{"id":3568842,"url":"https://alion.io/job/openinsights-data-scientist","title":"Data Scientist","company":{"id":3787710,"name":"OpenINSIGHTS","domain":"openinsights.ci","url":"https://alion.io/company/openinsights","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":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":20000,"max_usd":43000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":75},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AIOps","optional":false},{"name":"Hadoop","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Scrum","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-30T17:21:42Z","employer_posted_date":null,"last_verified_at":"2026-10-30T17:21:42Z","board_verified":false,"closed_at":null,"days_open":7,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":7},"description":"Open Insights is looking for Data Scientists specializing in Generative AI and LLM's (Large Language Models) and has a unique skill set that focuses on harnessing the power of advanced AI techniques to generate creative and insightful content.\n\nResponsibilities\n\n5+ years of experience working in the fields of Artificial Intelligence and Big Data with 3+ years of progressive professional growth in a customer-facing services delivery role. Ability to lead discussions with C-level customer roles and drive consensus with these audiences. Ability to create strategic roadmaps for customers in this space. Ability to engage data scientists to explore their existing and future ecosystem.\nDeep knowledge of Generative AI, specifically model selection, data preparation for GenAI training, model fine tuning and customization and guardrail implementation. Ability to perform an advisory role on customer engagements in this space.\nUnderstanding of the GenAI tooling ecosystem including knowledge and experience of Kubernetes, MLOps and AIOps tools.\nAbility to gain customer trust, ability to plan, organize and drive customer workshops and ability to present findings back to the customer in a coherent, concise, and persuasive way.\nAbility to influence and interact with confidence and credibility at all levels with our customers, partners, and vendors.\nAbility to articulate complex concepts, build consensus and deliver high quality work products.\nAbility to drive engagements related to GenAI architectural analysis, benefits analysis, and discovery.\nThe ability to:\nReceive and review configuration material related to the in-scope areas to gain a clear understanding of the current data and analytics environment that might relate to GenAI use cases.\nReview questionnaire responses, conduct stakeholder interviews, and discussions with subject-matter experts (SMEs) within the Customer's organization.\nGather information relating to the overall goals and objectives of the organization,\nand their applicability to IT projects and initiatives.\nProven experience with client facing professional services delivery from presentations, documentation, workshops, and interviews to full scale enterprise-wide technology services delivery.\nExperience working on project teams within a defined methodology while adhering to margin, planning and SOW requirements.\nAbility to be onsite during customer workshops.\n\nSkills And Requirements\n\nProficiency with statistical computer languages such as R or Python.\nProficiency with relational database systems (SQL) and object-based data stores.\nAdvanced applied statistics skills, such as distributions, statistical testing, regression, etc.\nProfessional experience with machine learning techniques and how to apply them in real-world scenarios.\nExcellent verbal and written communication skills.\nDrive to learn new technologies, statistical methods and data manipulation techniques.\nUnderstand business context and challenges and articulate practical solutions.\nStrong problem-solving skills with an emphasis on product development\nExperience and deep knowledge of Large Language Models (LLM).\nHands-on experience with MLOps and AIOps tools such as cnvrg.io, mlfow and Domino.\nExperience using Lean and Iterative Deployment Methodologies.\n\nPreferred\n\nMaster's degree in Machine Learning, Statistics, Mathematics, Computer Science or Artificial Intelligence.\nIn possession of relevant industry certifications e.g. Nvidia, Dell, K8 and RHEL.\nExperience with distributed data systems such as Apache Hadoop or Apache Spark.\nExpertise in analyzing large, complex, multi-dimensional datasets with a variety of tools.\nFamiliarity with Agile / Scrum development practices.\nImmediate joiners are preferred\n\nApply Now\n\n[HIDDEN 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