{"id":2616575,"url":"https://alion.io/job/societe-generale-lead-data-scientist","title":"Lead Data Scientist","company":{"id":1760180,"name":"Société Générale","domain":"societegenerale.com","url":"https://alion.io/company/societegenerale-com","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career sitemap","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","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":31000,"max_usd":53000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":16},"experience_years_min":9,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"Embeddings","optional":false},{"name":"Hallucination","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"RAG","optional":false},{"name":"Recommender Systems","optional":false}],"status":"live","first_seen_at":"2026-09-01T00:00:00Z","employer_posted_date":"2026-09-01","last_verified_at":"2026-10-16T23:31:15Z","board_verified":true,"closed_at":null,"days_open":46,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":46},"description":"Responsibilities\n\n Machine Learning & Data Science\nLead the design, development, and deployment of advanced Machine Learning solutions to solve complex business and operational challenges.\nDevelop and optimize models across areas such as classification, clustering, anomaly detection, forecasting, recommendation systems, and predictive analytics.\nDrive the full model lifecycle from data exploration and feature engineering through experimentation, evaluation, deployment, and monitoring.\nDefine model performance metrics, validation frameworks, and success criteria to ensure business relevance and measurable impact.\nIdentify opportunities to leverage data and AI to improve operational efficiency, automation, decision-making, and user experience.\nGuide best practices in statistical analysis, experimentation, model governance, and AI quality assurance.\nMentor and provide technical leadership to Data Scientists and AI practitioners across the organization.\nGenerative AI & Agentic AI\nLead the design and implementation of Generative AI solutions leveraging Large Language Models (LLMs), embeddings, Retrieval Augmented Generation (RAG), and multi-agent architectures.\nDevelop AI agents capable of reasoning, planning, knowledge retrieval, and task orchestration within complex enterprise environments.\nEvaluate emerging AI technologies, models, and frameworks to identify opportunities for innovation and business value creation.\nDesign and optimize prompt engineering, evaluation methodologies, guardrails, and AI safety mechanisms.\nDefine architectures for agentic systems integrating enterprise data, business workflows, APIs, and knowledge repositories.\nEstablish evaluation frameworks to measure accuracy, reliability, explainability, and operational readiness of GenAI and Agentic AI solutions.\nDrive proof-of-concepts and pilot initiatives from ideation through industrialization and production adoption.\n\n Profile required\n\n Education & Experience\n9+ years of experience in Data Science, Machine Learning, or Applied AI roles.\nProven experience leading end-to-end AI initiatives from experimentation through production deployment.\nDemonstrated ability to translate business challenges into scalable AI solutions.\nExperience mentoring Data Scientists and providing technical leadership across projects.\nMachine Learning & Data Science Expertise\nStrong expertise in supervised and unsupervised learning techniques, including classification, clustering, anomaly detection, forecasting, and recommendation systems.\nDeep understanding of statistical modeling, hypothesis testing, experimental design, and data analysis.\nExperience developing, evaluating, and optimizing machine learning models in production environments.\nStrong knowledge of feature engineering, model explainability, model monitoring, and performance evaluation.\nExperience working with large-scale structured and unstructured datasets.\nGenerative AI & Agentic AI Expertise\nHands-on experience building Generative AI solutions using Large Language Models (LLMs).\nStrong understanding of Retrieval-Augmented Generation (RAG), embeddings, vector databases, prompt engineering, and evaluation methodologies.\nExperience designing and implementing AI agents, multi-agent systems, and autonomous workflows.\nExperience integrating LLMs with enterprise systems, APIs, business applications, and knowledge repositories.\nUnderstanding of AI guardrails, responsible AI principles, hallucination mitigation, and AI governance requirements.\nExperience evaluating and selecting foundation models based on business, technical, and operational 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shot","p_open":1,"p_active":0.52,"p_room":0.28,"age_days":45,"expected_fill_days":17,"reasons":["conf:2","win:tail","crowd:brand"],"computed_at":"2026-10-16T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/societe-generale-lead-data-scientist","json_url":"https://alion.io/job/societe-generale-lead-data-scientist.json","meta":{"generated_at":"2026-10-17T03:56:18Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per 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