Senior Data Scientist

Senior Data Scientist Duration: Full Time Join one of the largest IT Services companies in the world to transform your career as a Senior Data Scientist. Key Responsibilities Design and develop statistical and predictive models for credit risk and financial analysis Apply machine learning techniques to improve decision‑making across credit products Analyze, manipulate, and interpret large datasets to identify trends and insights Continuously improve analytical models and propose innovative solutions Collaborate with cross‑functional teams to align analytics with business goals Translate complex data findings into clear, actionable insights Required Qualifications Bachelor’s degree in Statistics, Mathematics, Engineering, Physics, or related fields Strong knowledge of statistics, data science, and machine learning concepts Proven experience in predictive modeling and data analysis Proficiency in Python and/or R for analytics and model development Solid understanding of the credit lifecycle and financial products (loans, credit cards) Experience working with large datasets and data‑driven environments Mandatory Skills Extensive experience in Python, Machine Learning, and advanced knowledge of AWS components to lead data analytics projects and the development of scalable solutions. Technologies such as Deep Learning and GenAI will be considered a plus. Education: Bachelor’s degree in Computer Science, Engineering, Statistics, Mathematics, or related fields. Advanced programming in Python (Pandas, NumPy, Scikit‑learn). Development and implementation of Machine Learning models at scale. Solid experience with AWS components (S3, Lambda, SageMaker, EC2, IAM). Experience in technical leadership or team mentoring. Additional Skills Handling large volumes of data. Knowledge of SQL and relational/non‑relational databases. Best practices in MLOps and CI/CD for models. Lead the design, development, and implementation of Machine Learning models for complex applications. Structure robust and scalable data pipelines, ensuring quality and performance. Define architecture and integrate solutions with AWS services (S3, Lambda, SageMaker, EC2, IAM). Act as a technical reference, guiding teams and ensuring best practices. Collaborate with stakeholders to translate needs. Business development in data‑driven solutions. Document processes and promote standards for versioning, testing, and deployment. Experience with Deep Learning (TensorFlow, PyTorch). Knowledge of GenAI (LLMs, Prompt Engineering, APIs such as OpenAI, HuggingFace). Experience with multimodal models. Benefits & Perks Health insurance Life insurance Gympass TCS Cares – free 0800 that provides psychological assistance (24 hrs/day), legal, social and financial assistance to associates Partnership with SESC Reimbursement of Certifications Free TCS Learning Portal – Online courses and live training International experience opportunity Discount Partnership with Universities and Language Schools Bring Your Buddy – By referring people you become eligible to receive a bonus for each hire TCS Gems – Recognition for performance Xcelerate – Free Mentoring Career Platform Tata Consultancy Services is an equal opportunity employer. We promote an inclusive culture that respects diversity in all its forms, including gender, sexuality, race, ethnicity, disability, religion and age. We encourage everyone who meets the required knowledge and competency needs to apply. At Tata Consultancy Services we promote an inclusive culture, we always work for equity. This applies to Gender, People with Disabilities, LGBTQIA+, Religion, Race, Ethnicity. All our opportunities are based on these principles. We think of different actions of inclusion and social responsibility, in order to build a TCS that respects each person. Our motto is Inclusion without exception. #J-18808-Ljbffr