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Data scientist

Engineering

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Manchester Office, remote friendly

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Full-Time

We are looking for a Data Scientist who will support our product, content and marketing teams with insights gained from analysing our data.

The ideal candidate is adept at using large data sets to find opportunities for product and process optimisation and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional/ development/ marketing teams. The right candidate will have a passion for health and wellbeing and enjoy discovering solutions hidden in large data sets.

Responsibilities

  • Work with stakeholders throughout the company to identify opportunities for leveraging company data to drive business solutions.
  • Extract and analyse data from company databases to drive optimisation and improvement of product development, marketing techniques and business strategies.
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques.
  • Develop custom data models and algorithms to apply to data sets.
  • Use predictive modelling to increase and optimise customer experiences, revenue generation, ad targeting and other business outcomes.
  • Develop company A/B testing framework and test model quality.
  • Coordinate with different functional teams to implement models and monitor outcomes.
  • Develop processes and tools to monitor and analyse model performance and data accuracy.

Required skills

  • Strong problem solving skills with an emphasis on product development.
  • Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
  • Experience working with and creating data architectures.
  • Knowledge of a variety of machine learning techniques (bayesian, decision tree, artificial neural networks, etc.) and their real-world advantages/drawbacks.
  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
  • Excellent written and verbal communication skills for coordinating across teams.
  • A drive to learn and master new technologies and techniques.

We’re looking for someone with 5-7 years of experience manipulating data sets and building statistical models, has a Master’s or PHD in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following software/tools:

  • Coding knowledge and experience with several languages: C, C++, Java,
  • Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
  • Experience querying databases and using statistical computer languages: R, Python, SLQ, etc.
  • Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modelling, clustering, decision trees, neural networks, etc.
  • Experience visualising/presenting data for stakeholders using: Tableau, Periscope, Business Objects, D3, ggplot, etc.

Desirable and additional skills

  • JavaScript and MongoDB
  • Experience using web services: Redshift, S3, Spark, DigitalOcean, etc.
  • Experience analysing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.
  • Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.

About us

We’re putting the individual at the heart of healthcare so they can feel better informed and more in control of their health. It’s about people being in control of their health information and being able to share it with whomever they choose, in order to get the health and care they want.

"Empowering people with access to personalised health and wellbeing information, so that they can make informed decisions and increase their healthy and happy years”

Benefits

  • Remote working - As working from home has become the 'new normal,' we'll help you get set up with the right equipment to do your best work remotely
  • Wellness plan - Money off everyday healthcare costs and services to support your wellbeing - think discounted dentist and optician bills, physio, and counselling.
  • Flexible time off - Even if you love your job, everybody needs a rest. That's why we encourage everyone to take regular days off to unwind and recharge.

Include any information you think might be helpful to us: A cover letter, CV and any links to your portfolio or examples of your work