Twenty First Group
Junior Data Scientist
Job Description
Driving TFG’s insights through translating complex datasets into actionable intelligence to underpin strategic decisions for innovation, growth, and change within the sports industry.
As a Junior Data Scientist at TFG you will be applying data science solutions to produce insightful analysis to tackle client problems. As such, your role will span across a range of responsibilities:
1. Advanced Insights:
- Support in the development and application of predictive models, machine learning algorithms, and statistical techniques to derive actionable insights from sports-related datasets.
2. Coding & Programming:
- Utilise programming languages like R, Python, and SQL to execute data analyses and implement machine learning models.
3. Collaboration and Communication:
- Engage with cross-functional teams to integrate data insights into overarching business strategies and services.
- Communicate analytical findings in a clear and concise manner to both technical and non-technical stakeholders.
4. Data Exploration and Visualization:
- Explore and preprocess 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:
- Play a role in ensuring the accuracy, reliability, and integrity of data analyses and models through rigorous testing and validation processes.
Requirements
Qualifications:
- A Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
Experience required:
- 0-2 years of experience in data analysis, advanced analytics, and statistical modelling.
Data Analysis:
- Basic programming proficiency in R, Python or another programming language.
- Familiarity with fundamental data wrangling packages like dplyr or pandas.
- Exposure to relational databases and basic data cleaning techniques.
- Understanding of data visualisation principles to effectively communicate insights.
Sports knowledge:
- A keen interest in learning about various sports.
Communication and teamwork skills:
- Ability to articulate technical concepts to individuals with non-analytical backgrounds.
- Aptitude for collaborative work within an agile team environment.
- Ability to extract the important narratives from data.
UK citizenship or the ability to work in the UK:
- This is a permanent full-time role based in London (ability for hybrid work is also possible).
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.
SCOPE AND IMPACT
Extracting insight and narrative out of data is at the heart of our work here at Twenty First Group. 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 will 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, over 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.
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.
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
PACKAGE
- £30,000 to £35,000 (depending on background and experience)
- Eligibility for a bonus scheme
Benefits
- 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.