Lead People Data Scientist



We have rapidly grown into a truly global company since our launch in 2008 and we’re continuing to grow. Our family now includes partner boutiques and brands across Europe, North and South America and Asia; we demonstrate our ‘Think Global’ value in everything we do.   We are a global team of over 2,200 people and have offices based in London, New York, L.A., Porto, Guimaraes, Lisbon, Sao Paulo, Shanghai, Moscow, Hong Kong & Tokyo.   We are a company with an entrepreneurial spirit and innovative culture. We are positive, passionate and live our values: Be Human, Be Brilliant, Todos Juntos, Be Revolutionary, Think Global and Amaze Customers day to day.  

The Team: We are responsible for driving the Happy People Revolution at Farfetch. Our People Team consists of all exciting fields of People including Talent Acquisition, Employer Branding, Learning & Development, Business Partnering, Total Rewards, People Applications, and People Analytics & Planning. We are truly global, with teams in all of Farfetch’s offices. In our fast growing environment we are looking for brilliant people who share the passion for people and data - and want to have some fun along the way.

The Role: We are looking for a Lead Data Scientist to help shape a new Advanced Analytics team. This team will develop our “Data meets People” agenda, positively influencing our People programs and processes. We have an ambitious vision and we expect you to play a leading role in shaping who we are and what we do. As an early member, you will not only be able to develop the new team, but have a key role in defining what questions should be asked and play a big part in finding new opportunities for impact. In the role, you will be part of and work closely with the People Analytics & Planning team and with the Global People Strategy Director, eenabling action-oriented and insightful decisions, and leading strategically aligned, organizational-level change, while building capabilities across the People Team. You will also connect with the broader data science community at Farfetch, ensuring that we take advantage of best practices and innovative solutions developed across the company.


What You’ll do:

Work with our stakeholders to shape our “Data meets People” agenda, identifying high impact opportunities and the best approaches to capture them effectively; Lead on the definition and development of a suite of tools and techniques to ensure Farfetch can carry this agenda. This includes identifying the gaps and developing the foundations in data infrastructure and processes; Research, prototype and productionise Machine Learning approaches that substantially improve our People initiatives and processes; conducting end-to-end projects including data gathering and requirements specifications, processing, analysis, and presentations; Generate actionable and predictive insights from different sources (including hiring data, follow-up meetings, exit interviews) in order to find trends and contribute for a better place to work for; Work with complex data sets, applying sophisticated statistical techniques to solve hard problems across our three strategic pillars: Find, Grow and Keep the best talent. Examples of this could include automating CV screening, recommending promotions based on performance, or anticipating turnover. Recruit, manage and retain a high performing team of Data Scientists; coaching them, setting their priorities and working collaboratively to deliver projects on time and to the highest standards.

Who You Are:

Superbly qualified – you developed your inquisitive mind via a Master’s degree, or higher, in a quantitative domain such as Computer Science, Operational Research, Statistics, Applied Maths, or similar Experienced with proven results in the field of Data Science, combining a deep technical knowledge with a business oriented mind-set A builder, and thrive on the prospect of creating something new. You can advise on the pros and cons of alternative approaches, but are not afraid to roll up your sleeves to get the job done Extremely capable of working with data modelling, visualization tools and machine learning software Able to rapidly break complex questions into simple, actionable and testable hypotheses Passionate for improving techniques, processes, analytical insights and technology to achieve our bold goals. You will help address the complex challenges of experiment design, using state of the art statistical techniques An investor in people – we want someone who seeks to deliver impact, but also invests in themselves and others Pragmatic – you know how to convert incomplete and less-than-perfect data into decisions without getting stuck in analysis paralysis A great story teller – able to articulate findings clearly to both technical and non-technical audiences

We love hearing from you and want you to be as ambitious as we are, but before applying please ask yourself the following…

 Is this role a good match for me and my long term goals? We want to really know why you have chosen this career. Do I have all the skills and experience required for this role? Be realistic. We will only consider applications that demonstrate relevant skills or the potential to match the role requirements. Spell Check. As simple as it sounds make sure your application is to the highest standard. You will be surprised at how many applications we receive with spelling mistakes on them.

We are committed to equality of opportunity for all staff, applications from individuals are encouraged regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships

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Confirmed 18 hours ago. Posted 30+ days ago.

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