{"id":1227333,"url":"https://alion.io/job/uberlife-consulting-data-scientist","title":"Data Scientist","company":{"id":3800217,"name":"Uberlife Consulting","domain":"silverpeople.in","url":"https://alion.io/company/uberlife-consulting","size_band":null,"is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"middle","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"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":16000,"max_usd":39000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":13},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Anthropic","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"Claude","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GCP","optional":false},{"name":"Hallucination","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Reranking","optional":false},{"name":"Scikit-learn","optional":false},{"name":"TensorFlow","optional":false},{"name":"Tool Use","optional":false},{"name":"Vertex AI","optional":false},{"name":"LLM","optional":true},{"name":"Recommender Systems","optional":true}],"status":"live","first_seen_at":"2026-09-24T14:09:16Z","employer_posted_date":null,"last_verified_at":"2026-09-24T14:09:16Z","board_verified":false,"closed_at":null,"days_open":7,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":7},"description":"Job Description :\n\nWhat you'll work on :\n\n- Building and owning a conversational AI research assistant for retail investors in Indian capital markets, think Claude but specialized for different instruments and macro analysis for non-expert users\n\n- Designing multi-agent agentic pipelines with tool-calling, memory management, and multi-turn conversational flows that handle real, messy, incomplete queries from retail users (not just clean, structured prompts from analysts)\n\n- RAG pipeline architecture : source curation, chunking strategy, embedding quality, retrieval tuning, reranking, and citation-grounded responses that retail users can trust\n\n- Integrating real-time financial data sources (NSE/BSE feeds, Screener, Tickertape, news APIs, company filings) as live tool-callable data layers, not just static retrieval\n\n- Building the guardrails and evaluation layer : domain scoping, hallucination mitigation, confidence scoring, and monitoring to ensure the system stays accurate and within bounds over time\n\n- Fine-tuning or adapting LLMs where retrieval alone isn't sufficient\n\n- Building ML models for user behaviour, personalization, and financial insights that feed into the conversational layer\n\nExpectations :\n\n- Understanding of large language models (LLMs) like LLAMA, Anthropic Claude 3, or Sonnet.\n\n- Familiarity with cloud platforms for data science like AWS Bedrock and GCP Vertex AI\n\n- Strong proficiency in Python and data science libraries (scikit-learn, TensorFlow, PyTorch).\n\n- Solid understanding of statistical methods, machine learning algorithms, and wealth tech applications.\n\n- Experience in data wrangling, visualization, and analysis.\n\n- Collaborative mindset and ability to thrive in a fast-paced startup environment.\n\nBonus points :\n\n- Experience in capital market usecases\n\n- Familiarity with recommender systems and personalization techniques.\n\n- Experience building and deploying production models.\n\n- Data science project portfolio or contributions to open-source libraries.\n\n- Experience with embedding models and retrieval quality improvement\n\n- Worked at an AI-first startup in any domain\nSkills\nData Science, Data Scientist, Conversational AI, LLM, Machine Learning, Python, Tensorflow","description_format":"text","description_chars":2230,"description_truncated":false,"requirements":{"experience_years_min":4,"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":[],"lifecycle":[{"event":"open","at":"2026-09-25T13:06:44Z"}],"liveness":{"score":48,"band":"ok","label":"Likely open","p_open":1,"p_active":0.511,"p_room":0.945,"age_days":6,"expected_fill_days":18,"reasons":["seen:6","agency","velocity","win:mid"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/uberlife-consulting-data-scientist","json_url":"https://alion.io/job/uberlife-consulting-data-scientist.json","meta":{"generated_at":"2026-10-02T00:03:46Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":16,"day_limit":5000,"remaining_today":4984,"minute_limit":60,"resets_at":"2026-10-03T00:00:00Z"}}}