We are hiring for a Senior Data Scientist II

Location: Bengaluru, India | Work Style: Hybrid (2 days/week in office) | Experience: 8+ years

About the Role:

We're on a journey to put AI at the center of how strategic decisions are made, and we're looking for a Senior Data Scientist to help lead the way.

You'll work on real, in-production AI experiences like Planview Anvi, used by enterprises to turn complex portfolios of work into clear, confident action. You'll join a team thinking years ahead about where AI and enterprise work are going, with the ownership to turn that vision into products customers rely on every day.

What You'll Work On:

- Natural language interaction — building systems that let users simply ask, and get instant, trustworthy insights
- Proactive intelligence — developing models that surface risks and opportunities before they surface themselves
- Adaptive decisioning — helping teams adjust course in real time as conditions change

Why This Role:

Most data science roles are about building models. This one is about building the intelligence layer that an entire category of enterprise software is being rebuilt around.

At Planview, we help the world's largest organizations plan and deliver their most key work, and we're in the middle of a multi-year push to put AI at the core of how those decisions get made.

As a Senior Data Scientist based in Bengaluru, you'll be hands-on shaping AI experiences already in production and used by real enterprises — like Planview Anvi — while helping define what comes next.

- Real users, real scale: your work ships to enterprise customers managing billions of dollars of work — not a demo, not a backlog experiment
- Frontier problems: natural-language interfaces over messy enterprise data, models that flag risk before humans see it, and systems that adapt plans as reality shifts
- Ownership, not hand-offs: you'll influence direction, not just execute tickets — senior enough to shape the roadmap, close enough to the product to see your work land
- A team playing the long game:



we're building for where enterprise AI is going over the next several years, and want someone who wants to help steer that

Responsibilities:

- Enable Data Science features within Planview applications, working in a fast-paced startup mindset
- Collaborate closely with product management to enable Data Science features that deliver significant value to customers, ensuring these features are also optimized for operational efficiency
- Manage every stage of the AI/ML development lifecycle, from initial concept through deployment in a production environment
- Design and implement optimization models (e.g., resource-constrained scheduling, portfolio/project selection, simulation-based decision support) to solve complex planning and allocation problems at enterprise scale
- Contribute to agentic AI features — forecasting, risk-scoring, and recommendation models that power AI agents embedded in Planview products
- Provide leadership to other Data Scientists by exemplifying exceptional quality in work, nurturing a culture of continuous learning, and offering daily guidance in their research endeavors
- Effectively communicate ideas drawn from complex data with clarity and insight

Required Qualifications:

- Master’s degree in operations research, Statistics, Computer Science, Data Science, or a related field
- 8+ years of experience as a data scientist, data engineer, or ML engineer
- Demonstrable history bringing Data Science features to enterprise applications
- Exceptional Python and SQL coding skills — production-grade, not notebook-only
- Strong grounding in optimization (linear/integer programming, simulated annealing, heuristics, or similar) alongside Machine Learning, Generative AI, NLP, Statistics, and Simulation




- Experience with AWS Data and ML technologies (SageMaker, Glue, Athena, Redshift)
- Experience designing and building tool/service interfaces that other systems (including AI agents) can invoke reliably — API/service contract design, schema definition, and testing discipline
- Working understanding of agentic AI system architecture — how agents discover and call tools, how actions are scoped and tracked, and how outputs feed back into planning workflows.

Preferred Qualifications

- Experience working with datasets in the domain of project management, software development, and resource planning
- Experience with common data science libraries and frameworks (Scikit-learn, TensorFlow, PyTorch)
- Experience with ML platform tools (AWS SageMaker)
- Hands-on experience with MCP (Model Context Protocol) or similar tool-calling/agent-orchestration standards (e.g., A2A, LangChain tool interfaces)
- Experience with LLM orchestration frameworks (LangChain, LlamaIndex) and vector database experience (Pinecone, Weaviate, OpenSearch)
- Exposure to evaluation frameworks for GenAI features
- Prior experience mentoring or leading data scientists
- Comfortable working as part of a global, diverse workforce of high-performing individuals
- AWS Certification is a plus

Team & Culture:

You'll join a global, distributed Data Science team spanning Bengaluru and Austin. We move fast, ship real AI to real enterprise users, and go all-in on agentic systems — without taking ourselves too seriously. Startup speed, prototype-to-production mindset, and a genuine focus on having fun while we build.

Growth:

This role offers a clear path to grow into a Principal Data Scientist as you take on greater scope and impact.

Interview Process:



Our process typically includes an initial conversation to assess fit, a technical assessment, one or more in-depth technical/case discussions, and final conversations with cross-functional stakeholders.

Skills:- Python, SQL, Optimization, Generative AI, Deep Learning and Amazon Web Services (AWS)

📌 Sr. Data Scientist II - Bengaluru - Hybrid
🏢 Planview
📍 Bengaluru