuracy, and relevance. Conduct statistical analysis and modelling for both specific and open-ended prompts. Design prompts and create detailed rubrics for reward modelling and evaluation. Produce gold-standard responses, including data visualisations, explanatory notes, and executable Python code. Translate data science reasoning, decision-making, and expertise into gradable criteria for AI agents. Requirements Bachelor’s, Master’s, or PhD in Data Science, Computer Science, Statistics, Mathematics, or equivalent, OR 2+ years of relevant industry experience. Proficiency in Python data science libraries (e.g., pandas, numpy, scikit-learn). Strong understanding of data analysis techniques, statistical modelling, and machine learning principles. Ability to identify patterns and trends in complex datasets and communicate insights clearly. Excellent analytical and data-driven writing skills. P.S. – Accept the CrossingHurdles referral invite pop-up during the application process so we can keep you posted and help you with any issues or questions.

Role Overview We are seeking a Senior Analyst – Data Science with strong skills in predictive modeling and statistical analysis, particularly in the Automotive industry . The role focuses on building and validating risk and finance-related models, working with large-scale data, and delivering actionable insights to global automotive clients. This is an Individual Contributor (IC) role with direct client-facing responsibilities. Experience: 3 to 6 years Work Location: Chennai, Tamil Nadu, India Key Responsibilities Build, validate, and document ML predictive models for automotive risk and finance use cases. Execute data extraction and transformation using SQL . Apply statistical modeling, regression techniques, and machine learning algorithms to solve automotive industry challenges. Interpret model inputs/outputs and provide insights into vehicle performance, risk, and financial forecasting. Challenge traditional automotive finance models using advanced data science approaches. Work independently with clients and present results effectively. Required Skills & Expertise 3–5 years of experience in Data Science / Predictive Analytics . Strong hands-on expertise in Python and SQL . Experience with ML/statistical modeling, regression analysis, and validation . Automotive domain knowledge – familiarity with risk modeling, vehicle lifecycle analytics, warranty/claims analysis, or customer/finance-related insights. Exposure to Google Cloud Platform (GCP) is an advantage. Good knowledge of Power BI, R, Excel preferred. Strong communication and client interaction skills. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.

OSP India, now part of one.O. OSP India - Hyderabad Private Limited takes a significant step forward in its evolution by becoming part of Otto Group one.O, the new central, high-performance partner for strategy consulting and technology for the Otto Group. This strengthens our mission to deliver innovative IT solutions for commerce and logistics, combining experience, technology, and a global vision to lead the digital future. OSP India’s name transition OSP India will adopt the name Otto Group one.O in the future, following our headquarters' rebranding. We want to assure you that this brand name change will not affect your role, job security, or our company culture. This transition aligns us with our global teams in Germany, Spain, and Taiwan and enhances our collaboration moving forward We are looking for a Data Scientist to join our dynamic team. In this role, you will take end-to-end responsibility for developing, deploying, and optimizing machine learning models that support marketing, budgeting, and business decision-making. You will work closely with colleagues across departments, translating data-driven insights into actionable strategies with measurable business impact. Responsibilities Design and develop machine learning models for budget allocation, marketing performance optimization, and business management . Apply classic ML methods such as XGBoost, regression models, and curve fitting to solve business challenges. Take ownership of the end-to-end data science lifecycle , from data analysis and model development to deployment and production operations. Continuously monitor, evaluate, and optimize existing models for performance and scalability. Collaborate within the data science team , working flexibly across both data science and data engineering tasks. Advise and support business stakeholders with actionable recommendations derived from model results. Requirements Strong proficiency in Python and SQL (especially using SQL within Python workflows). Expertise in machine learning algorithms (e.g., XGBoost, regression models) and solid understanding of statistical principles. Practical experience with Python data science libraries (e.g., pandas, NumPy, scikit-learn, SciPy, statsmodels, XGBoost). Ability to write and maintain production-ready code with best practices in software engineering. Experience deploying and operating models in production environments (MLOps mindset). Familiarity with cloud environments and Infrastructure as Code (IaC) concepts. Pragmatic, solution-oriented mindset with strong focus on delivering business impact . Nice-to-Have Experience with: Terraform Google Cloud Platform (GCP) Snowflake GitHub (version control, CI/CD pipelines) Knowledge of marketing and pricing processes and related models. Proficiency in German (minimum C1) for advising and collaborating with non-technical stakeholders. Benefits · Flexible Working Hours: Support for work-life balance through adaptable scheduling. · Comprehensive Medical Insurance: Coverage for employees and families, ensuring access to quality healthcare. · Hybrid Work Model: Blend of in-office collaboration and remote work opportunities, with four days a week in the office.

Join our team as an experienced data scientist with a passion for tackling complex challenges in clean tech and climate science. If you’re also enthusiastic about making a significant impact on the energy transition and wish to be part of a pioneering startup, we would like to have you onboard. Location: New Delhi, India

We’re Hiring – Python Data Experts Join our Performance Marketing AI/ML projects and work on cutting-edge data visualization and engineering. Roles Open: 30 Data Scientists / Visualization Experts 20 Data Engineers You should have: Advanced Python skills (pandas, matplotlib, plotly, bokeh, dash) Data wrangling and large dataset handling experience Interactive dashboard creation expertise (Bonus) BI tools: Tableau, Power BI, Looker Remote | Contract | Flexible Apply now: https://forms.gle/CsNS4SyVkekmuoJZA Only shortlisted candidates will be contacted. #DataScience #DataEngineering #Python #DataVisualization #DataJobs #RemoteWork #FreelanceJobs #MachineLearning #AIML #BusinessIntelligence #Dashboards #Plotly #Matplotlib #DataWrangling #BigData #Tableau #PowerBI #Bokeh #Dash

About Flutter Entertainment Flutter Entertainment is the world’s largest sports betting and iGaming operator with 13.9 million Average Monthly Players worldwide and an annual revenue of $14Bn in 2024. We have a portfolio of iconic brands, including Paddy Power, Betfair, FanDuel, PokerStars, Junglee Games and Sports bet. Flutter Entertainment is listed on both the New York Stock Exchange (NYSE) and the London Stock Exchange (LSE). In 2024, we were recognized in TIME’s 100 Most Influential Companies under the 'Pioneers' category—a testament to our innovation and impact. Our ambition is to transform global gaming and betting to deliver long-term growth and a positive, sustainable future for our sector. Together, we are Changing the Game. Working at Flutter is a chance to work with a growing portfolio of brands across a range of opportunities. We will support you every step of the way to help you grow. Just like our brands, we ensure our people have everything they need to succeed. FLUTTER ENTERTAINMENT INDIA Our Hyderabad office, located in one of India’s premier technology parks is the Global Capability Center for Flutter Entertainment. A center of expertise and innovation, this hub is now home to over 900+ talented colleagues working across Customer Service Operations, Data and Technology, Finance Operations, HR Operations, Procurement Operations, and other key enabling functions. We are committed to crafting impactful solutions for all our brands and divisions to power Flutter's incredible growth and global impact. With the scale of a leader and the mindset of a challenger, we’re dedicated to creating a brighter future for our customers, colleagues, and communities. Overview Of The Role We are seeking a highly skilled and certified Data Scientist with expertise in Tableau AI and Tableau Pulse to drive advanced analytics and actionable insights. This role involves designing and implementing data-driven solutions, enabling real-time decision-making through predictive and prescriptive analytics. You will play a pivotal role in building intuitive dashboards, developing AI/ML models, and leveraging data to support strategic objectives. This position offers an exciting opportunity to align analytics initiatives with broader strategic goals and enable impactful decision-making processes. Experience in People Analytics is a strong plus. Key Responsibilities Data Analytics & Insights Design and implement advanced descriptive, predictive, and prescriptive analytics models. Identify trends and patterns in workforce, operational, and business data to support strategic decisions. Leverage Tableau AI and Tableau Pulse for real-time reporting and automated notifications. Visualization & Reporting Create and maintain interactive dashboards to enable actionable insights for stakeholders. Develop customized reports and visualizations to support leadership decision-making. Model Development & Automation Build machine learning models to predict behaviours and optimize business processes. Automate repetitive data tasks to streamline analytics workflows and enhance efficiency. Collaboration & Strategy Partner with cross-functional teams to understand analytics needs and deliver impactful solutions. Translate complex data insights into clear, actionable narratives for diverse stakeholders. Data Integrity & Governance Ensure data accuracy, quality, and compliance with governance policies and industry standards. Collaborate with IT and data governance teams to enhance data accessibility and security. TO EXCEL IN THIS ROLE, YOU WILL NEED TO HAVE Bachelor's or master's degree in data science, Computer Science, Statistics, or a related field. Tableau AI / Advanced Tableau Pulse certification is a plus. Additional certifications in Python, R, SQL, or cloud platforms are advantageous. 5-7 years of experience in data science or advanced analytics. Proven expertise in Tableau AI, Tableau Pulse, and related dashboarding tools. Experience in People Analytics is a strong advantage but not mandatory. Proficiency in Tableau AI, Tableau Pulse, and advanced data visualization tools. Strong programming skills in Python, R, or SQL. Experience with machine learning and predictive modelling techniques. Expertise in working with large datasets to extract meaningful insights. Familiarity with workforce analytics, talent trends, or operational metrics is desirable. Excellent communication and presentation skills. Ability to work both independently and collaboratively in a fast-paced environment. Benefits We Offer Access to Learnerbly, Udemy , and a Self-Development Fund for upskilling. Career growth through Internal Mobility Programs . Comprehensive Health Insurance for you and dependents. Well-Being Fund and 24/7 Assistance Program for holistic wellness. Hybrid Model : 2 office days/week with flexible leave policies, including maternity, paternity, and sabbaticals. Free Meals, Cab Allowance , and a Home Office Setup Allowance. Employer PF Contribution , gratuity, Personal Accident & Life Insurance. Sharesave Plan to purchase discounted company shares. Volunteering Leave and Team Events to build connections. Recognition through the Kudos Platform and Referral Rewards . WHY CHOOSE US Flutter is an equal-opportunity employer and values the unique perspectives and experiences that everyone brings. Our message to colleagues and stakeholders is clear: everyone is welcome, and every voice matters. We have ambitious growth plans and goals for the future. Here's an opportunity for you to play a pivotal role in shaping the future of Flutter Entertainment India

About Flutter Entertainment Flutter Entertainment is the world’s largest sports betting and iGaming operator with 13.9 million Average Monthly Players worldwide and an annual revenue of $14Bn in 2024. We have a portfolio of iconic brands, including Paddy Power, Betfair, FanDuel, PokerStars, Junglee Games and Sports bet. Flutter Entertainment is listed on both the New York Stock Exchange (NYSE) and the London Stock Exchange (LSE). In 2024, we were recognized in TIME’s 100 Most Influential Companies under the 'Pioneers' category—a testament to our innovation and impact. Our ambition is to transform global gaming and betting to deliver long-term growth and a positive, sustainable future for our sector. Together, we are Changing the Game. Working at Flutter is a chance to work with a growing portfolio of brands across a range of opportunities. We will support you every step of the way to help you grow. Just like our brands, we ensure our people have everything they need to succeed. FLUTTER ENTERTAINMENT INDIA Our Hyderabad office, located in one of India’s premier technology parks is the Global Capability Center for Flutter Entertainment. A center of expertise and innovation, this hub is now home to over 900+ talented colleagues working across Customer Service Operations, Data and Technology, Finance Operations, HR Operations, Procurement Operations, and other key enabling functions. We are committed to crafting impactful solutions for all our brands and divisions to power Flutter's incredible growth and global impact. With the scale of a leader and the mindset of a challenger, we’re dedicated to creating a brighter future for our customers, colleagues, and communities. Overview Of The Role We are seeking a highly skilled and certified Data Scientist with expertise in Tableau AI and Tableau Pulse to drive advanced analytics and actionable insights. This role involves designing and implementing data-driven solutions, enabling real-time decision-making through predictive and prescriptive analytics. You will play a pivotal role in building intuitive dashboards, developing AI/ML models, and leveraging data to support strategic objectives. This position offers an exciting opportunity to align analytics initiatives with broader strategic goals and enable impactful decision-making processes. Experience in People Analytics is a strong plus. Key Responsibilities Data Analytics & Insights Design and implement advanced descriptive, predictive, and prescriptive analytics models. Identify trends and patterns in workforce, operational, and business data to support strategic decisions. Leverage Tableau AI and Tableau Pulse for real-time reporting and automated notifications. Visualization & Reporting Create and maintain interactive dashboards to enable actionable insights for stakeholders. Develop customized reports and visualizations to support leadership decision-making. Model Development & Automation Build machine learning models to predict behaviours and optimize business processes. Automate repetitive data tasks to streamline analytics workflows and enhance efficiency. Collaboration & Strategy Partner with cross-functional teams to understand analytics needs and deliver impactful solutions. Translate complex data insights into clear, actionable narratives for diverse stakeholders. Data Integrity & Governance Ensure data accuracy, quality, and compliance with governance policies and industry standards. Collaborate with IT and data governance teams to enhance data accessibility and security. TO EXCEL IN THIS ROLE, YOU WILL NEED TO HAVE Bachelor's or master's degree in data science, Computer Science, Statistics, or a related field. Tableau AI / Advanced Tableau Pulse certification is a plus. Additional certifications in Python, R, SQL, or cloud platforms are advantageous. 5-7 years of experience in data science or advanced analytics. Proven expertise in Tableau AI, Tableau Pulse, and related dashboarding tools. Experience in People Analytics is a strong advantage but not mandatory. Proficiency in Tableau AI, Tableau Pulse, and advanced data visualization tools. Strong programming skills in Python, R, or SQL. Experience with machine learning and predictive modelling techniques. Expertise in working with large datasets to extract meaningful insights. Familiarity with workforce analytics, talent trends, or operational metrics is desirable. Excellent communication and presentation skills. Ability to work both independently and collaboratively in a fast-paced environment. Benefits We Offer Access to Learnerbly, Udemy , and a Self-Development Fund for upskilling. Career growth through Internal Mobility Programs . Comprehensive Health Insurance for you and dependents. Well-Being Fund and 24/7 Assistance Program for holistic wellness. Hybrid Model : 2 office days/week with flexible leave policies, including maternity, paternity, and sabbaticals. Free Meals, Cab Allowance , and a Home Office Setup Allowance. Employer PF Contribution , gratuity, Personal Accident & Life Insurance. Sharesave Plan to purchase discounted company shares. Volunteering Leave and Team Events to build connections. Recognition through the Kudos Platform and Referral Rewards . WHY CHOOSE US Flutter is an equal-opportunity employer and values the unique perspectives and experiences that everyone brings. Our message to colleagues and stakeholders is clear: everyone is welcome, and every voice matters. We have ambitious growth plans and goals for the future. Here's an opportunity for you to play a pivotal role in shaping the future of Flutter Entertainment India

Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do? AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do You Dream Big? We Need You. Job Title: Data Scientist Location: Bangalore Reporting to: Manager- Analytics/ Senior Manager-Analytics Purpose of the role Drive AB InBev's pricing strategy by developing and refining data science models , specifically elasticity models , to provide actionable insights that guide business in making optimal pricing decisions. KEY TASKS AND ACCOUNTABILITIES Understand the business problem and translate that to an analytical problem; participate in the solution design process. Manage the full AI/ML lifecycle, including data preprocessing, feature engineering, model training, validation, deployment, and monitoring. Develop reusable and modular Python code adhering to OOP (Object-Oriented Programming) principles. Design, develop, and deploy machine learning models into production environments on Azure. Collaborate with data scientists, software engineers, and other stakeholders to meet business needs. Ability to communicate findings clearly to both technical and business stakeholders. Qualifications, Experience, Skills Level of educational attainment required (1 or more of the following) B.Tech /BE/ Masters in CS/IS/AI/ML/ Statistics Previous Work Experience Required Minimum 3 years of relevant experience Technical Skills Required Must Have Strong expertise in Python, including advanced knowledge of OOP concepts. Exposure to AI/ML methodologies with a previous hands-on experience in ML concepts like forecasting, clustering, regression, classification, optimization using Python Azure Tech Stack, Databricks, ML Flow in any cloud platform Airflow for orchestrating and automating workflows MLOPS concepts and containerization tools like Docker Experience with version control tools such as Git. Consistently display an intent for problem solving Strong communication skills (vocal and written) Ability to effectively communicate and present information at various levels of an organization. Good To Have Preferred industry exposure in Pricing and Revenue management Domain Product building experience Other Skills Required Passion for solving problems using data Detail oriented, analytical and inquisitive Ability to learn on the go Ability to work independently and with others We dream big to create future with more cheers

Data Scientist Gurgaon, India; Ahmedabad, India; Buenos Aires, Argentina; Hyderabad, India; Noida, India Information Technology 315682 Job Description About The Role: Grade Level (for internal use): 09 The Team: As a member of the Data Transformation team you will work on building ML powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global Market Intelligence and our clients. You will spearhead development of 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 encouraged for thoughtful risk-taking and self-initiative. The Impact: The Data Transformation team has already delivered breakthrough products and significant business value over the last 3 years. In this role you will be developing our next generation of new products while enhancing existing ones aiming at solving high-impact business problems. What’s in it for you: Be a part of a global company and build solutions at enterprise scale Collaborate with a highly skilled and technically strong team Contribute to solving high complexity, high impact problems Key Responsibilities Design, Develop and Deploy ML powered products and pipelines Play a central role in all stages of the data science project life cycle, including: Identification of suitable data science project opportunities Partnering with business leaders, domain experts, and end-users to gain business understanding, data understanding, and collect requirements Evaluation/interpretation of results and presentation to business leaders Performing exploratory data analysis, proof-of-concept modelling, model benchmarking and setup model validation experiments Training large models both for experimentation and production Develop production ready pipelines for enterprise scale projects Perform code reviews & optimization for your projects and team Spearhead deployment and model scaling strategies Stakeholder management and representing the team in front of our leadership Leading and mentoring by example including project scrums What We’re Looking For: 2+ years of professional experience in Data Science domain Expertise in Python (Numpy, Pandas, Spacy, Sklearn, Pytorch/TF2, HuggingFace etc.) Experience with SOTA models related to NLP and expertise in text matching techniques, including sentence transformers, word embeddings, and similarity measures Expertise in probabilistic machine learning model for classification, regression & clustering Strong experience in feature engineering, data preprocessing, and building machine learning models for large datasets. Exposure to Information Retrieval, Web scraping and Data Extraction at scale OOP Design patterns, Test-Driven Development and Enterprise System design SQL (any variant, bonus if this is a big data variant) Linux OS (e.g. bash toolset and other utilities) Version control system experience with Git, GitHub, or Azure DevOps. Problem-solving and debugging skills Software craftsmanship, adherence to Agile principles and taking pride in writing good code Techniques to communicate change to non-technical people Nice to have Prior work to show on Github, Kaggle, StackOverflow etc. Cloud expertise (AWS and GCP preferably) Expertise in deploying machine learning models in cloud environments Familiarity in working with LLMs 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), IFTECH202.1 - Middle Professional Tier I (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 315682 Posted On: 2025-08-14 Location: Gurgaon, Haryana, India

Bhubaneswar, India Job Category : Data Scientist Posting Date : 01 January 2024 Job Type : Engineering Years of Experience : 5 Does this position require a security clearance? No Applicants are required to read,write and speak the following languages Hindi/English Additional Info : Job Description Are you seeking your next career advancement? At our company, we present thrilling prospects for skilled professionals in a diverse range of job fields and positions. Come on board with us to create remarkable achievements. We take pride in being the fastest-growing enterprise resource planning platform, attracting new customers to our advanced system for expediting their business processes. Our teams diligently contribute towards our triumph, each with a crucial role to fulfill. Responsibilities Develop and create AI/ML based predictive solutions and enhance or upgrade existing ones. Collaborate and communicate effectively with various teams within Nirmalya. Establish strong partnerships with business representatives to fully grasp their requirements. Engage proficiently with other teams and individuals. Proficient in programming languages like Python. Exceptional verbal and written English communication abilities. Outstanding troubleshooting and problem-solving skills. Possess a curious mindset to tackle exciting new subjects. Display a high level of curiosity, motivation, and eagerness to learn new technologies. Valuable team player with fast learning abilities. Encouraged to contribute own ideas and perspectives openly. Qualifications Bachelor's or higher degree in computer science or a related technical/scientific discipline. Strong analytical skills required, including a thorough understanding of how to interpret customer business needs and translate them into solutions and operational requirements. Excellent verbal and written communication skills and the ability to interact professionally with a diverse group, executives, managers, and subject matter experts. Required Skills Proficiency in mathematics, statistics, computer science, or related fields is required. Preferably, expertise in linear algebra, calculus, and statistics. In-depth knowledge of data science and predictive methodologies is essential. Familiarity with agile working methodologies such as SAFe, SCRUM, KANBAN, etc. is advantageous. Capable of managing multiple projects simultaneously. Additional programming skills are highly advantageous (optional). Disclaimer Hiring Range: from 1000000 to 2250000 per annum. May be eligible for bonus and equity. We maintain broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Nirmalya’s differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. About Us Nirmalya's career has the potential to encompass various industries, roles, countries, and cultures, allowing for growth in novel positions and driving innovation, while effectively balancing work and personal life. Nirmalya has achieved success over the years by embracing change, fostering innovation, and consistently upholding ethical principles, thereby delivering exceptional results for leading companies across multiple industries.To foster and support the talents responsible for such accomplishments, our dedication lies in cultivating an inclusive culture that appreciates and embraces diverse insights and perspectives. We strive to create a workforce that inspires thought leadership and sparks innovation, ensuring a thriving environment for all. Nirmalya Employee Benefits are meticulously designed to prioritize equality, reliability, and affordability. Our comprehensive package encompasses essential features such as Medical and Life Insurance, while also granting access to Retirement Planning and more. Additionally, we actively encourage our employees to actively contribute to the well-being of the communities where we operate. We firmly believe that fostering diversity and inclusion lays the foundation for innovation. To shape a brighter tomorrow, we seek talent from diverse backgrounds, embracing a range of perspectives and abilities. We are committed to providing reasonable accommodations to individuals with disabilities throughout the job application, interview, and prospective role stages, thereby enabling them to effectively perform crucial job functions. Our dedication lies in fostering an inclusive workforce that enables every individual to thrive. We believe in the power of diverse perspectives and value every voice, as it is this harmony that propels us to surpass previous achievements. As an Equal Employment Opportunity Employer, Nirmalya ensures that all applicants are treated fairly and without discrimination. We promote equality regardless of race, color, religion, national origin, gender identity, disability, protected veterans’ status, or any other characteristic protected by law. Additionally, Oracle complies with applicable legislation by considering qualified applicants with arrest and conviction records for employment opportunities. Join our team where diversity is celebrated, and everyone's unique contribution is respected. Together, we embrace innovation and strive towards excellence – a testament to our commitment to fostering an inclusive and thriving workplace.

The role will be in one of the different teams in GDI&A (Manufacturing Analytics). 1. Potential candidates should possess a strong analytical mindset and be very comfortable with processing and manipulating large data sets in various formats. 2. Familiarity with analytics methods (descriptive/predictive/prescriptive) and Business Intelligence tools (Python, Dash, PowerBI) would be a definite plus. 3. Exposure to Cloud technologies (e.g., Google Cloud), including executing Machine Learning algorithms on Cloud would be definite plus. 4. Candidates should display interest and initiative in translating a business problem into an analytical problem and determining the appropriate analytical methods to be used. Masters in Data Science or AI/ML or Equivalent courses. 3+ Years of Experience in GCP and AI/ML. Dash and React UI is a preferred skills. Experience with software craftsmanship and agile ceremonies. Desired Skils/Tools: Python, SQL, BQ, JIRA, Git, GenAI. Data Modeling and Exploratory data analysis. Identify patterns and insights leveraging analytical tools and techniques Develop machine learning models and implement ML feature delivery as managed services or on device models Collaborate with data engineers and product designers to develop data and model pipelines Write production-level code and bring code to production Engage in code reviews Design and evaluate approaches for handling large volume of real data streams. Improve existing machine learning models Develop prototype for future exploration. Communicate complex processes to business stakeholders effectively Work with Corporate safety office and Digital manufacturing systems team to deliver FPS+ initiatives

About Fusemachines Fusemachines is a 10+ year old AI company, dedicated to delivering state-of-the-art AI products and solutions to a diverse range of industries. Founded by Sameer Maskey, Ph.D., an Adjunct Associate Professor at Columbia University, our company is on a steadfast mission to democratize AI and harness the power of global AI talent from underserved communities. With a robust presence in four countries and a dedicated team of over 400 full-time employees, we are committed to fostering AI transformation journeys for businesses worldwide. At Fusemachines, we not only bridge the gap between AI advancement and its global impact but also strive to deliver the most advanced technology solutions to the world. About the Role: Location: Remote | Full-time We are seeking an experienced and motivated Data Scientist to spearhead our data-driven initiatives. The ideal candidate will be responsible for architecting scalable solutions, and applying advanced analytical techniques to solve complex business problems. You will be instrumental in transforming raw data into actionable insights that drive strategy and operational improvements. Key Responsibilities Drive the design, development, and testing of big data applications to ensure the timely delivery of product goals Proactively identifying and implementing code and design optimizations Collaborate closely with data engineers, analysts, and business teams to analyze requirements and ensure data-driven solutions are effectively implemented Develop end-to-end data solutions, from data collection and cleaning to building and deploying predictive machine learning models Conduct exploratory data analysis using statistical methods to uncover trends, patterns, and actionable insights Create compelling data visualizations, dashboards, and reports to communicate complex findings to both technical and non-technical stakeholders Provide data-backed recommendations to support key business decisions and improve strategies Learn and integrate with a wide variety of internal and external systems, APIs, and platforms Required Skills & Qualifications Minimum of 3+ years of hands-on experience in data science or big data development Proven track record of successfully guiding development projects Expertise in Python and PySpark, including tools like Jupyter Notebooks and environment controllers (e.g., Poetry, PipEnv) Hands-on experience with the Databricks platform and Apache Spark Proficiency with relational databases (e.g., PostgreSQL, SQL Server, Oracle) and SQL Strong practical knowledge of data cleansing, transformation, and validation techniques Experience with code versioning tools like Git (GitHub, Azure DevOps, Bitbucket) Excellent written and verbal communication skills, with the ability to articulate complex technical concepts clearly. Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws Powered by JazzHR Y5yNvntrhl

Bhubaneswar, India Job Category : Data Scientist Posting Date : 01 January 2024 Job Type : Engineering Years of Experience : 5 Does this position require a security clearance? No Applicants are required to read,write and speak the following languages Hindi/English Additional Info : Job Description Are you seeking your next career advancement? At our company, we present thrilling prospects for skilled professionals in a diverse range of job fields and positions. Come on board with us to create remarkable achievements. We take pride in being the fastest-growing enterprise resource planning platform, attracting new customers to our advanced system for expediting their business processes. Our teams diligently contribute towards our triumph, each with a crucial role to fulfill. Responsibilities Develop and create AI/ML based predictive solutions and enhance or upgrade existing ones. Collaborate and communicate effectively with various teams within Nirmalya. Establish strong partnerships with business representatives to fully grasp their requirements. Engage proficiently with other teams and individuals. Proficient in programming languages like Python. Exceptional verbal and written English communication abilities. Outstanding troubleshooting and problem-solving skills. Possess a curious mindset to tackle exciting new subjects. Display a high level of curiosity, motivation, and eagerness to learn new technologies. Valuable team player with fast learning abilities. Encouraged to contribute own ideas and perspectives openly. Qualifications Bachelor's or higher degree in computer science or a related technical/scientific discipline. Strong analytical skills required, including a thorough understanding of how to interpret customer business needs and translate them into solutions and operational requirements. Excellent verbal and written communication skills and the ability to interact professionally with a diverse group, executives, managers, and subject matter experts. Required Skills Proficiency in mathematics, statistics, computer science, or related fields is required. Preferably, expertise in linear algebra, calculus, and statistics. In-depth knowledge of data science and predictive methodologies is essential. Familiarity with agile working methodologies such as SAFe, SCRUM, KANBAN, etc. is advantageous. Capable of managing multiple projects simultaneously. Additional programming skills are highly advantageous (optional). Disclaimer Hiring Range: from 1000000 to 2250000 per annum. May be eligible for bonus and equity. We maintain broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Nirmalya’s differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. About Us Nirmalya's career has the potential to encompass various industries, roles, countries, and cultures, allowing for growth in novel positions and driving innovation, while effectively balancing work and personal life. Nirmalya has achieved success over the years by embracing change, fostering innovation, and consistently upholding ethical principles, thereby delivering exceptional results for leading companies across multiple industries.To foster and support the talents responsible for such accomplishments, our dedication lies in cultivating an inclusive culture that appreciates and embraces diverse insights and perspectives. We strive to create a workforce that inspires thought leadership and sparks innovation, ensuring a thriving environment for all. Nirmalya Employee Benefits are meticulously designed to prioritize equality, reliability, and affordability. Our comprehensive package encompasses essential features such as Medical and Life Insurance, while also granting access to Retirement Planning and more. Additionally, we actively encourage our employees to actively contribute to the well-being of the communities where we operate. We firmly believe that fostering diversity and inclusion lays the foundation for innovation. To shape a brighter tomorrow, we seek talent from diverse backgrounds, embracing a range of perspectives and abilities. We are committed to providing reasonable accommodations to individuals with disabilities throughout the job application, interview, and prospective role stages, thereby enabling them to effectively perform crucial job functions. Our dedication lies in fostering an inclusive workforce that enables every individual to thrive. We believe in the power of diverse perspectives and value every voice, as it is this harmony that propels us to surpass previous achievements. As an Equal Employment Opportunity Employer, Nirmalya ensures that all applicants are treated fairly and without discrimination. We promote equality regardless of race, color, religion, national origin, gender identity, disability, protected veterans’ status, or any other characteristic protected by law. Additionally, Oracle complies with applicable legislation by considering qualified applicants with arrest and conviction records for employment opportunities. Join our team where diversity is celebrated, and everyone's unique contribution is respected. Together, we embrace innovation and strive towards excellence – a testament to our commitment to fostering an inclusive and thriving workplace.

Who We Are We are a leader in fraud prevention and AML compliance. Our platform uses device intelligence, behavior biometrics, machine learning, and AI to stop fraud before it happens. Today, over 300 banks, retailers, and fintechs worldwide use Sardine to stop identity fraud, payment fraud, account takeovers, and social engineering scams. We have raised $145M from world-class investors, including Andreessen Horowitz, Activant, Visa, Experian, FIS, and Google Ventures. Our Culture We have hubs in the Bay Area, NYC, Austin, and Toronto. However, we maintain a remote-first work culture. #WorkFromAnywhere We hire talented, self-motivated individuals with extreme ownership and high growth orientation. We value performance and not hours worked. We believe you shouldn't have to miss your family dinner, your kid's school play, friends get-together, or doctor's appointments for the sake of adhering to an arbitrary work schedule. Location: Mumbai, India (Remote) About The Role We’re looking for a data-driven professional to help us measure, understand, and improve the performance of our risk strategies. In this role, you’ll analyze complex datasets, design metrics, build dashboards, and collaborate closely with stakeholders across the business to drive decision-making and optimize outcomes. What You'll Be Doing Develop and track key metrics to evaluate the effectiveness of risk strategies and operational performance. Conduct deep-dive analyses to uncover insights that drive improved decision-making and reduce exposure to fraud. Build and experiment with ML models to identify fraudulent patterns and enhance fraud detection capabilities. Partner with engineers to ensure accurate and scalable data instrumentation. Build and maintain self-serve dashboards and reporting tools using modern BI platforms. Translate business needs into analytical approaches in collaboration with cross-functional teams (e.g. Engineering, Business, Operations). Contribute to the design and evaluation of risk mitigation initiatives, ensuring they align with broader business objectives. What You'll Bring 5+ years of experience in a data-focused role (analytics, data science, or similar), with a track record of high-impact work Strong SQL and Python skills Hands-on experience with BI tools like Tableau, Sigma, or Metabase Exposure to building ML models to address business challenges Background in the fraud, risk, or compliance domain is a strong plus Proven ability to perform exploratory data analysis and cohort analysis, and translate findings into clear recommendations Strong communication skills and comfort presenting insights to technical and non-technical stakeholders A bias toward action, strong critical thinking, and a pragmatic approach to problem-solving Compensation: INR 34,00,000 - 50,00,000 + Equity with tremendous upside potential + Attractive benefits The compensation offered for this role will depend on various factors, including the candidate's location, qualifications, work history, and interview performance, and may differ from the stated range. Benefits We Offer Generous compensation in cash and equity Early exercise for all options, including pre-vested Work from anywhere: Remote-first Culture Flexible paid time off, Year-end break, Self care days off Health insurance, dental, and vision coverage for employees and dependents - US and Canada specific 4% matching in 401k / RRSP - US and Canada specific MacBook Pro delivered to your door One-time stipend to set up a home office — desk, chair, screen, etc. Monthly meal stipend Monthly social meet-up stipend Annual health and wellness stipend Annual Learning stipend Unlimited access to an expert financial advisory Join a fast-growing company with world-class professionals from around the world. If you are seeking a meaningful career, you found the right place, and we would love to hear from you. To learn more about how we process your personal information and your rights in regards to your personal information as an applicant and Sardine employee, please visit our Applicant and Worker Privacy Notice .

Why Join Us? Are you inspired to grow your career at one of India’s Top 25 Best Workplaces in IT industry? Do you want to do the best work of your life at one of the fastest growing IT services companies ? Do you aspire to thrive in an award-winning work culture that values your talent and career aspirations ? It’s happening right here at Iris Software. About Iris Software At Iris Software, our vision is to be our client’s most trusted technology partner, and the first choice for the industry’s top professionals to realize their full potential. With over 4,300 associates across India, U.S.A, and Canada, we help our enterprise clients thrive with technology-enabled transformation across financial services, healthcare, transportation & logistics, and professional services. Our work covers complex, mission-critical applications with the latest technologies, such as high-value complex Application & Product Engineering, Data & Analytics, Cloud, DevOps, Data & MLOps, Quality Engineering, and Business Automation. Working at Iris Be valued, be inspired, be your best. At Iris Software, we invest in and create a culture where colleagues feel valued, can explore their potential, and have opportunities to grow. Our employee value proposition (EVP) is about “Being Your Best” – as a professional and person. It is about being challenged by work that inspires us, being empowered to excel and grow in your career, and being part of a culture where talent is valued. We’re a place where everyone can discover and be their best version. Job Description Should be having 6 to 8 years of industry experience. Strong with libraries like Pandas, Numpy, Scipy etc. OR should have good exposure on file handling in Python Strong querying data from database(i.e. oracle etc.) using database query language like SQL, MYSQL Strong basic python concepts (like list, tuple, dictionary etc. ) and Object orient programming in Python (like classes etc.) Should have knowledge of at least one python framework (like flask etc.) Experience with Linux/Unix environment along with knowledge of basic Linux commands (i.e cut, sort, uniq etc.) Strong expertise in Natural Language Processing (NLP) and Generative AI (GenAI), including LLM fine-tuning, prompt engineering, embeddings, and end-to-end NLP pipeline development. Generative AI Detail: It's using the GenAl for developemnt, like integrate GenAl model, chatgpt, gemini to implement the project code Rather than use them to generate code. The candidate should know how to integrate to this model(chatgpt, Gemini, Azure) in python code level, not expecting someone only know how to use tool rather in code level Solid understanding of machine learning algorithms, model evaluation, and data preprocessing techniques using Python ML frameworks (scikit-learn, TensorFlow, PyTorch). Mandatory Competencies Data Science and Machine Learning - Data Science and Machine Learning - NLP (Natural language processing) Data Science and Machine Learning - Data Science and Machine Learning - Gen AI Data Science and Machine Learning - Data Science and Machine Learning - Python Programming Language - Python - Numpy Programming Language - Python - Flask Programming Language - Python - Panda Database - Oracle - PL/SQL Packages Operating System - Operating System - Linux Data Science and Machine Learning - Data Science and Machine Learning - LLM Data Science and Machine Learning - Data Science and Machine Learning - Pytorch Artificial Intelligence - AI Tools - TensorFlow Data Science and Machine Learning - Data Science and Machine Learning - Azure ML Artificial Intelligence - AI Tools - ChatGPT Beh - Communication and collaboration Perks And Benefits For Irisians At Iris Software, we offer world-class benefits designed to support the financial, health and well-being needs of our associates to help achieve harmony between their professional and personal growth. From comprehensive health insurance and competitive salaries to flexible work arrangements and ongoing learning opportunities, we're committed to providing a supportive and rewarding work environment. Join us and experience the difference of working at a company that values its employees' success and happiness.

Role: Data Scientist Experience: 7+yrs Location: Pune Notice Period: Immediate Joiner Responsibilities Gather and analyze data, using various types of analytics and reporting tools to detect patterns, trends, and relationships in data sets Establish best practices for collecting data using analysis tools, and interpreting data Process, cleanse, and verify the integrity of data used for analysis Perform ad-hoc analysis and present results in a clear manner using appropriate medium Process / mine huge volumes of structured, semi-structured and unstructured data using state-of-the- art methods to derive meaningful insights in an appropriate format Recommend tools, techniques, and practices across organizations to enhance knowledge Create complex predictive models using ML techniques and relevant tools. Required / Mandatory Excellent knowledge of Statistics, especially distributions, likelihood estimators, etc. Hands-on experience with one of these programming languages: Python / R Extensive knowledge of Machine Learning concepts and techniques, along with knowledge of various algorithms and their use cases Experience in using Business Intelligence (BI) tools like Tableau (or equivalent) Hands on experience in using SQL programming with Microsoft SQL Server / MySQL Excellent documentation skills, including advanced use of Microsoft Excel, Word, and PowerPoint Ability to work independently with minimum input or assistance Ability to effectively communicate with all levels of audience – business and technical

As a collaborative team member, you will be responsible for analyzing problems, writing functions/scripts to build datasets, conducting model building and testing, writing informal reports for internal use, and working with developers and implementation engineers to specify database models and determine algorithm implementations. You should possess 3-5 years of experience in data analysis and methodologies, along with a background in building time series and exposure to prediction modeling. Proficiency in R and Matlab, as well as knowledge of Bayesian inference, are essential for this role. Additionally, strong communication skills will be beneficial in effectively carrying out your responsibilities. If you meet the qualifications mentioned above and are interested in this opportunity, please send your resume to careers@igloble.com.,

Accountabilities Review and develop working practices to ensure that data science work is delivered to robust quality standards Interpret and analyze complex datasets using statistical and machine learning techniques. Collaborate with various teams to understand data needs and contribute to data-driven strategies. Coordinate the implementation of novel modelling solutions designed to drive the interrogation of datasets for insights in scientific and business application areas within defined project scope. This includes integrating complex data from multiple different sources and modalities includes the application of specialized approaches in classification, regression, clustering, NLP, image analysis, graph theory and/or other techniques. Using domain-specific understanding, translates unstructured, complex business problems into the appropriate data problem, model and analytical solutions Researches and develops advanced predictive models and computational methods to guide and shape decision-making within the project scope. Provide training and advice to collaborators on optimal use of key data, analysis platforms and the appropriate use of data science. Apply expert AI research techniques, including establishment of hypotheses that can be approached using computational methods and tools. Present or publish findings for conferences and in peer reviewed journals. Build and manage effective relationships with stakeholders to ensure utilization and value of information resources and services. Clearly and objectively communicate results, as well as their associated uncertainties and limitations to shape solutions Provide advanced data science expertise to cross-functional projects and shape delivery of data science solutions that drive value to AstraZeneca Apply a range of data science methodologies, developing novel data science solutions where off-the-shelf methodologies do not fit Develop, implement and maintain required tools and algorithms in a manner which meets regulatory and evidential requirements within project scope Leads data science projects of defined scope and provide coaching for team members Developing, maintaining and applying ongoing knowledge and awareness in trends, standard methodology and new developments in analytics and data science Develop, test, and deploy machine learning models to solve business problems. Present data insights and models to stakeholders with clarity and effectiveness. Continuously evaluate data models and tools to enhance data accuracy and performance. Mentor and provide guidance to other team members on analytical techniques. Flexibility to support diverse data tasks and projects as they arise. Essential Skills/Experience Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. Demonstrable experience in data analysis and machine learning projects. Proficiency in programming languages such as Python and experience with ML libraries like TensorFlow or Scikit-learn. Strong knowledge of data visualization tools, e.g., Tableau, PowerBI Experience with big data technologies, such as Hadoop or Spark.. Excellent problem-solving skills and attention to detail. Good communication skills and ability to interpret data analytics into actionable insights. Desirable Skills/Experience Experience in enterprise-level integrations and data engineering projects. Familiarity with data visualization tools such as Tableau or Power BI When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world. Join a team with the backing and investment to win! You'll be working with ground breaking technology. This marriage between our purposeful work and the use of high-tech platforms is what sets us apart. Lead the way in digital healthcare. From exploring data and AI to working in the cloud on new technologies. Join a team at the forefront. Help shape and define the technologies of the future, with the backing you need from across the business. Ready to make an impact? Apply now! Date Posted 13-Aug-2025 Closing Date AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.

About The Role Grade Level (for internal use): 09 The Team As a member of the Data Transformation team you will work on building ML powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global Market Intelligence and our clients. You will spearhead development of 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 encouraged for thoughtful risk-taking and self-initiative. The Impact The Data Transformation team has already delivered breakthrough products and significant business value over the last 3 years. In this role you will be developing our next generation of new products while enhancing existing ones aiming at solving high-impact business problems. What’s In It For You Be a part of a global company and build solutions at enterprise scale Collaborate with a highly skilled and technically strong team Contribute to solving high complexity, high impact problems Key Responsibilities Design, Develop and Deploy ML powered products and pipelines Play a central role in all stages of the data science project life cycle, including: Identification of suitable data science project opportunities Partnering with business leaders, domain experts, and end-users to gain business understanding, data understanding, and collect requirements Evaluation/interpretation of results and presentation to business leaders Performing exploratory data analysis, proof-of-concept modelling, model benchmarking and setup model validation experiments Training large models both for experimentation and production Develop production ready pipelines for enterprise scale projects Perform code reviews & optimization for your projects and team Spearhead deployment and model scaling strategies Stakeholder management and representing the team in front of our leadership Leading and mentoring by example including project scrums What We’re Looking For 2+ years of professional experience in Data Science domain Expertise in Python (Numpy, Pandas, Spacy, Sklearn, Pytorch/TF2, HuggingFace etc.) Experience with SOTA models related to NLP and expertise in text matching techniques, including sentence transformers, word embeddings, and similarity measures Expertise in probabilistic machine learning model for classification, regression & clustering Strong experience in feature engineering, data preprocessing, and building machine learning models for large datasets. Exposure to Information Retrieval, Web scraping and Data Extraction at scale OOP Design patterns, Test-Driven Development and Enterprise System design SQL (any variant, bonus if this is a big data variant) Linux OS (e.g. bash toolset and other utilities) Version control system experience with Git, GitHub, or Azure DevOps. Problem-solving and debugging skills Software craftsmanship, adherence to Agile principles and taking pride in writing good code Techniques to communicate change to non-technical people Nice to have Prior work to show on Github, Kaggle, StackOverflow etc. Cloud expertise (AWS and GCP preferably) Expertise in deploying machine learning models in cloud environments Familiarity in working with LLMs 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), IFTECH202.1 - Middle Professional Tier I (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 315682 Posted On: 2025-08-14 Location: Gurgaon, Haryana, India

About The Role Grade Level (for internal use): 09 The Team As a member of the Data Transformation team you will work on building ML powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global Market Intelligence and our clients. You will spearhead development of 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 encouraged for thoughtful risk-taking and self-initiative. The Impact The Data Transformation team has already delivered breakthrough products and significant business value over the last 3 years. In this role you will be developing our next generation of new products while enhancing existing ones aiming at solving high-impact business problems. What’s In It For You Be a part of a global company and build solutions at enterprise scale Collaborate with a highly skilled and technically strong team Contribute to solving high complexity, high impact problems Key Responsibilities Design, Develop and Deploy ML powered products and pipelines Play a central role in all stages of the data science project life cycle, including: Identification of suitable data science project opportunities Partnering with business leaders, domain experts, and end-users to gain business understanding, data understanding, and collect requirements Evaluation/interpretation of results and presentation to business leaders Performing exploratory data analysis, proof-of-concept modelling, model benchmarking and setup model validation experiments Training large models both for experimentation and production Develop production ready pipelines for enterprise scale projects Perform code reviews & optimization for your projects and team Spearhead deployment and model scaling strategies Stakeholder management and representing the team in front of our leadership Leading and mentoring by example including project scrums What We’re Looking For 2+ years of professional experience in Data Science domain Expertise in Python (Numpy, Pandas, Spacy, Sklearn, Pytorch/TF2, HuggingFace etc.) Experience with SOTA models related to NLP and expertise in text matching techniques, including sentence transformers, word embeddings, and similarity measures Expertise in probabilistic machine learning model for classification, regression & clustering Strong experience in feature engineering, data preprocessing, and building machine learning models for large datasets. Exposure to Information Retrieval, Web scraping and Data Extraction at scale OOP Design patterns, Test-Driven Development and Enterprise System design SQL (any variant, bonus if this is a big data variant) Linux OS (e.g. bash toolset and other utilities) Version control system experience with Git, GitHub, or Azure DevOps. Problem-solving and debugging skills Software craftsmanship, adherence to Agile principles and taking pride in writing good code Techniques to communicate change to non-technical people Nice to have Prior work to show on Github, Kaggle, StackOverflow etc. Cloud expertise (AWS and GCP preferably) Expertise in deploying machine learning models in cloud environments Familiarity in working with LLMs 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), IFTECH202.1 - Middle Professional Tier I (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 315682 Posted On: 2025-08-14 Location: Gurgaon, Haryana, India

About The Role Grade Level (for internal use): 09 The Team As a member of the Data Transformation team you will work on building ML powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global Market Intelligence and our clients. You will spearhead development of 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 encouraged for thoughtful risk-taking and self-initiative. The Impact The Data Transformation team has already delivered breakthrough products and significant business value over the last 3 years. In this role you will be developing our next generation of new products while enhancing existing ones aiming at solving high-impact business problems. What’s In It For You Be a part of a global company and build solutions at enterprise scale Collaborate with a highly skilled and technically strong team Contribute to solving high complexity, high impact problems Key Responsibilities Design, Develop and Deploy ML powered products and pipelines Play a central role in all stages of the data science project life cycle, including: Identification of suitable data science project opportunities Partnering with business leaders, domain experts, and end-users to gain business understanding, data understanding, and collect requirements Evaluation/interpretation of results and presentation to business leaders Performing exploratory data analysis, proof-of-concept modelling, model benchmarking and setup model validation experiments Training large models both for experimentation and production Develop production ready pipelines for enterprise scale projects Perform code reviews & optimization for your projects and team Spearhead deployment and model scaling strategies Stakeholder management and representing the team in front of our leadership Leading and mentoring by example including project scrums What We’re Looking For 2+ years of professional experience in Data Science domain Expertise in Python (Numpy, Pandas, Spacy, Sklearn, Pytorch/TF2, HuggingFace etc.) Experience with SOTA models related to NLP and expertise in text matching techniques, including sentence transformers, word embeddings, and similarity measures Expertise in probabilistic machine learning model for classification, regression & clustering Strong experience in feature engineering, data preprocessing, and building machine learning models for large datasets. Exposure to Information Retrieval, Web scraping and Data Extraction at scale OOP Design patterns, Test-Driven Development and Enterprise System design SQL (any variant, bonus if this is a big data variant) Linux OS (e.g. bash toolset and other utilities) Version control system experience with Git, GitHub, or Azure DevOps. Problem-solving and debugging skills Software craftsmanship, adherence to Agile principles and taking pride in writing good code Techniques to communicate change to non-technical people Nice to have Prior work to show on Github, Kaggle, StackOverflow etc. Cloud expertise (AWS and GCP preferably) Expertise in deploying machine learning models in cloud environments Familiarity in working with LLMs 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), IFTECH202.1 - Middle Professional Tier I (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 315682 Posted On: 2025-08-14 Location: Gurgaon, Haryana, India

About The Role Grade Level (for internal use): 09 The Team As a member of the Data Transformation team you will work on building ML powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global Market Intelligence and our clients. You will spearhead development of 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 encouraged for thoughtful risk-taking and self-initiative. The Impact The Data Transformation team has already delivered breakthrough products and significant business value over the last 3 years. In this role you will be developing our next generation of new products while enhancing existing ones aiming at solving high-impact business problems. What’s In It For You Be a part of a global company and build solutions at enterprise scale Collaborate with a highly skilled and technically strong team Contribute to solving high complexity, high impact problems Key Responsibilities Design, Develop and Deploy ML powered products and pipelines Play a central role in all stages of the data science project life cycle, including: Identification of suitable data science project opportunities Partnering with business leaders, domain experts, and end-users to gain business understanding, data understanding, and collect requirements Evaluation/interpretation of results and presentation to business leaders Performing exploratory data analysis, proof-of-concept modelling, model benchmarking and setup model validation experiments Training large models both for experimentation and production Develop production ready pipelines for enterprise scale projects Perform code reviews & optimization for your projects and team Spearhead deployment and model scaling strategies Stakeholder management and representing the team in front of our leadership Leading and mentoring by example including project scrums What We’re Looking For 2+ years of professional experience in Data Science domain Expertise in Python (Numpy, Pandas, Spacy, Sklearn, Pytorch/TF2, HuggingFace etc.) Experience with SOTA models related to NLP and expertise in text matching techniques, including sentence transformers, word embeddings, and similarity measures Expertise in probabilistic machine learning model for classification, regression & clustering Strong experience in feature engineering, data preprocessing, and building machine learning models for large datasets. Exposure to Information Retrieval, Web scraping and Data Extraction at scale OOP Design patterns, Test-Driven Development and Enterprise System design SQL (any variant, bonus if this is a big data variant) Linux OS (e.g. bash toolset and other utilities) Version control system experience with Git, GitHub, or Azure DevOps. Problem-solving and debugging skills Software craftsmanship, adherence to Agile principles and taking pride in writing good code Techniques to communicate change to non-technical people Nice to have Prior work to show on Github, Kaggle, StackOverflow etc. Cloud expertise (AWS and GCP preferably) Expertise in deploying machine learning models in cloud environments Familiarity in working with LLMs 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), IFTECH202.1 - Middle Professional Tier I (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 315682 Posted On: 2025-08-14 Location: Gurgaon, Haryana, India

About Toyota Connected If you want to change the way the world works, transform the automotive industry and positively impact others on a global scale, then Toyota Connected is the right place for you! Within our collaborative, fast-paced environment we focus on continual improvement and work in a highly iterative way to deliver exceptional value in the form of connected products and services that wow and delight our customers and the world around us. About the Team Toyota Connected India is looking for an experienced Data Scientist to develop models for predicting traffic behaviour scenarios using data from simulations and real-world sources. You’ll work on reinforcement learning, complex event detection, and probabilistic forecasting for real-time decision-making in autonomous systems and smart infrastructure Responsibilities: Design predictive models for trajectory forecasting, traffic participant’s behavior, and crossing probabilities. Develop risk scoring mechanisms using time-shifted risk prediction and sliding time windows. Implement multi-agent reinforcement learning (MARL) frameworks to simulate and train cooperative behaviors. Work with simulation teams to integrate ground truth scenarios and replayable data sets. Build scoring algorithms for different data dimensions based on the severity and impact. Evaluate model performance using precision, recall, and event-level accuracy. Collaborate with data engineers to define feature pipelines and streaming inputs. You are a successful candidate if you have 5+ years of experience in applied data science, preferably in real-time or simulation-based environments. Strong proficiency in Python, NumPy, Pandas, and deep learning frameworks like PyTorch or TensorFlow. Experience with time-series analysis, Bayesian models, or probabilistic forecasting. Understanding of reinforcement learning, especially multi-agent settings. Knowledge of vehicle kinematics, trajectory forecasting, or intelligent transportation systems. What’s in it for you? Top-of-the-line compensation! You'll be treated like the professional we know you are and left to manage your own time and workload. Yearly gym membership reimbursement & Free catered lunches. No dress codes! We trust you are responsible enough to choose what’s appropriate to wear for the day. Opportunity to build products that improve the safety and convenience of millions of customers. New cool office space and other awesome benefits! Our Core Values: EPIC Empathetic: We begin making decisions by looking at the world from the perspective of our customers, teammates, and partners. Passionate: We are here to build something great, not just for the money. We are always looking to improve the experience of our millions of customers. Innovative: We experiment with ideas to get to the best solution. Any constraint is a challenge, and we love looking for creative ways to solve them. Collaborative: When it comes to people, we think the whole is greater than its parts and that everyone has a role to play in the success! To know more about us, check out our glass door page - https://www.glassdoor.co.in/Reviews/TOYOTA-Connect

*Need Immediate joiners only Position: Data Scientist Location: Gurugram Work Mode: Hybrid Setup 8-10 years (try at least 5 years relevant) AI/ML Expertise: KNN, SVM, Random Forest, XGBoost, Recommender Systems, LSTMs, Neural Networks, NLP. 6 months -1 year on Generative AI & Agentic AI: LangChain, OpenAI models, prompt engineering, RAG pipelines. More on traditional machine learning with cloud aws exposure Understanding of statistics, Ex – Data distributions, Data drift, and hypothesis testing Experience in production level ML solutions. Ex – GIT, Modular coding and ML Pipelines Good communication skills Hands on Python Coding

About the company: With over 2.5 crore customers, over 5,000 distribution points and nearly 2,000 branches, IndusInd Bank is a universal bank with a widespread banking footprint across the country. IndusInd offers a wide array of products and services for individuals and corporates including microfinance, personal loans, personal and commercial vehicles loans, credit cards, SME loans. Over the years, IndusInd has grown ceaselessly and dynamically, driven by zeal to offer our customers banking services at par with the highest quality standards in the industry. IndusInd is a pioneer in digital first solutions to bring together the power of next-gen digital product stack, customer excellence and trust of an established bank. Job Purpose: To work on implementing data modeling solutions To design data flow and structure to reduce data redundancy and improving data movement among systems defining a data lineage To work in the Azure Data Warehouse To work with large data volume of data integration Experience With overall experience between 10 to 15 years, applicant must have minimum 8 to 11 years of hard core professional experience in data modeling for large Data Warehouse with multiple Sources. Technical Skills Expertise in core skill of data modeling principles/methods including conceptual, logical & physical Data Models Ability to utilize BI tools like Power BI, Tableau, etc to represent insights Experience in translating/mapping relational data models into XML and Schemas Expert knowledge of metadata management, relational & data modeling tools like ER Studio, Erwin or others. Hands-on experience in relational, dimensional and/or analytical experience (using RDBMS, dimensional, NoSQL, ETL and data ingestion protocols). Very strong in SQL queries Expertise in performance tuning of SQL queries. Ability to analyse source system and create Source to Target mapping. Ability to understand the business use case and create data models or joined data in Datawarehouse. Preferred experience in banking domain and experience in building data models/marts for various banking functions. Good to have knowledge of – -Azure powershell scripting or Python scripting for data transformation in ADF - SSIS, SSAS, BI tools like Power BI -Azure PaaS components like Azure Data Factory, Azure Data Bricks, Azure Data Lake, Azure Synapse (DWH), Polybase, ExpressRoute tunneling, etc. -API integration Responsibility Understanding the existing data model, existing data warehouse design, functional domain subject areas of data, documenting the same with as is architecture and proposed one. Understanding existing ETL process, various sources and analyzing, documenting the best approach to design logical data model where required Work with development team to implement the proposed data model into physical data model, build data flows Work with development team to optimize the database structure with best practices applying optimization methods. Analyze, document and implement to re-use of data model for new initiatives. Will interact with stakeholder, Users, other IT teams to understand the eco system and analyze for solutions Work on user requirements and create queries for creating consumption views for users from the existing DW data. Will train and lead a small team of data engineers. Qualifications Bachelors of Computer Science or Equivalent Should have certification done on Data Modeling and Data Analyst. Good to have a certification of Azure Fundamental and Azure Engineer courses (AZ900 or DP200/201) Behavioral Competencies Should have excellent problem-solving and time management skills Strong analytical thinking skills Applicant should have excellent communication skill and process oriented with flexible execution mindset. Strategic Thinking with Research and Development mindset. Clear and demonstrative communication Efficiently identify and solves issues Identify, track and escalate risks in a timely manner Selection Process: Interested Candidates are mandatorily required to apply through the listing on Jigya. Only applications received through Jigya will be evaluated further. Shortlisted candidates may need to appear in an Online Assessment and/or a Technical Screening interview administered by Jigya, on behalf on IndusInd Bank Candidates selected after the screening rounds will be processed further by IndusInd Bank