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Job Description
Bain & Company is a global consultancy that helps the worlds most ambitious changemakers define the future.
Across 65 cities 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. We complement our tailored, integrated expertise with a vibrant ecosystem of digital innovators to deliver better, faster, and more enduring outcomes. Our 10-year commitment to invest more than $1 billion in pro bono services brings our talent, expertise, and insight to organizations tackling todays urgent challenges in education, racial equity, social justice, economic development, and the environment. We earned a platinum rating from Eco Vadis, the leading platform for environmental, social, and ethical performance ratings for global supply chains, putting us in the top 1% of all companies. 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.
What Makes Us a Great Place To Work
We are proud to be consistently recognized as one of the worlds best places to work. We are currently the top-ranked consulting firm on Glassdoors Best Places to Work list and have earned the #1 overall spot a record seven times.
Extraordinary teams are at the heart of our business strategy, but these dont happen by chance. They require intentional focus on bringing together a broad set of backgrounds, cultures, experiences, perspectives, and skills in a supportive and inclusive work environment. We hire people with exceptional talent and create an environment in which every individual can thrive professionally and personally.
The Role
Youll join our Data Science & Machine Learning Engineering experts within the AI, Insights & Solutions team. This team is part of Bains digital capabilities practice, which includes a group of experts in analytics, engineering, product management, and design. In this multidisciplinary environment, youll leverage deep technical expertise with business acumen to help clients tackle their most transformative challenges. Youll work on integrated teams alongside our general consultants and clients to develop data-driven strategies and innovative solutions. Together, we create human-centric solutions that harness the power of data and artificial intelligence to drive competitive advantage for our clients. Our collaborative and supportive work environment fosters creativity and continuous learning, enabling us to consistently deliver exceptional results.
Position Summary
As a Lead Data Scientist, you will leverage your experience to design, implement and refine advanced analytical and machine learning solutions across a wide range of industries. You will engage in the entire data science life cycle, focusing on developing and deploying impactful models and data-driven strategies at a production scale suitable for the worlds largest companies.
Essential Functions
- Develop data science and software solutions to address large-scale enterprise challenges for Bains clients, serving as the data scientist and expert within a cross-functional team
- Develop and maintain long-lasting models, algorithms and tools that support internal or client needs
- Collaborate closely with and influence general consulting teams to identify analytics solutions for client business problems and to execute those solutions
- Collaborate with data science leaders to develop and advocate for modern data science concepts to both technical audiences and business stakeholders
- Collaborate with data engineering team to ensure data pipelines and platforms support modeling, experimentation and analytics use cases
- Transformations at scale, including cleaning, enriching, de-duping, joining, and correlated on structured, semi-structured, or unstructured data for modeling and analysis
- Define and implement new and innovative modeling techniques, experimentation strategies and analytics workflows within Bain full model development life cycle, including writing documentation, and unit/integration tests, and conducting reviews
- Support model deployment and operationalization in collaboration with engineering teams ensuring scalable data science solutions
- Collaborate with data engineering and analytics teams, and when needed, contribute to data acquisition, extraction, and preparation to ensure data is fit for modeling and analysis
- Establish and promote best practices for model development, documentation, and reuse, enabling scalable and repeatable approaches across industries and use cases
- Help prioritize and scope data science initiatives by translating complex client business problems into actionable projects with clear execution paths
- Provide technical guidance to external clients and internal stakeholders in Bain
- Contribute to industry-leading innovations that translate into great impact for clients in casework
- Stay current with emerging trends and technologies in data science, and proactively identify opportunities to enhance the capabilities of the analytics platform
- Advanced degree in Computer Science, Engineering, Econometrics, Statistics or Information Sciences
- PhD is a plus
- 5 years minimum experience
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- 3+ years of experience in analytics
Knowledge, Skills and Abilities:
- Proficiency in Python with knowledge of data structures, algorithms, object-oriented design, testing and scalable code for machine learning workflows
- Experience deploying ML models using containerization using Docker, Terraform, and MLOps tools like MLflow and GitHub Actions
- Proficient in managing data workflows and pipelines for modeling (Airflow, Beam, Luigy, Spark, Nifi or any other)
- Working knowledge of SQL or NoSQL databases: PostgreSQL, SQL Server, Oracle, MySQL, Redis, MongoDB, Elasticsearch, Hive, HBase, Teradata, Cassandra, Amazon Redshift, Snowflake
- Experience with Cloud platforms and services (AWS, Azure, GCP, etc.)
- Experience scaling model training and inference on large datasets, and optimizing pipelines for performance in production environments
- Strong foundation in machine learning and deep learning, including supervised, unsupervised, reinforcement learning, NLP, and modern architecture
- Experience working according to agile principles
- Strong interpersonal and communication skills, including the ability to explain and discuss technicalities of solutions, algorithms and techniques with colleagues and clients from other disciplines
- Curiosity, proactivity and critical thinking
- Ability to collaborate with people at all levels and with multi-office/region team
- Professional knowledge of English and German is required
Skills
Artificial IntelligencePythonData ScienceDeep LearningMachine LearningMysqlSnowflakeTeradataData ScientistAnalyticsAiMlSqlNlpMlopsMlflowModel DeploymentModel TrainingAirflowIf a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.
About Company
Bain & Company India Careers 2025
Bain & Company is a global management consulting firm known for its deep client partnerships, results-driven approach, and collaborative culture. Founded in 1973 and headquartered in Boston, Bain entered the India market in 2006, with offices in New Delhi, Mumbai, and Bengaluru. It serves clients across private equity, consumer products, technology, financial services, and healthcare. Bain India is led by Karan Singh, and is widely regarded for its entrepreneurial culture, flat hierarchy, and impact-oriented case work.
Business Model – Bain operates as a project-based B2B advisory firm, delivering high-impact strategic consulting to CXOs, boards, and investors. Its revenue model is built on fee-based engagements across strategy, performance improvement, digital transformation, and due diligence. Bain differentiates itself through its Results Delivery® methodology, which ensures that recommendations are implemented, not just presented. The firm also runs Vector, its internal digital innovation engine, and the Bain Capability Network (BCN), which supports global teams from India.
Recent Wins & Recognition –
- In 2025, Bain India co-published the India Venture Capital Report 2025, highlighting a 1.4x rebound in VC funding to $13.7B and the rise of generative AI investments across SaaS and fintech. (https://www.bain.com/insights/india-venture-capital-report-2025/)
- Bain advised on multiple quick commerce and consumer tech megadeals, including Zepto and Lenskart, helping shape India’s evolving B2C landscape. (https://www.bain.com/insights/india-private-equity-report-2024/)
- The firm’s Global M&A Report 2025 spotlighted how AI-driven deal sourcing and ESG filters are transforming investment strategies. (https://www.bain.com/insights/global-ma-report-2024/)
- Bain India also expanded its BCN footprint, integrating advanced analytics and sustainability diagnostics into global case teams. (https://www.bain.com/about/global-offices/bain-capability-network/)
Culture & Values – Bain’s core values include client results, one-team collaboration, diversity, and integrity. The firm is known for its supportive work environment, global staffing model, and strong mentorship culture. Bain India actively promotes DEI, runs pro bono consulting for NGOs, and offers flexible career paths through programs like ExperienceBain and True North Sabbaticals.
Client-Facing Domains
Strategy Consulting
What it is – Bain’s flagship offering, focused on solving complex strategic problems for CXOs and boards. India-based roles include:
- Corporate Strategy – Growth, market entry, pricing, and competitive positioning.
- Business Transformation – Turnaround, cost optimization, and operating model redesign.
- Customer Strategy – Loyalty, segmentation, and go-to-market planning.
Private Equity & M&A
What it is – Bain is the global leader in PE consulting, advising on 60%+ of major buyouts worldwide. India-based roles include:
- Commercial Due Diligence – Pre-deal market and competitor analysis.
- Post-Acquisition Strategy – Value creation plans and synergy realization.
- Exit Planning – Strategic reviews and IPO readiness.
Digital & Innovation (Vector)
What it is – Bain’s tech-forward practice combining strategy with digital tools, AI, and design. India-based roles include:
- Digital Transformation – Tech-enabled business model shifts.
- Advanced Analytics – Predictive modeling, machine learning, and data strategy.
- Innovation & Design – Product strategy, UX, and agile delivery.
Bain Capability Network (BCN)
What it is – Bain’s global support hub based in India, powering case teams with research, analytics, and diagnostics. India-based roles include:
- Industry & Competitor Research – Market sizing, benchmarking, and trend analysis.
- Data & Analytics – Excel modeling, Tableau dashboards, and KPI tracking.
- Sustainability & ESG Diagnostics – Carbon footprint analysis and ESG scoring.
Internal Services
What it is – Bain’s enabling functions that support global operations and talent. India-based roles include:
- Talent & HR – Recruiting, onboarding, and career development.
- IT & Knowledge Management – Tech support, database access, and IP protection.
- Finance & Operations – Budgeting, vendor management, and compliance.
Important dates & deadlines?
Application Deadline
14 Nov 26, 02:32 PM IST
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