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Here at the Financial Times, gold-standard journalism is just the beginning. 500-people strong, our Product and Tech team keeps us ahead of the ever-changing digital landscape by delivering cutting-edge products to over one million digital subscribers every day. Our plans for growth rely on a diverse, dedicated and dynamic group of product, tech, delivery and data specialists - everyone’s welcome in this friendly, forward-thinking team. And with entrepreneurial spirit, intelligence and opportunity at every turn, there’s no limits to where your FT career will take you. Learn more about the FT, including announcements and career opportunities, at aboutus.ft.com. Role Overview This is a unique opportunity for someone passionate about solving problems to advance their career within data science. The senior data scientist will advise on which projects are feasible and recommend new projects based on their experience. In doing this they will build and maintain a roadmap of work for their team and form close relationships with product managers and marketing team leads. To be successful they will need strong communication skills and be able to clearly explain the models and techniques being used. We work with R, BigQuery, GitHub and python. Collaboration is central to how we work. The senior data scientist will be responsible for mentoring data scientists and demonstrating best practice. Our teams are set up to have several data scientists working on the same project. We believe this helps us share ideas, solve problems faster and avoid bad habits. A successful senior data scientist will support and encourage this collaboration. We work on a wide range of business challenges and opportunities from across the FT. In the past these have included recommending content for each user based on reading behaviour, predicting which subscribers will cancel and creating audience segmentation. If projects like these excite you, consider applying to join the team. What you will be responsible for Advising on feasibility of projects and recommending new data science projects and services to support business areas Lead on projects and build and maintain a roadmap of data science capabilities for the team Forming close relationships with a range of stakeholders Building, documenting and testing machine learning pipelines Applying statistical techniques to our web, subscription and content data in order to answer interesting questions and develop new models Research into user behaviour helps us improve our models. We try to make sure this work is repeatable and accurate. Explaining techniques, results and ideas to colleagues, many of whom have not worked with data before Advising product managers on experimental design and metrics Sharing your work with the rest of the team, and reviewing the work of other team members Managing and supporting the development of junior team members. This is about making the FT a great place to work and helping people learn new skills Skills you need to be successful in this role Essential Fluency in English Recent experience working with large data sets to solve complex problems Substantial proficiency with R or Python for data analysis and machine learning Experience implementing and testing the success of machine learning and data science outputs within end user applications Examples of building, deploying and testing machine learning models on production systems Passion for making the complicated easy to understand, through written, verbal and visual form Experience prioritising, maintaining and delivering a pipeline of competing projects A friendly and collaborative approach to the people you work with Strong SQL for querying and database management Extras we would be excited about Experience with any of H2O, Tensorflow, Airflow, D3, RStudio Connect, Git/SVN + GitHub, R package development, CircleCI, ggplot2, deploying models as APIs Management or mentoring experience Previous work in a newsroom or media company Work in agile teams or knowledge or agile methodologies Masters or PhD in Maths, Statistics or similar In Return, We Can Offer You Annual bonus scheme 24/7 Employee Assistance Program 25 days annual paid leave Private Health Insurance Life Insurance Enhanced Maternity and Paternity Leave policy Food Vouchers Multisport Card Work-life balance and work from home practice Both in house and external training programs Your own training dedicated budget (for conferences, courses etc.) Anything else? There’s a lot going on at Financial Times! Click to find out more about us on FT.com. Don't hesitate to send over your CV! Our commitment to diversity and inclusion in the workplace At the FT, we aim for employees across all regions to have a voice so that diverse perspectives are heard and valued. We believe that a supportive workplace is one where employees feel they can be themselves at work and have the flexibility they need to meet their personal needs. We'll continue to remove barriers for all, and in particular barriers facing employees from underrepresented groups.
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