Data Scientist

Open Insights; Maharashtra; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

Open Insights seeks Data Scientists specialized in Generative AI and Large Language Models to help generate creative and insightful content for clients in India. The role emphasizes deep GenAI knowledge, architectural advisory, and hands-on MLOps experience across customer engagements.

The candidate will lead stakeholder discussions, design strategic roadmaps, and guide teams through GenAI projects while onsite for customer workshops. Strong communication and problem-solving are essential.

Qualifications

• Proficiency in Python or R and SQL for data analysis and modeling.
• Strong foundation in statistics and hypothesis testing.
• Hands-on experience with machine learning techniques and deployment.
• Deep knowledge of Large Language Models (LLMs) and practical use in GenAI.
• Excellent verbal and written communication, with client-facing experience.
• Ability to learn new technologies and data manipulation techniques quickly.
• Ability to translate business context into practical AI solutions.
• Strong problem-solving skills with focus on product development.

Responsibilities

• Lead discussions with C-level stakeholders and drive consensus.
• Create strategic roadmaps for GenAI initiatives for customers.
• Coordinate and guide data scientists through projects and engagements.
• Plan and conduct customer workshops; present findings clearly.
• Influence across organizational levels with credibility and confidence.
• Articulate complex GenAI concepts and recommended solutions.
• Drive engagements related to GenAI architecture analysis and discovery.
• Review customer data materials, conduct interviews, and extract goals and scope.

Skills

Python

R

SQL

Statistics

Machine Learning

LLMs

Communication

Problem Solving

Business Acumen

Lean/Iterative Deployment

Customer-facing delivery

Education

Master’s degree in ML/Statistics/Math/CS/AI

Industry certifications e.g. Nvidia/Dell/K8/RHEL

Tools

cnvrg.io

MLflow

Domino

Hadoop

Spark

Job 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.

Responsibilities

• 5+ 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.
• Deep 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.
• Understanding of the GenAI tooling ecosystem including knowledge and experience of Kubernetes, MLOps and AIOps tools.
• Ability to gain customer trust, plan, organize and drive customer workshops and present findings back to the customer in a coherent, concise, and persuasive way.
• Ability to influence and interact with confidence and credibility at all levels with our customers, partners, and vendors.
• Ability to articulate complex concepts, build consensus and deliver high quality work products.
• Ability to drive engagements related to GenAI architectural analysis, benefits analysis, and discovery.
• The ability to:
  • Receive 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.
  • Review questionnaire responses, conduct stakeholder interviews, and discussions with subject‑matter experts (SMEs) within the Customer’s organization.
  • Gather information relating to the overall goals and objectives of the organization and their applicability to IT projects and initiatives.
• Proven experience with client facing professional services delivery from presentations, documentation, workshops, and interviews to full scale enterprise‑wide technology services delivery.
• Experience working on project teams within a defined methodology while adhering to margin, planning and SOW requirements.
• Ability to be onsite during customer workshops.

Skills And Requirements

• Proficiency with statistical computer languages such as R or Python.
• Proficiency with relational database systems (SQL) and object‑based data stores.
• Advanced applied statistics skills, such as distributions, statistical testing, regression, etc.
• Professional experience with machine learning techniques and how to apply them in real‑world scenarios.
• Excellent verbal and written communication skills.
• Drive to learn new technologies, statistical methods and data manipulation techniques.
• Understand business context and challenges and articulate practical solutions.
• Strong problem‑solving skills with an emphasis on product development.
• Experience and deep knowledge of Large Language Models (LLM).
• Hands‑on experience with MLOps and AIOps tools such as cnvrg.io, mlfow and Domino.
• Experience using Lean and Iterative Deployment Methodologies.

Preferred

• Master’s degree in Machine Learning, Statistics, Mathematics, Computer Science or Artificial Intelligence.
• In possession of relevant industry certifications e.g. Nvidia, Dell, K8 and RHEL.
• Experience with distributed data systems such as Apache Hadoop or Apache Spark.
• Expertise in analyzing large, complex, multi‑dimensional datasets with a variety of tools.
• Familiarity with Agile / Scrum development practices.
• Immediate joiners are preferred.