Peak’s mission is to boost people’s wellbeing in a smart and fun way. Founded in 2013, Peak has grown quickly, producing Peak – Brain Training, the number 1 brain training app on mobile, downloaded over 60 million times globally. Peak – Brain Training was chosen by both Apple and Google as one of the best apps available and is regularly featured by both as a leading example of smart mobile technology. 2020 is an exciting year for the business which will see us build on our success as the market leader and expand into new wellness verticals..

As a Head of Data Science at Peak, your mission is to transform Big Data into Smart data and help get Peak to the next level. You will help us make every decision as data-driven as possible. You will take ownership of reporting and analysing our business metrics, build descriptive models to learn what our users are doing, and prototype predictive models to help us serve our users even better. We move fast and develop a lot of ideas so you will have to keep up with the pace. You will need to iterate on ideas quickly, and take ownership of business problems. You will be great at prioritising tasks in a busy environment and be able to show that you can hit deadlines and exceed expectations.

WHAT YOU WILL DO

• Build, Lead, Coach and Mentor a team of talented data scientists
• Develop tools for understanding engagement of millions of users – refine KPIs around user engagement / churn / profitability / LTV
• Design & interpret A/B tests to make faster and more data driven decisions on product development, user acquisition,…
• AI – Use Machine Learning tools to build predictive and descriptive models of user behaviour
• Business Performance – Work closely with the engineering team to own data models, and work closely with the business team and the founders to help them understand what is happening in the app and identify the best levers of growth
• Build data as a product (diagnostic and training tools)
• You’ll work across the whole business testing hypothesis and delivering insights for the product, marketing, tech and design teams

Requirements

WE NEED THESE SKILLS

• Data organisation: you’ll have a proven experience with SQL, data warehouses, data modelling, data cleaning. You will be experienced with very large datasets and multiple data sources
• Data modelling: you know how to architect data models in both relational and nonrelational contexts
• Data engagement: you will know how to engage users and how to tell data stories, in scientific and in commercial contexts; you need reporting software experience (Tableau, Periscope, Mode, Looker, D3, …)
• Data analysis: deep knowledge of a data analysis tool (we like R and Python, bonus points for Spark, Neo4J, ElasticSearch, Node)

YOU HAVE

• A strong mathematical and statistical background (MSc in an analytical science preferred), familiarity with common machine learning algorithms
• Excellent communication skills and problem-solving ability — taking ownership of a problem comes naturally to you
• We think of Data Scientist as a business role so you’ll have a natural interest in the way businesses operate
• You’ll be willing to develop team management skills as we need you to take on coaching roles
• Take ownership of any sort of data-related projects in the company.
• Great Communication skills
• Team-player

Benefits

We are an ambitious company, so we aim high in everything we do. We believe we can have a real impact on the world. We recognise that to do this we need to be open to new ideas and to challenge one another every day to ensure real personal and professional growth. Ultimately, we care about each other and we know that we will succeed as a team. It’s why we make time to play pool, board games and video games together in our large, open plan kitchen with its fully stocked fridge. It’s also why we hold regular team days and hackathons to ensure the team is always trying new things, together. In our view, ambition, openness and teamwork are the surest way to achieve our amazing goals.

• Choice of laptop plus either an iPhone or Google Pixel
• Hackathon every quarter. Work with different teams, try new ideas and experiment with new projects
• Flexible career path. We’ve had team members move from CS to QA and from Science to Product Management
• Performance related bonus scheme with the opportunity to earn up to 20% of annual salary
• A training budget of £1000 per year to spend on training, conferences, books and more

Please click here to apply.