Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Senior Data Scientist

CAA Portas
London
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist - Computer Vision

Senior Data Scientists

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

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


Compensation And Benefits:

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.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Seasonal Hiring Peaks for Machine Learning Jobs: The Best Months to Apply & Why

The UK's machine learning sector has evolved into one of Europe's most intellectually stimulating and financially rewarding technology markets, with roles spanning from junior ML engineers to principal machine learning scientists and heads of artificial intelligence research. With machine learning positions commanding salaries from £32,000 for graduate ML engineers to £160,000+ for senior principal scientists, understanding when organisations actively recruit can dramatically accelerate your career progression in this pioneering and rapidly evolving field. Unlike traditional software engineering roles, machine learning hiring follows distinct patterns influenced by AI research cycles, model development timelines, and algorithmic innovation schedules. The sector's unique combination of mathematical rigour, computational complexity, and real-world application requirements creates predictable hiring windows that strategic professionals can leverage to advance their careers in developing tomorrow's intelligent systems. This comprehensive guide explores the optimal timing for machine learning job applications in the UK, examining how enterprise AI strategies, academic research cycles, and deep learning initiatives influence recruitment patterns, and why strategic timing can determine whether you join a groundbreaking AI research team or miss the opportunity to develop the next generation of machine learning algorithms.

Pre-Employment Checks for Machine Learning Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in machine learning reflects the discipline's unique position at the intersection of artificial intelligence research, algorithmic decision-making, and transformative business automation. Machine learning professionals often have privileged access to proprietary datasets, cutting-edge algorithms, and strategic AI systems that form the foundation of organizational competitive advantage and automated decision-making capabilities. The machine learning industry operates within complex regulatory frameworks spanning AI governance directives, algorithmic accountability requirements, and emerging ML ethics regulations. Machine learning specialists must demonstrate not only technical competence in model development and deployment but also deep understanding of algorithmic fairness, AI safety principles, and the societal implications of automated decision-making at scale. Modern machine learning roles frequently involve developing systems that impact hiring decisions, financial services, healthcare diagnostics, and autonomous operations across multiple regulatory jurisdictions and ethical frameworks simultaneously. The combination of algorithmic influence, predictive capabilities, and automated decision-making authority makes thorough candidate verification essential for maintaining compliance, fairness, and public trust in AI-powered systems.

Why Now Is the Perfect Time to Launch Your Career in Machine Learning: The UK's Intelligence Revolution

The United Kingdom stands at the epicentre of a machine learning revolution that's fundamentally transforming how we solve problems, deliver services, and unlock insights from data at unprecedented scale. From the AI-powered diagnostic systems revolutionising healthcare in Manchester to the algorithmic trading platforms driving London's financial markets, Britain's embrace of intelligent systems has created an extraordinary demand for skilled machine learning professionals that dramatically exceeds the current talent supply. If you've been seeking a career at the forefront of technological innovation or looking to position yourself in one of the most impactful sectors of the digital economy, machine learning represents an exceptional opportunity. The convergence of abundant data availability, computational power accessibility, advanced algorithmic development, and enterprise AI adoption has created perfect conditions for machine learning career success.