Data Science Manager

Are you passionate about using data to drive evidence-based decision making? Can you work with sizeable datasets and manipulate them in a logical way to elicit insights with clarity?

We are looking for a senior data scientist that thinks in a clear and organised manner to help us tackle challenging business problems with data and a mathematical approach. The right candidate would be able to work under time-pressure, generating accurate and complex analysis. The role holder would have an ability to explain complicated concepts to a lay-person and think creatively about problem-solving.

Overview

The Unilever People Analytics team is apioneering group of statisticians, data scientists and visualisation experts that utilise advanced statistical techniques to analyse our HR, financial and marketing data.

The role encompasses discovering and rationalising historical patterns in large data sets, developing predictive models, creating automated data solutions and researching machine learning techniques that are proprietary to Unilever. It also involves working to enhance the team’s infrastructure by introducing new tools and technologies in collaboration with our IT and Data Foundation partners.

What we are looking for

We are seeking a candidate that can work with speed and accuracy, looking to apply their problem- solving, mathematical and programming skills to business questions through a people-lens. The successful candidate would be able to demonstrate a thirst for learning and a passion for using data to generate insights. There will be frequent and varied opportunities to develop your business acumen and present complex analysis to senior business leaders. Projects are very varied and require a combination of technical skills as well as an understanding of the business context. Mentoring team members in the application of analytical techniques will be a core requirement.

An understanding of Generative AI techniques (including Retrieval-Augmented Generation) and experience of building solutions with Generative AI would be an advantage.

A mature attitude to developing relationships with multiple stakeholders, and tenacity to drive projects forward to tight deadlines and the ability to solve problems on your own will be the key to your success in this role.

At least three years working in a similar capacity would be advantageous to your application although no prior HR experience is needed. Success will be defined through application of your analytical techniques.

Technical Skills and Qualifications

A 2:1 or above from a recognised university in a quantitative subject. A demonstrable passion for machine learning / data science or statistics is crucial.

A comprehensive understanding of most of the following would be expected: Generalised Linear Models, CART, Random Forests, Clustering, Principal Components Analysis and Network Theory. Experience of Neural Networks would be a plus, but not essential.

Knowledge of Python would be essential as well as good working knowledge of SQL.

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