{"id":1226830,"url":"https://alion.io/job/idfc-senior-data-scientist-ai-labs","title":"Senior Data Scientist - AI Labs","company":{"id":1860009,"name":"IDFC","domain":"idfc.org","url":"https://alion.io/company/idfc","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mumbai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":21000,"max_usd":43000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":38},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"BERT","optional":false},{"name":"Gensim","optional":false},{"name":"Keras","optional":false},{"name":"Machine Learning","optional":false},{"name":"Matplotlib","optional":false},{"name":"NLP","optional":false},{"name":"NLTK","optional":false},{"name":"NumPy","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Seaborn","optional":false},{"name":"Sentiment Analysis","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-09-23T19:09:36Z","employer_posted_date":null,"last_verified_at":"2026-09-23T19:09:36Z","board_verified":false,"closed_at":null,"days_open":29,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":29},"description":"Job Requirements\n\nAbout the Role\n\nAs a Senior Data Scientist in the Data & Analytics function at IDFC FIRST Bank, you will play a pivotal role in leveraging advanced machine learning and statistical techniques to extract actionable insights from complex datasets. You will lead Gen AI initiatives, build predictive models, and collaborate with ML engineers to ensure seamless deployment and performance of data science solutions. This role is ideal for professionals with deep expertise in text analytics, NLP, and model development.\n\nKey Responsibilities\n\nPrimary Responsibilities\n\nLead Generative AI projects within cross-functional teams, driving innovation and business impact.\nDevelop and deploy predictive models using Python or R and libraries such as pandas, NumPy, Scikit-Learn, TensorFlow, PyTorch, or Keras.\nApply advanced machine learning algorithms and statistical modeling techniques to solve business problems.\nWork extensively with Natural Language Processing (NLP) frameworks like NLTK, SpaCy, Gensim, and transformer models (e.g., BERT, GPT).\nImplement text analytics techniques including topic modeling, sentiment analysis, and text classification.\nUtilize SQL and NoSQL databases for data extraction and management.\nCreate compelling data visualizations using tools like Matplotlib, Seaborn, or Tableau.\n\nSecondary Responsibilities\n\nContribute to multiple data analysis projects, with a strong focus on text-based data.\nBuild, validate, and deploy predictive models tailored to unstructured text datasets.\nHandle large-scale text data, including cleaning, preprocessing, and feature engineering.\nCollaborate with BI analysts and engineers to prototype and present data science solutions.\n\nWhat We Are Looking For\n\nEducation\n\nBachelor's Degreein:\nComputer Science\nStatistics\nMathematics\nEngineering\nData Science\nPostgraduate Degree(preferred) in:\nData Science\nMachine Learning\nArtificial Intelligence\nApplied Statistics\n\nExperience\n\n5-8years of relevant experiencein data science, with a strong focus on NLP, machine learning, and model deployment.\n\nSkills and Attributes\n\nProficiency in Python or R and associated data science libraries.\nStrong understanding of NLP techniques and transformer-based models.\nExperience with big data tools and handling large unstructured datasets.\nAbility to translate business problems into data science solutions.\nExcellent communication and presentation skills.\nStrong debugging and problem-solving capabilities.\nExperience working in collaborative, agile environments.\n\nKey Success Metrics\n\nTimely and error-free delivery of data science projects.\nEffective deployment and performance of predictive models.\nResolution of infrastructure and model training issues.\nTechnical leadership and innovation in Gen AI and NLP initiatives.","description_format":"text","description_chars":2785,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial 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