Data Science Engineer

London, England, United Kingdom

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Twenty First Group

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About Us

Twenty First Group are a global sports intelligence agency - striving to get our clients ahead and keep them ahead. We combine data science, engineering, and design to help some of the biggest names in sport find an edge over their competition and increase their chances of success.

We love sport and recognise the extraordinary impact it can have on people's lives. That’s why we are working with forward-thinking partners and team members, to drive sporting success and ignite the passion of fans. Together we are on a mission to make a lasting, positive impact in sport.

We are looking for the outliers in the market to join our team. The talent who has something beyond the core skills, who like to think differently and challenge the status quo. Those who share our passion for sport, and our desire to constantly move the needle. Most importantly people who share our values and desire to make a lasting, positive impact in sport.

Scope and Impact

The Intelligence Engine is at the heart of our business, giving us the tools to keep our clients ahead of their competition and drive their sporting and commercial success. By developing modelling frameworks and data pipelines, you’ll help shape the fundamentals of our Intelligence Engine and give our clients a best-in-class suite of data science solutions. You’ll also be supporting the rest of the data science team in bringing our sports insights and intelligence to life for our clients by working closely alongside our engineering and consulting teams.

Key Responsibilities

  • Build rigorous model validation and testing frameworks that help maintain the accuracy and reliability of the Intelligence Engine
  • Structure and evolve data science methods into production-ready services and systems
  • Research and develop new core algorithms that can be utilised in a wide array of data science models and solutions
  • Package core infrastructure to keep our Intelligence Engine fully modularized, as well as developing internal tools to increase our efficiency
  • Collaborate with our engineering team on a wide range of client projects and products

Requirements

Programming and Data science

  • Highly proficient in both R/Python, as well as experience in using SQL, Bash scripting, and automated deployment tools such as Docker/Jenkins
  • Knowledge of, and preferably experience in, the full data science pipeline, from data ingestion, to model development and model deployment
  • Experience in back-testing and evaluating the accuracy/quality of data science models, and knowledgeable on a wide range of model evaluation tools
  • A robust understanding of relational databases and how to construct complex queries effectively

Sports knowledge

  • Interest and passion for sports, and how analytics can play a role in bringing more value to the sporting industry

Communication and teamwork skills

  • Experience in being able to translate complex systems and statistical processes to a non-technical audience
  • Comfortable working as part of an agile team, and confident in taking ownership of certain work streams within projects


Desirable

Programming and Data science

  • An understanding of microservice architecture communication and message brokers
  • A good understanding of APIs, how they work and how to ingest data from them
  • Experience modularizing code and building packages

Sports knowledge

  • Experience in modelling and/or the analysis of sports data

Communication and teamwork skills

  • Experience with working alongside software/data engineers to embed data-science solutions into scalable products

Benefits

  • 25 Days Holiday + Bank Holidays + your birthday off + a “health and wellness day”
  • Vitality Health Care Scheme
  • Access to spill, a mental health support service offering free therapy
  • Personal & Professional Development
  • Death in service scheme
  • Cycle Scheme
  • Flexible work environment: we have a fabulous office in Clerkenwell open to the whole team, but offer hybrid ways of working so you can do a mix of in office / at home as you prefer
  • Top-notch socials
  • In office perks: cool building full of natural light, healthy snacks and excellent coffee
  • Onsite shower (if you’re a cyclist or gym-goer!)

Tags: Agile APIs Consulting Data pipelines Docker Engineering Model deployment Pipelines Python R RDBMS Research SQL Testing

Perks/benefits: Flex hours Health care

Region: Europe
Country: United Kingdom
Job stats:  6  1  0
Category: Engineering Jobs
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