[Skip to main content](#main-content) [ OpenNash ](https://opennash.com/) / [Jobs](https://jobs.opennash.com/) [ 01 Search jobs](https://jobs.opennash.com/search/)[ 02 Companies](https://jobs.opennash.com/explore/)[ 03 Hiring report](https://jobs.opennash.com/reports/hiring/)[ 04 AI assistants](https://jobs.opennash.com/connect/)[ 05 How it works](https://jobs.opennash.com/methodology/) Société Générale · Bangalore, India # Lead Data Scientist Bangalore, India Contract or temporary Manager or lead Data & Analytics Listed on Société Générale’s official careers site. Posted October 26, 2026. Check that it is still open and apply there. [Apply on Société Générale’s careers site →](https://careers.societegenerale.com/en/job-offers/lead-data-scientist-26000FR4-en) [OpenNash Jobs](https://jobs.opennash.com/) / [Société Générale](https://jobs.opennash.com/companies/societe-generale/) / Lead Data Scientist ## Job description ### Lead Data Scientist Responsibilities 8 to 12 years of relevant experience, 4 years in data science domain. - Leverage strong ML and AI engineering experience in complex data environments to achieve business objectives in innovative and efficient ways. - Utilize a solid background in mathematics and statistics to guide model development, evaluation, and experimentation. - Design, architect, and develop robust machine learning and LLM-based solutions, including agentic systems and multi-agent workflows where applicable. - Develop scalable AI services and model-serving frameworks using REST APIs and FastAPI for enterprise integration. - Establish monitoring, observability, and evaluation practices for ML and LLM systems, including performance tracking, drift detection, and response quality analysis. - Define and implement end-to-end data and AI pipelines, including data ingestion, transformation, embedding generation, and vector database integration. - Collaborate effectively within Agile Scrum teams, contributing to iterative development, technical leadership, and continuous improvement. - Document business processes, system architectures, agent workflows, and technical frameworks clearly and comprehensively. - Engage in close collaboration with various domains within the organization to ensure alignment with business needs and AI strategy. - Participate in collaborative conceptualization sessions to design AI-first solutions leveraging LLMs, MCP, and agent communication protocols. - Drive the adoption of AI agents, automation frameworks, and intelligent systems across business workflows. ### Mandatory Skills - Proficiency in Python, Machine Learning, REST API development, FastAPI, and SQL. - Experience designing and deploying production-grade ML and LLM systems in enterprise environments. - Strong experience with data processing, cleansing, validation, and ensuring data integrity for analysis and model development. - Conduct data quality checks, exploratory analysis, and performance evaluation to guide model and system design. - Demonstrated expertise in building end-to-end ML pipelines, including data structures, transformations, and deployment pipelines. - Strong understanding of statistical modelling techniques such as Regression, Clustering, Decision Trees, and Logistic Regression. - Familiarity with machine learning algorithms such as KNN, Random Forests, Ensemble Methods, and probabilistic models. - Experience with Large Language Models such as GPT, BERT, or similar architectures, including prompt engineering and solution design. - Hands-on experience with vector databases, embeddings, and retrieval pipelines. - Familiarity with agent frameworks and orchestration patterns such as LangChain, Semantic Kernel, AutoGen, or similar. - Knowledge of observability and monitoring tools for AI systems, including logging, tracing, and telemetry. - Strong understanding of microservices architecture and API-first design principles. ### Preferred Skills - Experience designing and implementing AI agents, multi-agent systems, and tool-based reasoning workflows. - Familiarity with Model Context Protocol (MCP) or similar agent communication and interoperability standards. - Understanding of natural language processing (NLP) techniques and their application in enterprise use cases. - Experience with LLMOps and GenAIOps practices, including prompt versioning, evaluation, and experiment tracking. - Familiarity with advanced topics such as deep learning, transformers, fine-tuning, and reinforcement learning methods. - Ability to design technical frameworks for diverse use cases, particularly those involving language understanding and agent-based automation. - Experience building RAG pipelines and integrating knowledge retrieval systems. - Identify opportunities to automate complex workflows using LLMs, agents, and AI-driven orchestration. - Propose hypotheses and design experiments to solve business problems using ML and LLM capabilities. ### Additional Responsibilities - Stay updated with the latest advancements in machine learning, LLMs, GenAI, agentic systems, and emerging protocols. - Mentor junior team members and provide technical leadership in ML, LLM, and agent-based system design. - Contribute to the development of best practices, design standards, and reusable frameworks for ML and LLM solutions. - Drive innovation initiatives focused on AI agents, automation, and intelligent systems. - Ensure adherence to responsible AI practices, including fairness, interpretability, and governance. ## At a glance - Posted by the employer: Oct 26, 2026 - First seen by OpenNash: Nov 2, 2026 - Last checked: Nov 2, 2026 - Listed for: 7 days - Location: Bangalore, India - Employment type: Contract or temporary[Apply on Société Générale’s careers site →](https://careers.societegenerale.com/en/job-offers/lead-data-scientist-26000FR4-en) ## Hiring at Société Générale - Open jobs: 1,016 - New in the last 7 days: After two weekly collections - Tracked since: Jul 20, 2026 [All Société Générale jobs](https://jobs.opennash.com/companies/societe-generale/) · [Weekly hiring report](/reports/hiring/) ## More jobs at Société Générale ### [Analyst - POWER BI -Data Quality](https://jobs.opennash.com/companies/societe-generale/jobs/acb08eb622f08b7f0aac/) Bangalore, India ### [Analyst- Data Quality](https://jobs.opennash.com/companies/societe-generale/jobs/1cea3211c2107f73f20a/) Bangalore, India ### [Consultant Technical Lead - Data & Analytics Engineering](https://jobs.opennash.com/companies/societe-generale/jobs/56c4e93135873e600c0e/) Bangalore, India ### [Data Scientist - Data Wrangling](https://jobs.opennash.com/companies/societe-generale/jobs/c5ccdffdc39fe446c6c8/) Bangalore, India ### [Lead Data Engineer](https://jobs.opennash.com/companies/societe-generale/jobs/a0a35327e10a5e34d99a/) Bangalore, India ## Similar jobs at other companies ### [Data Scientist](https://jobs.opennash.com/companies/grasim-industries/jobs/a319a052d10205fb088f/) Grasim Industries · Maharashtra ### [Data Scientist](https://jobs.opennash.com/companies/siemens/jobs/e2267a8bfe2ac1344f96/) Siemens ### [Data Scientist](https://jobs.opennash.com/companies/accenture/jobs/2707ee5ce81fecc148d6/) Accenture OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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