Data Scientist - Journey Analytics
- Master's degree in Mathematics, Statistics, Analytics, Operational Research or similar field
- Hands-on analytics experience
- Experience building machine learning models in Python. R or other programming languages is a plus
- Passion for defining the next generation of customer experience excellence
- Industry experience in retail banking, pharma, healthcare, insurance, telecommunications or digital is a plus
- Distinctive problem solving and analytical thinking
- Evidence of entrepreneurial drive and having a "start-up" mentality
- Ability to prototype apps and visualizations is a plus
- Willingness to travel internationally up to 75%
Who You'll Work With
You will work alongside Journey Analytics leaders in New York and the McKinsey Customer Experience leadership team. Journey Analytics is part of McKinsey Solutions and McKinsey's New Ventures.
Journey Analytics is a specialist analytics team dedicated to combining analytics, design and consulting frameworks to improve customer experience by understanding, tracking and predicting sequences of events and interactions, to create better outcomes for businesses and customers in a variety of data-rich industries. Visit us to see what our data scientists have been working on: http://www.mckinsey.com/solutions/journey-analytics
McKinsey New Ventures fosters innovation driven by analytics, design thinking, mobile and social by developing new products/services and integrating them into our client 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 solutions, strategic acquisitions, and a vibrant ecosystem of alliances, we are redefining what it means to work with McKinsey.
As one of the fastest-growing parts of our firm, New Ventures has more than 1,500 dedicated professionals (including more than 800 analysts and data scientists) and we're hiring more mathematicians, data scientists, designers, software engineers, product managers, client development managers and general managers.
What You'll Do
You will be the entrepreneurial leader that builds and owns analytics-based assets that bring the value of journey analytics to clients and their customers, at scale.
You will lead a team of specialists, data scientists and data engineers under the mentorship of solution leadership, through all stages of an engagement: defining the project, crafting the business solution, gathering and structuring data, building machine learning models, communicating business impact to senior client leaders, and being the change agent within an organization to make our recommendations a reality.
You will help business leaders answer critical questions related to customer journey mapping, customer experience transformations, digital adoption, multichannel acquisition, and other industry-specific challenges. Through diagnostics, predicting customer behaviour, tracking and prescribing interventions to journeys, training up client analytics teams and joint value capture programs, you will help clients achieve tangible improvements across every customer, patient and product journey.
Your time will be spent 60% on client delivery, 20% on asset development and 20% on client development.
Meet Some of McKinsey's Employees
Danielle is one of the leaders of McKinsey’s business with retail and consumer clients. She oversees client projects and helps her teams and her clients utilize McKinsey’s resources.
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