Project Leader - Data Science

Mployee.me; Delhi; Vor Ort; INR 4.200.000 - 6.500.000; Vollzeit

Zusammenfassung

Bain Company in New Delhi seeks a senior Data Scientist to lead data science and AI workstreams, collaborating with business stakeholders and engineering teams to translate complex problems into scalable analytics solutions.

The role requires hands-on model development, GenAI exposure, and mentorship of junior data scientists, with emphasis on rigorous evaluation, reproducibility, and impact across diverse industries.

Qualifikationen

• 6+ years of experience in Data Science, ML, Analytics, or AI with leadership exposure.
• Hands-on model development and deployment across business problems.
• Strong foundations in statistics and practical GenAI/agentic AI knowledge.

Aufgaben

• Lead Data Science AI workstreams from problem definition to deployment.
• Develop models, evaluate approaches, and troubleshoot complex issues.
• Guide junior data scientists through mentorship and code reviews.
• Collaborate with business stakeholders and engineers to translate needs into analytics.
• Design GenAI solutions including LLMs, RAG, and tool calling with robust governance.

Kenntnisse

Data Science

Machine Learning

Advanced Analytics

AI

Leadership

Ausbildung

Bachelor's or Master's in CS/Data Science/Statistics/Math/Engineering

Tools

Python

TensorFlow

PyTorch

SQL

R

Jobbeschreibung

About us:

Bain Company is a global consultancy that helps the world s most ambitious change makers define the future. Across 65 offices in 40 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition and redefine industries. Since our founding in 1973, we have measured our success by the success of our clients, and we proudly maintain the highest level of client advocacy in the industry.

In 2004, the firm established its presence in the Indian market by opening the Bain Capability Center (BCC) in New Delhi. The BCC is now known as BCN (Bain Capability Network) with its nodes across various geographies. BCN is an integral and largest unit of (ECD) Expert Client Delivery. ECD plays a critical role as it adds value to Bains case teams globally by supporting them with analytics and research solutioning across all industries, specific domains for corporate cases, client development, private equity diligence or Bain intellectual property. The BCN comprises of Consulting Services, Knowledge Services and Shared Services.

Who you will work with

• BCN Labs is a Center of Excellence (CoE) functioning akin to a small RD boutique startup within the Bain ecosystem, delivering end-to end data-driven client deployable solutions across a wide variety of sectors and industries.
• BCN Labs work directly with other CoEs and Practices within Bain as part of the Expert Client Delivery system and interface with global teams across.
• BCN Labs is first and foremost business thought partner working on intelligent ways of using analytical techniques and algorithms across the spectrum of disciplines that can enable building world-class solutions.
• Our goal is to build a disruptive high-impact business-enabled end-to-end analytical solutions delivery system across all verticals of Bain.

About you

• A Bachelor s or Master s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field.
• 6+ years of relevant professional experience in Data Science, Machine Learning, Advanced Analytics, or AI (5+ years with a relevant Master s degree), including experience leading technical workstreams and providing technical direction and mentorship to junior Data Scientists.
• Proven hands-on experience developing Data Science and AI solutions, with strong foundations in statistical modelling and Machine Learning and meaningful hands-on exposure to Generative AI and agentic AI applications.

What you ll do

• Lead Data Science AI Workstreams: Lead Data Science and AI workstreams from problem definition and solution design through development, evaluation, and deployment, working closely with business stakeholders and engineering team
• Hands-on Data Science AI Development: Remain hands-on in developing models and prototypes, conducting technical deep-dives, troubleshooting complex problems, and reviewing critical components of solutions.
• Advanced Analytics Machine Learning: Design and guide solutions across statistical modelling, Machine Learning, forecasting, optimization, NLP, and other advanced analytics techniques, selecting appropriate approaches based on business problems and available data.
• Generative Agentic AI: Design and build GenAI solutions using LLMs, RAG, semantic search, tool calling, and agentic workflows, making informed choices across models, prompts, retrieval, context, and orchestration approaches.
• Evaluation Technical Quality: Define appropriate evaluation approaches for ML and GenAI solutions and ensure strong standards around modelling rigor, experimentation, code quality, reproducibility, and solution reliability.
• Technical Planning Problem Solving: Translate business problems into analytical workstreams, estimate and prioritize technical tasks, identify technical risks, and work with the team to resolve implementation challenges.
• Mentorship Team Leadership: Guide and mentor junior Data Scientists through technical direction, modelling and code reviews, and structured problem solving, helping them build stronger technical capabilities and operate independently.
• Stakeholder Collaboration: Work closely with business stakeholders, domain experts, and engineers to understand requirements, communicate analytical findings and technical trade-offs, and develop solutions that address real business needs.

What makes us a great place to work

We are proud to be consistently recognized as one of the worlds best places to work, a champion of diversity and a model of social responsibility. We are currently ranked the #1 consulting firm on Glassdoor s Best Places to Work list, and we have maintained a spot in the top four on Glassdoors list for the last 12 years. We believe that diversity, inclusion and collaboration is key to building extraordinary teams. We hire people with exceptional talents, abilities and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally. We are publicly recognized by external parties such as Fortune, Vault, Mogul, Working Mother, Glassdoor and the Human Rights Campaign for being a great place to work for diversity and inclusion, women, LGBTQ and parents ...

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