{"id":3281793,"url":"https://alion.io/job/idfc-first-bank-sr-data-scientist-chatbots-2","title":"Sr. Data Scientist (Chatbots)","company":{"id":720227,"name":"IDFC FIRST Bank","domain":"idfcfirst.bank.in","url":"https://alion.io/company/idfcfirst","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India","Mumbai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":21000,"max_usd":46000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":75},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"BERT","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":"2026-10-26T16:35:00Z","employer_posted_date":null,"last_verified_at":"2026-10-26T16:35:00Z","board_verified":false,"closed_at":null,"days_open":5,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":5},"description":"In this specialized role, you will leverage your expertise in machine learning and statistics to derive valuable insights from data. Your role will include developing predictive models, interpreting data, and working closely with our ML engineers to ensure the effective deployment and functioning of these models.\n\nResponsibilities: \nLead the development and implementation of advanced chatbot solutions.\nCollaborate with cross-functional teams to identify and prioritize business requirements.\nDevelop, test, and deploy predictive models for chatbot applications.\nEnsure the timely delivery of high-quality, error-free models and solutions.\nTroubleshoot and resolve issues related to training infrastructure and model deployment.\nMentor and guide junior data scientists and engineers.\n\nRequirements: \nProficient in building chatbots and experience in working with GenAI.\nProficiency in Python or R, and experience with data science libraries like pandas, NumPy, Scikit-Learn, TensorFlow, PyTorch, or Keras.\nStrong understanding of machine learning algorithms and statistical modeling.\nFamiliarity with Natural Language Processing (NLP) libraries and frameworks such as NLTK, SpaCy, or Genism.\nExperience with transformer models (BERT, GPT, etc. ) can be a plus.\nExperience with text analytics techniques such as topic modeling, sentiment analysis, text classification, etc.\nUnderstanding of SQL and NoSQL databases.\nFamiliarity with data visualization tools like Matplotlib, Seaborn, or Tableau.\nShould have been part of multiple data analysis projects, ideally with a significant focus on text analytics.\nExperience in building, validating, and deploying predictive models based on text data.\nExperience in handling large text datasets, cleaning, and processing text data for machine learning tasks.\nSkills\nGenAI, Python, R, chatbot, chatbots, generative 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