Overview
Job ID: 104419
YOUR IMPACT
As a Data Science Analyst, you will work with the Insights & Analytics group and consulting teams at McKinsey, helping solve analytically complex client problems in the marketing domain, applying and administrating analytical/modeling tools and techniques and drawing insights through statistical techniques and predictive modeling.
Your primary role as an Analyst will be client service with additional responsibilities in knowledge development.
Your key activities as a Data Science Analyst will include: performing general statistical analysis and modeling in client engagements for marketing efforts; developing statistical models to measure and optimize pricing and promotions; providing guidance to teams on analytics projects related to technique/modeling related issues; supporting development and maintenance of proprietary McKinsey marketing techniques and other knowledge development projects; coaching and mentoring new hires by sharing business, functional and technical expertise; and delivering high quality end products on time, performing quality checks wherever required.
You’ll work with the Growth, Marketing & Sales (GM&S) team in Gurgaon/Bengaluru primarily supporting the Insights & Analytics (IA) group of GM&S.
GM&S leverages decades of McKinsey’s marketing and sales experience helping leading companies improve pricing, promotion, assortments, and performance management. The combination of software, tailored services, and expertise provides our clients with a granular view of their commercial and financial performance by gathering and integrating their landscape of data and information into a central data warehouse. Clients can use our intuitive interface to make decisions based on advanced analytics and can embed new pricing, commercial, and performance management capabilities throughout their organization.
GM&S Solution fosters innovation driven by analytics, design thinking, mobile and social by developing new products/services and integrating them into our client’s work. It is helping to shift our model toward asset-based consulting and is a foundation for – and expands our investment in – our entrepreneurial culture. Through innovative software as a service solution, strategic acquisitions, and a vibrant ecosystem of alliances, we are redefining what it means to work with McKinsey.
YOUR GROWTH
Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else.
When you join us, you will have:
- Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
- A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
- Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
- World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.
YOUR QUALIFICATIONS AND SKILLS
- Bachelor’s or master’s degree in disciplines such as computer science, applied statistics, mathematics, engineering, or related fields
- 2+ years of deep technical experience in advanced analytics, statistics, and machine learning
- Hands-on experience in building, training, and optimizing predictive models, with the ability to interpret and evaluate results
- Knowledge of hypothesis testing and experimental designs (e.g., A/B testing) is preferred, as these are often used for investigations and recommendations
- Advanced expertise in Python, with strong command over key libraries such as Pandas, NumPy, Scikit-learn, Matplotlib, and Seaborn; familiarity with Kedro is a plus
- Proven ability to work efficiently with large datasets, including tasks such as data cleaning, transformation (feature engineering), and analysis, while ensuring data quality and integrity
- Proficiency in SQL, with the ability to write intermediate-level queries for data extraction and transformation
- Strong understanding of cloud platforms, particularly AWS and/or Azure Databricks
- Familiarity with data visualization tools such as Tableau or Power BI, as well as version control systems like Git, is highly desirable
- Intermediate expertise in Excel, not only for presenting outputs but also for building basic models to support scenario analysis and decision-making
- Excellent presentation and communication abilities, with the capacity to explain complex analytical concepts and insights to both technical and non-technical audiences
- 55 - 70 INR - Annual
- 12 - 18 Yrs
- 2500000 - 3000000 INR - Annual
- 5 - 10 Yrs
- Anywhere in India/Multiple Locations
- 15 - 20 Yrs
- Hyderabad
- 1000000 - 2500000 INR - Annual
- 6 - 9 Yrs
- Pune
- Bangalore, Karnataka, India
- Bangalore, Karnataka, India
- Bangalore, Karnataka, India
- Bangalore, Karnataka, India