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Lead enterprise data science initiatives at BCG, shaping AI and Generative AI solutions across global teams.
Join as Global Data Science Senior Manager – Chapter Lead from Gurgaon, driving analytics innovation and mentorship.
Who We Are
Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact.
To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures—and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive.
What You'll Do
Enterprise Data Science using Python, with hands-on experience in GenAI, LLMs, and Agents. This is a heavily hands-on role — a significant portion is individual contributor work across AI and Agent initiatives — combined with the leadership people management and senior stakeholder engagement needed to drive enterprise outcomes. Strong technical depth is essential. You will contribute hands-on to enterprise-scale Data Science, AI, and Agent initiatives — solving complex business problems ,while also mentoring team members and partnering with senior stakeholders to drive high-impact outcomes.
Key Responsibilities
- Develop and deploy data science models using Python
- Apply machine learning and statistical techniques to solve business problems
- Work on use cases across predictive modeling, analytics, and NLP
- Translate business needs into scalable AI solution designs and delivery plans
- Collaborate with cross-functional teams to deliver data-driven solutions
- Mentor junior team members and contribute to capability building
- Engage with senior stakeholders to translate business needs into analytical solutions
What You'll Bring
- 7–12 years of experience in AI/ML, Data Science, and Advanced Analytics in enterprise application.
- Strong hands-on proficiency in Python for data science and problem solving
- Solid foundation in machine learning and statistical techniques (e.g., regression, classification, NLP)
- Practical experience building and deploying AI/ML or GenAI and Agentic solutions at scale.
- Exposure to GenAI / LLM use cases (e.g., RAG, NLP applications)
- Ability to translate business problems into data-driven solutions
- Experience working with real-world datasets and deploying models in practice
- Exposure to cloud and data platforms (e.g., AWS, Snowflake) – good to have
- Familiarity with data visualization tools (e.g., Tableau, Power BI)
- Experience mentoring or leading small teams
- Strong communication skills and ability to work with senior stakeholders
- Ability to clearly articulate past work and demonstrate strong understanding of core data science concepts
Who You'll Work With
You’ll be part of Knowledge Data & Analytics team within the Knowledge portfolio, collaborating with global stakeholders across functions and regions. The role will be based in Gurugram as part of the larger Data & Analytics group, which supports multiple functions across BCG by driving data strategy, analytics innovation, and AI-enabled capabilities.
In this role, you’ll work closely with internal stakeholders to design and deliver data-driven, visualization, and innovation solutions that enhance decision-making, optimize processes, and create measurable business impact across the firm.
Additional info
YOU’RE GOOD AT
- Leading and inspiring technical teams — you foster collaboration, clarity, and accountability across diverse, global teams of data scientists, engineers, and analysts.
- Bridging strategy and execution — you can define data and AI vision while remaining hands‑on in technical delivery, ensuring that architecture and solutions meet real business needs.
- Applying deep technical expertise — you bring strong knowledge of data science, machine learning, large language models (LLMs), and generative AI frameworks (e.g., LangChain), with hands‑on experience in prompt engineering and retrieval‑augmented generation (RAG) techniques.
- Designing and scaling AI solutions — you understand how to design, optimize, and scale AI and data solutions on AWS, GCP, and Azure, leveraging modern cloud architectures and MLOps best practices.
- Designing for scalability and performance — you’re experienced in building and optimizing data architectures, pipelines, and model deployment frameworks that support enterprise‑grade analytics.
- Driving innovation and continuous improvement — you explore and integrate emerging AI technologies and methodologies to enhance analytical capabilities and efficiency.
- Simplifying complexity — you can translate advanced technical concepts into clear, actionable insights for senior business stakeholders.
- Collaborating across disciplines — you partner effectively with data engineers, analysts, product managers, and business leaders to align technical execution with strategic objectives.
- Coaching and capability building — you’re passionate about developing talent, establishing best practices, and cultivating a culture of technical excellence and learning.
- Operating with agility and structure — you thrive in fast‑paced, evolving environments, using agile principles to balance innovation with disciplined delivery.
Legal Notice
Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.
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