{"id":2995648,"url":"https://alion.io/job/schneider-electric-expert-data-scientist","title":"Expert, Data Scientist","company":{"id":1266,"name":"Schneider Electric","domain":"se.com","url":"https://alion.io/company/schneider-electric","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Jibe","truth_index":{"grade":"B","score":75,"open_postings":387,"ghost_share":0,"stale_share":0.99,"repost_share":0,"time_to_fill_p50_days":31,"computed_at":"2026-10-28T05:59:10Z"}},"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"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":24000,"max_usd":52000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":75},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Embeddings","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GitHub","optional":false},{"name":"Hugging Face","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LangSmith","optional":false},{"name":"LLM","optional":false},{"name":"LLMOps","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"NLP","optional":false},{"name":"Pandas","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Semantic Search","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-08-21T00:00:00Z","employer_posted_date":"2026-10-21","last_verified_at":"2026-10-28T17:01:59Z","board_verified":true,"closed_at":null,"days_open":68,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":68},"description":"We are seeking an Expert Data Scientist with strong experience in AI solution development with a focus onGenerative AI, / agentic AI systems.\nJoin us as a Senior Data Scientist and turn complex data into transformative business solutions. You'll lead the development of predictive models that drive strategic decisions and create measurable impact across the organization.\nAbout the Role\nYou have a proven expertise in Data Science and Machine Learning, and in generative AI and agentic AI.\nIn this role, you will lead the design and delivery of scalable, production-ready solutions using a Python and LangChain-based stack, including LangSmith and LangGraph.\nYou will also work closely with business teams to uncover insights from data and translate them into measurable impact, with a strong commitment to Responsible AI and focus on observability and monitoring of the solutions.\nResponsibilities\nSolution Development\nDesign, Implementation, Deliver, and Support AI solutions to be incorporated in products, systems and\nsolutions\nBuild and deploy LLM-powered applications, including RAG pipelines, multi agentic AI Solutions, relying on the LangChain ecosystem, including tool-using agents, multi-agent orchestration, and memory-enabled systems.\nEnsure observability on genAI/agenticAI solutions and optimal trade-off between accuracy, latency, and cost.Build reusable frameworks, APIs, and components that accelerate AI adoption across the organisation.\nEnsure reproducibility, traceability, and quality through disciplined engineering practices, including GitHub, and Markdown.\nLead code reviews and maintain high standards for coding, testing, and documentation.\nQuality and Observability\nDefine robust evaluation frameworks, including A/B testing, benchmarking, and offline/online performance metrics.\nEstablish scalable MLOps and LLMOps practices covering model lifecycle management, monitoring, governance, and deployment.\nDrive adoption of LangSmith for observability, tracing, experiment tracking, and prompt/version management.\nReserach and Innovation\nStay current on advances in LLMs, agentic AI, and the broader AI landscape, and apply them to high-value enterprise use cases.\nContribute to anticipation/upstream projects as well with technological & scientific watch, IP valorization (patents, publication)\nPromote a culture of experimentation, innovation, and responsible AI, with a focus on fairness, ethics, and trust.\nLeadership and Stakeholder Management\nTechnically lead a set of AI UC related to internal AI solutions development\nContribute to the quarterly planning and load estimation\nEscalate the risks to the AI solution leadership team\nProvide technical leadership and mentorship to data scientists and ML engineers.\nCommunicate complex AI and statistical concepts clearly to non-technical audiences through strong storytelling and visualisation.\nRequirements and Skills\nEducation\nMaster’s or PhD or exceptional candidates with a Bachelor’s degree and a strong track record will also be considered in Data Science or Computer Sciences.\nExperience\n8-12+ yearsin data science / AI roles, with demonstrated technical leadership and thought leadership.\nProven track record of building and deploying production-grade AI systems - hands-on production deployment experience is essential.\nExperience bridging applied research and scalable implementation.\nTechnical Skills\nStrong programming expertise in Python. Hands-on experience with ML/AI frameworks: scikit-learn, PyTorch/TensorFlow, Hugging Face, Pandas, SparkML.\nSolid foundation in classical machine learning, including regression, classification, clustering, feature engineering, and dimensionality reduction. \nExperience in NLP, including text analytics, embeddings, and semantic search.\nHands-on expertise in Generative AI, including LLMs, prompt engineering, RAG, and fine-tuning, familiarity with vector databases and retrieval systems.\nExperience designing agentic AI systems, including LangChain agents, multi-agent workflows, and tool integration also running agent-based AI systems in production environments.\nProficiency with the LangChain ecosystem, including LangSmith for tracing, evaluation, and observability.\nExperience of working in aws or azure cloud environment.\nWorking knowledge of databases (SQL and NoSQL).\nLeadership Competencies\nStrategic thinker with a strong innovation and experimentation mindset. \nExcellent analytical, problem-solving, and critical-thinking skills, with strong business judgement. \nStrong communication skills, with the ability to engage both technical and executive stakeholders. \nPassion for mentoring and developing technical talent. \nHigh level of ownership, accountability, and delivery focus.\nNice to Have\nContributions to research publications or patents, or meaningful open-source AI contributions - we value advancing the field, not just consuming it.\n What's in it for me?\nWork on high-visibility projects that shape organizational strategy\nOpportunities to mentor peers and grow your leadership capabilities\nAccess to advanced tools, platforms, and professional development resources\nA culture that celebrates innovation, collaboration, and technical excellence\nBring your expertise to a team that's ready to make an impact together-apply today!\n Rewards designed for you\nOur Total Rewards is our way of saying: We see you and we value you. It’s more than just pay and benefits-it’s a meaningful investment in you. It is designed to help you perform, grow, feel safe, and elevate your potential. The package helps you care for yourself and your family, plan your future, grow your skills and career, collaborate in an inclusive workplace, and contribute to your community. At Schneider Electric, we’re here for what matters most to you. Discover more at our Career Page.\n* Country-specific programs and initiatives may be available.\n Looking to make an IMPACT with your career?\nWhen you are thinking about joining a new team, culture matters. At Schneider Electric, our values and behaviors are the foundation for creating a great culture to support business success. We believe that our IMPACT values - Inclusion, Mastery, Purpose, Action, Curiosity, Teamwork - starts with us.\nIMPACT is also your invitation to join Schneider Electric where you can contribute to turning sustainability ambition into actions, no matter what role you play. It is a call to connect your career with the ambition of achieving a more resilient, efficient, and sustainable world.\nWe are looking for IMPACT Makers; exceptional people who turn sustainability ambitions into actions at the intersection of automation, electrification, and digitization. We celebrate IMPACT Makers and believe everyone has the potential to be one.\nBecome an IMPACT Maker with Schneider Electric - apply today!\n€40 billion global revenue\n+9% organic growth\n150 000+ employees in 100+ countries\n\nYou must submit an online application to be considered for any position with us. This position will be posted until filled.\nSchneider Electric aspires to be the most inclusive and caring company in the world, by providing equitable opportunities to everyone, everywhere, and ensuring all employees feel uniquely valued and safe to contribute their best. We mirror the diversity of the communities in which we operate, and ‘inclusion’ is one of our core values. We believe our differences make us stronger as a company and as individuals and we are committed to championing inclusivity in everything we do. \nAt Schneider Electric, we uphold the highest standards of ethics and compliance, and we believe that trust is a foundational value. Our Trust Charter is our Code of Conduct and demonstrates our commitment to ethics, safety, sustainability, quality and cybersecurity, underpinning every aspect of our business and our willingness to behave and respond respectfully and in good faith to all our stakeholders. You can find out more about our Trust Charter here\n\nSchneider Electric is an Equal Opportunity Employer. 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