At a Glance
- Tasks: Lead data science projects, mentor juniors, and develop innovative analytical tools.
- Company: Join CAA Portas, a top consulting firm transforming sports through data-driven insights.
- Benefits: Enjoy competitive pay, health insurance, gym subsidies, and a balanced work-life culture.
- Other info: Diversity and inclusion are core values; all applicants are treated equally.
- Why this job: Be part of a passionate team shaping the future of sports analytics while having fun.
- Qualifications: Strong knowledge of machine learning, proficiency in Python or R, and a love for sports.
The predicted salary is between 43200 - 72000 £ per year.
A division of leading entertainment and sports agency Creative Artists Agency (CAA), CAA Portas is the leading management consulting firm dedicated to sport. We believe in the power of sport and physical activity to transform lives, communities and nations. We provide inspirational leadership to power this transformation, having fun and showing the passion for doing what we love.
We help sports leaders across the world on their most important, complex and urgent challenges and opportunities to achieve more for their organisations such as:
- Delivering significant and sustainable business performance
- Transforming organisations and develop future sport leaders
- Driving increased and more effective funding into sport
- Achieving lasting positive change in society
Overview
We are expanding our Data & AI team and are looking for a Senior Data Scientist to join the team. You will lead analytical workstreams on client projects, help productionise workflows and mentor more junior members of the team. As part of a fast-growing area, you will get the opportunity to play a central role in developing new IP and shaping the frameworks and tools we use to help decision making across sporting performance, commercial and operations. We are looking for someone proactive, excited by the opportunity of working in a growing team, and who loves sport.
Responsibilities:
- Lead data science workstreams on client projects, managing analysts and collaborating with consultants
- Develop and deploy statistical models and core IP
- Build reusable tools to streamline analysis and visualisation
- Communicate insights clearly to all audiences
- Mentor junior team members and support capability growth
- Work with engineers to productionise solutions
Requirements:
- Strong knowledge of regression, classification, and machine learning algorithms, with experience applying them in real-world settings
- Passion for sports analytics, with previous working experience an advantage
- Proficient in Python or R, with good SQL skills
- Familiarity with coding best practices (version control, testing, documentation)
- Experience working with relational database systems and cloud platforms (Azure or AWS preferred)
- Comfortable working in a fast-paced consultancy or agency environment, within cross-functional teams
- Excellent problem-solving and communication skills
We offer a competitive compensation package commensurate with experience and qualifications. In addition to monetary compensation, we provide health insurance, gym subsidy, balanced work vs personal life.
Please ensure you provide complete and legible information in your application. An incomplete application may affect your consideration for employment.
Creative Artists Agency (“CAA”) is committed to promoting equal opportunities in employment and creating a workplace culture in which diversity and inclusion is valued and everyone is treated with dignity and respect. As part of our zero-tolerance approach to discrimination in any form, you and any job applicants will receive equal treatment regardless of age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, sex or sexual orientation, or any other legally recognised protected basis under UK law.
Please inform CAA’s Recruitment Department if you need any assistance completing any forms or to otherwise participate in the application process.
Seniority level
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Seniority level
Mid-Senior level
Employment type
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Employment type
Full-time
Job function
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Job function
Project Management and Information Technology
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Industries
IT Services and IT Consulting and Business Consulting and Services
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Senior Data Scientist in London employer: CAA Portas
At CAA Portas, we pride ourselves on being an exceptional employer that champions innovation and collaboration in the sports management consulting sector. Our vibrant work culture fosters creativity and passion, while our commitment to employee growth ensures that you will have ample opportunities to develop your skills and advance your career. Located in a dynamic environment, we offer unique advantages such as access to industry leaders and the chance to make a meaningful impact on communities through sport.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist in London
✨Tip Number 1
Familiarise yourself with the latest trends in sports analytics. Being able to discuss recent developments or case studies during your interview can demonstrate your passion for the field and your proactive approach.
✨Tip Number 2
Network with professionals in the sports analytics community. Attend relevant events or webinars, and connect with current employees at CAA Portas on LinkedIn to gain insights about the company culture and expectations.
✨Tip Number 3
Prepare to showcase your technical skills by working on a personal project or contributing to open-source projects related to data science in sports. This will not only enhance your portfolio but also give you practical examples to discuss in interviews.
✨Tip Number 4
Practice articulating complex data science concepts in simple terms. As a Senior Data Scientist, you'll need to communicate insights clearly to various stakeholders, so honing this skill will be crucial for your success in the role.
We think you need these skills to ace Senior Data Scientist in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights relevant experience in data science, particularly with regression, classification, and machine learning algorithms. Emphasise any previous work in sports analytics to align with the company's focus.
Craft a Compelling Cover Letter:Write a cover letter that showcases your passion for sports and data science. Mention specific projects or experiences that demonstrate your ability to lead analytical workstreams and mentor junior team members.
Showcase Technical Skills:Clearly outline your proficiency in Python or R and SQL in your application. Provide examples of how you've used these skills in real-world settings, especially in relation to cloud platforms like Azure or AWS.
Highlight Problem-Solving Abilities:In your application, include examples of how you've tackled complex challenges in previous roles. This will demonstrate your problem-solving skills and your ability to thrive in a fast-paced consultancy environment.
How to prepare for a job interview at CAA Portas
✨Show Your Passion for Sports Analytics
Make sure to express your enthusiasm for sports analytics during the interview. Share any relevant experiences or projects that highlight your passion and how it aligns with the company's mission to transform lives through sport.
✨Demonstrate Technical Proficiency
Be prepared to discuss your experience with regression, classification, and machine learning algorithms. Bring examples of how you've applied these techniques in real-world settings, and be ready to showcase your proficiency in Python or R, as well as your SQL skills.
✨Communicate Clearly and Effectively
Since the role involves communicating insights to various audiences, practice articulating complex data findings in a clear and concise manner. Use examples from past experiences where you successfully communicated technical information to non-technical stakeholders.
✨Highlight Mentorship Experience
If you have experience mentoring junior team members, be sure to mention it. Discuss how you've supported their growth and development, as this will demonstrate your leadership capabilities and fit for the role's responsibilities.
