Data Scientist

What you will do

As a part of BCG X team, you will work closely with consulting teams on a diverse range of AI and advanced analytics topics. You will have the opportunity to leverage analytical methodologies to deliver value to BCG's products teams 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 will work at the intersection of business strategy, operations, and technology, helping clients translate complex operational challenges into practical, high-impact solutions.

You will help structure client problems, identify value pools, define improvement opportunities, and support the design of use cases across areas such as refining performance, planning and scheduling, margin optimization, emissions reduction, turnaround management, maintenance, reliability, and operational excellence.

You will work closely with BCG case teams, BCG X product and technical teams, and client stakeholders to ensure that €KON$ solutions are grounded in real business needs. You will support client interviews, workshops, diagnostics, value sizing, business case development, roadmap definition, and change management activities.

You will also help translate strategic and operational priorities into clear solution requirements, ensuring that digital tools are not developed in isolation but are directly linked to measurable business outcomes. Over time, you will contribute to building reusable assets, industry perspectives, commercial materials, and delivery playbooks for Ekons.

You will deploy AI solutions on the client’s site and will be required to travel to client’s sites regularly.

You are good at

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 product teams
• Establishing credibility by thought partnering with product 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 lead workstreams and modules independently or with minimal supervision

Team requirements:

• Guides juniors on analytical methodologies and platforms, and helps in quality checks
• 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
• Hands-on data mining and predictive modeling experience (Linear Regression, Clustering  (K-means, DBSCAN, etc.), Classification (Logistic regression, Decision trees/Random Forest/Boosted Trees), 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.)

At least one tool in each category

1. Programming language - Python (Must have), (R Or SAS OR PySpark), SQL (Must have)

2. Data management (using Alteryx, MS Access, or any RDBMS)

3. ML Deployment tools (Airflow, MLflow Luigi, Docker etc.)

4. Data warehouse solutions (Teradata, Azure SQL DW/Synapse, Redshift, BigQuery etc,)

5. Version Control (Git/Github/Git Lab)

6. MS Office (Excel, PowerPoint, Word)

7. Coding IDE (VS Code/PyCharm)

8. GenAI tools (OpenAI, Google PaLM/BERT, Hugging Face, etc.)

 Functional Skills:

• Expertise in building analytical solutions and delivering tangible business value for clients (similar to the use cases below)
• API automation, forecasting, 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)

Communicating with confidence and ease:

You will be a clear and confident communicator, able to deliver messages in a concise manner with strong and effective written and verbal communication.

Thinking Analytically

You should be strong in analytical solutioning with hands on experience in advanced analytics delivery, through the entire life cycle of analytics. Strong analytics skills with the ability to develop and codify knowledge and provide analytical advice where required.

 

What you will 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 2-3 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
• Prior work experience in a global organization, preferably in a professional services organization in data analytics role to join our ranks.