Senior Data Scientist

Senior Data ScientistDuration: Full TimeKey ResponsibilitiesDesign and develop statistical and predictive models for credit risk and financial analysisApply machine learning techniques to improve decision-making across credit productsAnalyze, manipulate, and interpret large datasets to identify trends and insightsContinuously improve analytical models and propose innovative solutionsCollaborate with cross-functional teams to align analytics with business goalsTranslate complex data findings into clear, actionable insightsRequired QualificationsBachelor's degree in Statistics, Mathematics, Engineering, Physics, or related fieldsStrong knowledge of statistics, data science, and machine learning conceptsProven experience in predictive modeling and data analysisProficiency in Python and/or R for analytics and model developmentSolid understanding of the credit lifecycle and financial products (loans, credit cards)Experience working with large datasets and data-driven environmentsMandatory SkillsExtensive 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 skillsHandling 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.Key WordsPython, Machine Learning; components AWSWhat do we offer?Health insuranceLife insuranceGympassTCS Cares – free **** that provides psychological assistance (24 hrs/day), legal, social and financial assistance to associatesPartnership with SESCReimbursement of CertificationsFree TCS Learning Portal – Online courses and live trainingInternational experience opportunityDiscount Partnership with Universities and Language SchoolsBring Your Buddy – By referring people you become eligible to receive a bonus for each hireTCS Gems – Recognition for performanceXcelerate – Free Mentoring Career PlatformEqual Employment Opportunity StatementTata Consultancy Services is an equal opportunity employer, our commitment to diversity & inclusion drives our efforts to provide equal opportunity to all candidates who meet our required knowledge & competency needs, irrespective of any socio-economic background, race, color, national origin, religion, sex, gender identity/expression , age, marital status, disability, sexual orientation or any others.We encourage anyone interested to build a career in TCS to participate in our recruitment & selection process.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-*****-Ljbffr