Technical Lead Data Scientist
Twenty First Group, United Kingdom
Job Description
Pioneering cutting-edge research initiatives at TFG, leveraging advanced analytics and machine learning to push the boundaries of innovation, guide strategic decision-making, and shape the future of data science within our company and the sports domain.
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 amp; 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. TFG’s new Data Analyst will play a crucial and fundamental role in helping the business deliver this exciting growth plan.
Scope and Impact
As our company continues to mature and grow, we are looking for an accomplished Lead Research and Development (Ramp;D) Scientist to lead our Ramp;D efforts within our Data Science team. As the primary driver of innovation, you will be responsible for shaping the company's Ramp;D strategy, directing advanced research projects, ensuring a robust data infrastructure, and leading the development of cutting-edge technology to keep our capabilities at the forefront of sports analytics.
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 amp; Responsibilities
As the Technical Lead Data Scientist you will play a leading role in pushing TFG’s infrastructure and analytical capabilities through ‘TFG Labs’ - our newly launched centre for innovation. You will be responsible for leading cutting edge Ramp;D to ensure TFG remains at the forefront of Sports Analytics.
1. Strategic Leadership in Research and Development:
- Shape the strategic vision and roadmap for Ramp;D and infrastructure initiatives, aligning with the company's mission and goals.
- Spearhead advanced research projects to enhance our analytical capabilities and contribute to the evolution of sports analytics.
2. Team Management and Academic Mentorship:
- Provide leadership in mentoring a team of data scientists, data science engineers amp; data analysts fostering a culture of collaboration, innovation, and continuous learning.
- Provide academic guidance and mentorship to team members, encouraging the pursuit of excellence in research.
- Stay abreast of emerging trends, tools, and methodologies in data science and sports analytics
3. Innovative Research and Advanced Analytics:
- Lead the development and implementation of cutting-edge predictive models, machine learning and deep learning algorithms, and statistical techniques (e.g. Markov chain amp; Bayesian Inference) to push the boundaries of sports-related data analysis.
4. Technology and Infrastructure Leadership:
- Provide leadership in designing and implementing robust Ramp;D infrastructure, ensuring scalability, security, and efficiency in handling large volumes of sports data.
- Lead the development of the company's infrastructure, ensuring it remains cutting-edge and aligns with the evolving needs of our analytics and research projects.
5. Collaboration with Stakeholders:
- Communicate complex research findings in a clear and impactful manner to both technical and non-technical stakeholders.
- Collaborate with clients to understand their evolving needs and incorporate Ramp;D insights into custom solutions via technical builds
6. Cross-functional Collaboration:
- Work closely with other departments such as technology amp; consulting to integrate Ramp;D insights into overall business strategies and offerings.
Requirements
Qualifications:
- A Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
Experience:
- 7+ years of proven experience in a research and development role.
- Experience leading and managing research projects.
- Expertise in advanced machine learning, statistical modelling, data mining, and visualisation techniques, with proficiency in programming languages such as Python, R, SQ