Working closely with a cross-functional team of data scientists, data engineers, product developers, and analytics-focused consultants, your core responsibility involves collaborating with product management to build performant, robust, and maintainable analytics products that adhere to established data-science approaches and best practices.
You will expand your expertise across various analytics topics, encompassing descriptive analytics as well as the design, development, and refinement of statistical models, optimization techniques, advanced machine learning, and predictive models like boosted trees.
Furthermore, driving the fine-tuning and evaluation of LLMs requires leveraging the latest advancements in neural network architectures and machine learning techniques, optimizing their performance and efficiency particularly for segmentation use cases. Accelerating this development and problem-solving process involves utilizing cutting-edge GenAI tools such as Claude and Cursor, alongside implementing efficient development and maintenance workflows (MLOps) within our Databricks platform.
Translating these complex data analyses into actionable analytical insights directly guides client project directions, while simultaneously fueling your contributions to internal knowledge sharing, research, and technical documentation focused on unstructured data, LLMs, and predictive modeling. Ultimately, all these efforts converge to bring advanced analytics capabilities into one of the firm's flagship products, "Wave" serving as the backbone for how McKinsey runs future transformations and utilizing powerful data science assets to dramatically improve the odds of success for our clients.
You will work in our McKinsey Client Capabilities Network in EMEA and will be part of our Wave Transformatics team.
Wave is a McKinsey SaaS product that equips clients to successfully manage improvement programs and transformations. Focused on business impact, Wave allows clients to track the impact of individual initiatives and understand how they affect longer term goals. It is a mix of an intuitive interface and McKinsey business expertise that gives clients a simple and insightful picture of what can otherwise be a complex process by allowing them to track the progress and performance of initiatives against business goals, budget and time frames.
Our Transformatics team builds data and AI products to provide analytics insights to clients and McKinsey teams involved in transformation programs across the globe. The current team is composed of 3 data engineers, 5 data scientists,1 analyst and 2 PMs who are spread across several geographies. The team covers a variety of industries, functions, analytics methodologies and platforms – e.g. Cloud data engineering, advanced statistics, machine learning, predictive analytics, MLOps and generative AI.
