Data Scientist

Unleashing the power of data at TFG through advanced analytics and machine learning, crafting actionable insights that fuel strategic decision-making and innovation across sports.

About Twenty First Group

TFG is a global sports intelligence agency.  Our mission is to deliver groundbreaking sports intelligence, helping our clients get ahead and stay ahead.  We combine data science, engineering, and design to help some of the biggest names in sport, including the Premier League, England and Wales Cricket Board (ECB), Ladies Professional Golf Association, Tottenham Hotspur, AON, VISA, Arctos, The FA, Sky Sports, FIFPro, Ladies European Tour, and Sky Bet & Gaming.  Together with our clients, we are shaping the future of sport.

We have a new 5 Year Growth Plan which sets out an ambitious path to becoming a truly global business, shaping the biggest opportunities in sport and delivering an exponential growth in revenues and profits.  This role will play a crucial and fundamental role in helping the business deliver this exciting growth plan.

Scope and Impact

We are seeking a skilled and passionate Data Scientist to join our growing Data Science team at Twenty First Group. As a Data Scientist, you will play a key role in contributing to developing predictive models and extracting actionable insights for key decision makers in sport.

Extracting insight and narrative out of data is at the heart of our work here at TFG. By working with large complex datasets that feed into our Intelligence Engine, you will help source and support best-in-class insight and recommendations using robust statistical analysis. You’ll also be responsible for supporting the design and implementation of data science solutions that power our Intelligence Engine.

Your role as part of the Data Science team will involve frequently working alongside our Design, Engineering, Consulting and Commercial teams to deliver on a range of key projects, across a variety of different sports. You will also be helping to present findings from projects to external stakeholders.

We are constantly 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.

Roles & Responsibilities

1. Advanced Modelling:

• Develop and implement predictive models, machine learning algorithms, and statistical techniques to derive actionable insights from sports-related data sets.
• Collaborate with the rest of the data science team to enhance our understanding of various aspects of the sports industry through innovative analytics.

2. Coding & Programming:

• Utilise programming languages such as Python, R, C++ & SQL to implement data analyses and machine learning models.

3. Collaboration and Communication:

• Work closely with cross-functional teams to integrate data insights into overall business strategies and offerings.
• Communicate complex analytical findings in a clear and concise manner to both technical and non-technical stakeholders.

4. Data Exploration and Visualization:

• Explore and preprocess complex sports-related data to identify patterns and trends.
• Create clear and visually impactful data visualisations to effectively communicate findings to internal teams and external clients.

5. Innovation and Learning:

• Stay informed about the latest trends, tools, and methodologies in data science.
• Contribute to the continuous improvement of analytical capabilities by exploring new approaches and technologies using protected R&D time.

6. Quality Assurance:

• Ensure the accuracy, reliability, and integrity of data analyses and models through rigorous testing and validation processes.

Qualifications:

• A Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field.

Data science:

• 2+ years of experience in a data science role, with coding experience.
• Programming proficiency in Python, R, SQL, git version control.
• Strong analytical and problem-solving skills with a passion for sports.
• Understanding of core statistical modelling techniques such as regression, classification, clustering.
• Good understanding of using data visualisation to present data in a clear, compelling and visually appealing manner.

Sports knowledge:

• A strong enthusiasm for learning about a variety of different sports.

Communication and teamwork skills:

• Ability to communicate complex technical concepts to internal and external stakeholders from a non-analytical background.
• Ability to manage client stakeholder relationships.
• Ability to work collaboratively with others as part of an agile team.
• Ability to extract the important narratives from data.
• Ability to suggest analysis that will help address key client questions.

UK citizenship or the ability to work in the UK:

• This is a permanent full-time role, predominantly based in London.

Desirables

Data analysis:

• Experience with the ingestion and parsing of a variety of different data sources (e.g. databases and APIs).
• Experience with Bayesian Inference and Markov Models.
• Experience working with a variety of charting libraries in R, Python or another programming language to visualise complex data.

Sports knowledge:

• Experience analysing performance/off-pitch data for a particular sport, and an understanding of the latest use-cases of data within that sport. We work across a variety of sports so we’re keen to hear which sports you have a passion for and feel you have a good understanding of.

Please also let us know if you have any notable Certifications and Qualifications which could be relevant and might set you apart from other candidates.

The Way We Work

How we're enabling ownership, belonging and structured flexibility:

• A culture of positivity, curiosity, unity and integrity, which we live and breathe every day
• A team of 60 people who genuinely enjoy spending time together, with regular in-person and remote events to foster connection
• Hybrid-first approach; we optimise for office and remote working to be valued equally, and to be equally valuable
• We have performance review cycles 3x a year using our transparent career progression framework, and dedicated personal development time
• We have a Pay Philosophy to ensure a transparent and comprehensive pay review process

• Salary commensurate with our internal / external benchmarking framework
• Eligibility for a bonus scheme
• Flexible working
• Private health insurance
• Occupational life cover
• Pension
• Personal days (e.g. birthdays)
• Cycle to work scheme

Equal Opportunities Statement

We are an equal opportunity employer and believe in the power of a diverse, inclusive team.

We welcome all applications from all suitably qualified people, regardless of race, sex, disability, religion / belief, sexual orientation or age.

Please let us know if you require anything which would enable your success throughout our interview process.