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Boston Consulting Group

Global strategy and transformation consulting firm

Delivery AI Scientist

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • 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 a data analytics role.
  • A Bachelor's or Master's degree in a field linked to business analytics, statistics, economics, operations research, applied mathematics, computer science, engineering, or a related field is required.
  • Strong proficiency in statistics concepts and methodologies, including hypothesis testing and sampling, and their application and interpretation.
  • Hands-on data mining and predictive modeling experience, including linear regression, clustering (K-means, DBSCAN), classification (logistic regression, decision trees, random forests, boosted trees), and time-series methods (SARIMAX, Prophet).
  • Strong experience with at least one prominent cloud provider (Azure, AWS, or GCP) and working knowledge of auto-ML solutions such as SageMaker or Azure ML.
  • Proficiency with Python and SQL, and at least one of R, SAS, or PySpark.
  • Experience with at least one data management tool such as Alteryx, MS Access, or an RDBMS.
  • Experience with ML deployment tools such as Airflow, MLflow, Luigi, or Docker.
  • Experience with data warehouse solutions such as Teradata, Azure SQL DW/Synapse, Redshift, or BigQuery.
  • Experience with version control tools such as Git, GitHub, or GitLab.
  • Experience with Microsoft Office tools, including Excel, PowerPoint, and Word.
  • Experience with a coding IDE such as VS Code or PyCharm.
  • Experience with generative AI tools such as OpenAI, Google PaLM/BERT, or Hugging Face.
  • Expertise in building analytical solutions and delivering tangible business value for clients.
  • Strong hands-on experience delivering advanced analytics solutions through the full analytics lifecycle.
  • Strong analytical solutioning skills and the ability to develop and codify knowledge and provide analytical advice.
  • Clear, confident, concise written and verbal communication.

Responsibilities

  • Work closely with consulting teams on AI and advanced analytics topics, providing analytics subject matter expertise and execution support to product teams.
  • Collaborate with case teams to gather requirements, specify, design, develop, deliver, and support analytic solutions for client needs.
  • Provide technical support by applying knowledge of relevant data analytics solutions and processes to build high-quality, efficient analytic solutions.
  • Help clients translate operational challenges into practical solutions; structure client problems, identify value pools, define improvement opportunities, and support use-case design across refining performance, planning and scheduling, margin optimization, emissions reduction, turnaround management, maintenance, reliability, and operational excellence.
  • Work with BCG case teams, product and technical teams, and client stakeholders to ground solutions in business needs.
  • Support client interviews, workshops, diagnostics, value sizing, business case development, roadmap definition, and change management activities.
  • Translate strategic and operational priorities into clear solution requirements and link digital tools to measurable business outcomes.
  • Contribute to reusable assets, industry perspectives, commercial materials, and delivery playbooks.
  • Deploy AI solutions at client sites and travel regularly to client sites.
  • Work with case and proposal teams.
  • Acquire deep expertise in at least one analytics topic and understand all analytics capabilities.
  • Define and explain expected analytics outcomes and select an appropriate approach.
  • Deliver original analysis and insights to BCG teams, typically owning all or part of an analytics module and integrating with product teams.
  • Partner with product teams on analytics topics and draw conclusions on external and internal issues related to the module.
  • Communicate analytical insights through synthesized presentations, documents, dashboards, and charts; collect, synthesize, and analyze case-team learning and inputs into best practices and methodologies.
  • Build documents to enhance core capabilities and serve as internal references, sanitize confidential documents, and maintain a repository.
  • Lead workstreams and modules independently or with minimal supervision.
  • Guide junior team members on analytical methodologies and platforms and help perform quality checks.
  • Contribute to team content and intellectual property development.
  • Deliver technical training to team members and the consulting cohort.
  • Apply analytical methods to use cases including API automation, forecasting, product assortment optimization, sales force effectiveness, personalization and loyalty programs, and labor optimization.
  • Support customer lifecycle management and revenue enhancement, including segmentation, cross-sell and up-sell, next-product-to-buy, offer recommendations, loyalty, customer lifetime value maximization, and churn prevention.

Desired Qualifications

  • An advanced degree is preferred.
  • Experience in a professional services organization in a data analytics role.

About the Company

Boston Consulting Group

Global strategy and transformation consulting firm

BCG provides global management consulting, advising leaders in strategy and transformation across industries, with expertise in M&A, operations, pricing, sustainability, and AI. BCG X builds AI solutions, digital products, and new ventures by combining engineers, data scientists, designers, and venture builders for clients. Specialist units Inverto, Platinion, and Quantis support procurement, IT architecture, and sustainability, while the BCG Henderson Institute supplies research. The goal is to help clients achieve lasting performance improvements and durable value through strategic advisory plus hands-on technology execution.

Company size
10,001+
Company stage
Not listed
Total funding
Not listed
Headquarters
Boston, MA
Founded
1963

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