Locations: Bengaluru | Gurgaon
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
As a part of BCG X A&A team, you will work closely with consulting teams on a diverse range of advanced analytics topics. You will have the opportunity to leverage analytical methodologies to deliver value to BCG's Consulting (case) teams and Practice Areas (domain) through providing analytics subject matter expertise, and accelerated execution support. You will collaborate with case teams to gather requirements, specify, design, develop, deliver and support analytic solutions serving client needs. You will provide technical support through deeper understanding of relevant data analytics solutions and processes to build high quality and efficient analytic solutions.
YOU'RE GOOD AT
Working with BCG X and case teams
- Working with case (and proposal) teams
- Acquiring deep expertise in at least one analytics topic & understanding of all analytics capabilities
- Defining and explaining expected analytics outcome; defining approach selection
- Delivering original analysis and insights to BCG teams, typically owning all or part of an analytics module and integrating with case teams
- Establishing credibility by thought partnering with case teams on analytics topics; drawing conclusions on a range of external and internal issues related to their module
- Communicating analytical insights through sophisticated synthesis and packaging of results (including PowerPoint presentation, Documents, dashboard and charts) with consultants, collects, synthesizes, analyses case team learning & inputs into new best practices and methodologies
- Build collateral of documents for enhancing core capabilities and supporting reference for internal documents; sanitizing confidential documents and maintaining a repository
- Able to work on workstreams/modules independently or with minimal supervision
- Ability to support business development activities (proposals, vignettes etc.) and build sales collateral to generate leads
- Contributes to team's content & IP development
- Imparts technical trainings to team members and consulting cohort
Technical Skills:
- Strong proficiency in statistics (concepts & methodologies like hypothesis testing, sampling, etc.) and its application & interpretation
- Strong hands-on data mining and predictive modeling experience (Linear Regression/Bayesian, Classification (Logistic regression, Decision trees/Random Forest/Boosted Trees, etc.), Clustering (K-means, DBSCAN, etc.), Timeseries (SARIMAX/Prophet), etc.
- Strong experience in at least one of the prominent cloud providers (Azure, AWS, GCP) and working knowledge of auto ML solutions (Sage Maker, Azure ML etc.)
- Familiarity with LLMs, NLP, and GenAI concepts (OpenAI, Anthropic, Hugging Face) including RAG pipelines — chunking, embedding, semantic search, and retrieval strategies
- Familiarity with agentic AI frameworks (LangChain/LangGraph, AutoGen) including tool-calling, multi-agent orchestration, task decomposition, memory/context management, and human-in-the-loop design
- Familiarity with AI model evaluation frameworks (Phoenix Evals, RAGAS) and experimentation metrics for LLM/RAG systems
At least one tool in each category;
- Programming language: Python, SQL (Must haves); PySpark, R, SAS (Good to have)
- Data Visualization (Tableau, QlikView, Power BI, Streamlit)
- Data management (using Alteryx, Databricks Lakeflow Designer, MS Access, or any RDBMS)
- ML Deployment tools (Airflow, MLflow Luigi, Docker etc.)
- Big data technologies (Hadoop ecosystem, Spark)
- Data warehouse solutions (Teradata, Azure SQL DW/Synapse, Redshift, BigQuery, Snowflake/Snowpark, etc,)
- Version Control (Git/Github/Git Lab)
- MS Office (Excel, PowerPoint, Word)
- Coding IDE (VS Code/PyCharm)
- AI Coding Assistants (Cursor, Claude Code, GitHub Copilot)
- GenAI tools (OpenAI, Anthropic, Google PaLM/BERT, Hugging Face, etc.)
Functional Skills:
- Communicates analytical insights clearly and confidently to both technical and non-technical stakeholders
- Expertise in building analytical solutions and delivering tangible business value for clients (similar to the use cases below)
Price optimization, promotion & marketing effectiveness
Product assortment optimization and sales force effectiveness
Personalization/Loyalty programs, Labor Optimization
CLM and revenue enhancement (segmentation, cross-sell/up-sell, next product to buy, offer recommendation, loyalty, LTV maximization and churn prevention)
Demand Forecasting and Sales Planning
Risk Modeling and Credit Scoring
Healthcare Claim Analytics
Predictive Maintenance & data diagnostics
Applied NLP and GenAI: conversational AI, document intelligence, voice-of-customer, and unstructured data insights
What You'll Bring
Bachelor/Master's degree in a field linked to business analytics, statistics or economics, operations research, applied mathematics, computer science, engineering, or related field required; advanced degree preferred
At least 2-4 years of relevant industry work experience providing analytics solutions in a commercial setting
Prior work experience in a global organization, preferably in a professional services organization in data analytics role
Demonstrated depth in one or more industries not limited to but including Retail, CPG, Healthcare, Telco, Banking, etc
Who You'll Work With
Our data analytics and artificial intelligence professionals mix deep domain expertise with advanced analytical methods and techniques to develop innovative solutions that help our clients tackle their most pressing issues. We design algorithms and build complex models out of large amounts of data.
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.
