Principal Data Scientist

Persistent Systems
Pune Division, Maharashtra, India

About Persistent

We are an AI-led, platform-driven Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what’s next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world, including 20 Fortune 50 companies and 4 of the 5 top banks in both the US and India, and numerous innovators across the healthcare ecosystem.

Our disruptor’s mindset, commitment to client success, and agility to thrive in the dynamic environment have enabled us to sustain our growth momentum. Persistent has been recognized across top industry platforms for innovation, leadership, and inclusion. We reported $1,654.4M FY26 revenue with 17.4% Y-o-Y growth. We have delivered 24 sequential quarters of growth with $436.0M in Q4 FY26 revenue, up 3.2% Q-o-Q and 16.2% Y-o-Y growth. Our 27,500+ global team members, located in 18 countries, have been instrumental in helping the market leaders transform their industries. We have been recognized as the Fastest Growing IT Services Brand Globally in the 2026 Brand Finance IT Services 25 Report. We named a Leader in the Everest Group Private Equity (PE) Services PEAK Matrix® Assessment 2026 and Software Product Engineering PEAK Matrix® Assessment 2026.

About Position

As the Lead Data Scientist, you will define the enterprise AI vision and spearhead research-to-production initiatives across Generative AI, LLM fine-tuning, and agentic AI systems—delivering measurable business outcomes at scale through strong technical leadership, governance, and cross-functional influence.

  • Role: Principal Data Scientist
  • Location: Pune
  • Experience: 15+ years
  • Job Type: Full Time Employment

What You'll Do

  • Own and evolve the organization’s AI/ML strategy and multi-year roadmap, identifying high-impact opportunities across generative AI, large language models, multimodal systems, and autonomous/agentic workflows
  • Lead, coach, and grow a high-performing data science organization (hiring, mentoring, performance development), setting technical standards and career paths for senior ICs and managers
  • Set research and engineering priorities across model development, fine-tuning (SFT/RLHF/RLAIF), retrieval-augmented generation, evaluation, and agent architectures—balancing innovation, risk, and time-to-value
  • Define target-state architecture for AI platforms (MLOps/LLMOps, feature store, model registry, observability), ensuring security, privacy, compliance, and responsible AI practices
  • Partner with product, engineering, legal, security, and business leaders to translate ambiguous problems into scalable AI solutions with clear success metrics and adoption plans
  • Establish best practices for experimentation, model risk management, evaluation benchmarks, and production monitoring (quality, latency, cost, drift), enabling reliable and repeatable delivery
  • Represent the organization with executive presence in client forums, industry conferences, and academic partnerships; contribute to thought leadership, patents, and publications where relevant

Expertise You'll Bring

  • Master’s / PhD or BTech in Computer Science, Data Science, Machine Learning, or a related field (or equivalent, demonstrable industry expertise)
  • 8+ years building and shipping ML systems, with significant experience leading large, cross-functional AI teams and influencing product/engineering roadmaps
  • Deep expertise in generative AI and foundation models, including prompt engineering, RAG, fine-tuning, evaluation, and agentic architectures; strong grasp of reinforcement learning concepts and trade-offs
  • Proven experience designing and operating enterprise ML/GenAI platforms (MLOps/LLMOps), scaling training/inference, optimizing cost and latency, and ensuring reliability and observability in production
  • Strong record of innovation (publications/patents/open-source contributions) and/or demonstrable industry impact through successful delivery of AI products at scale
  • Exceptional communication and stakeholder management skills—able to align executives and delivery teams, explain complex topics clearly, and drive decisions through crisp narratives and data

Benefits

  • Competitive salary and benefits package
  • Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications
  • Opportunity to work with cutting-edge technologies
  • Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards
  • Annual health check-ups
  • Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents

Values-Driven, People-Centric & Inclusive Work Environment

Persistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.

  • We support hybrid work and flexible hours to fit diverse lifestyles.
  • Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.
  • If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment

Let’s unleash your full potential at Persistent - persistent.com/careers

“Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.”

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Questions about this job

How do I apply for the Principal Data Scientist job at Persistent Systems?

Use the apply link on this page: you apply directly with Persistent Systems on LinkedIn. Before you do, score your resume against this job description on Fitboard. It shows which skills and keywords the job asks for that your resume doesn't show, so you can fix them first.

What skills does Persistent Systems want for this Principal Data Scientist role?

The job description asks for Master’s / PhD or BTech in Computer Science, Data Science, Machine Learning, or a related field, 8+ years building and shipping ML systems, Deep expertise in generative AI and foundation models, Proven experience designing and operating enterprise ML/GenAI platforms and Exceptional communication and stakeholder management skills. Make sure your resume shows the ones you have, in the words the job uses: applicant tracking systems look for them.

How can I get a job at Persistent Systems?

Apply to the Persistent Systems roles that match your experience, and tailor your resume to each job description: for this role that means showing Master’s / PhD or BTech in Computer Science, Data Science, Machine Learning, or a related field, 8+ years building and shipping ML systems, Deep expertise in generative AI and foundation models. A resume that matches the job's own keywords is more likely to get past screening. Fitboard scores your resume against this exact job for free.

Is this Principal Data Scientist job remote or onsite?

This is based in Pune Division, Maharashtra.

Is it free to apply? Does Fitboard charge anything?

Applying is free: you apply directly with Persistent Systems, and this job page and its apply link cost nothing. Checking your resume against this job is free too, with 3 free scans when you sign in and no credit card needed.

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