Senior Data Scientist...

Job Description Senior Data Scientist x3 days a week
in South-West London About the Company Xcede are delighted to be
working with a market leader in the entertainment space with one of
the strongest Data Science programmes in its sector. With an
ambitious roadmap and strong investment in AI, data science, and
engineering, this business is focused on building the most
advanced, personalised customer experiences in the industry. With a
dynamic culture rooted in product innovation, agile methodologies,
and continuous learning, this is the ideal environment for
experienced data professionals who want to shape next-generation
predictive and personalisation systems at scale. About the Role
This is a fantastic opportunity for a Senior Data Scientist to take
on a key role within a collaborative, forward-thinking Data Science
function. Sitting within the personalisation team, you’ll be
working alongside machine learning engineers, product stakeholders,
and developers to deliver intelligent, customer-facing features
starting with personalisation but evolving toward reward systems.
This is a hands-on, end-to-end role where you’ll have full
ownership of models, from ideation to deployment, and play a major
part in shaping the roadmap for intelligent products across a
modern, scalable platform. Responsibilities - Building scalable,
data-driven product features that enhance customer experience and
drive automation across the platform. - Translating business
requirements into actionable data science solutions, even when
context is limited or requirements are evolving. - Working
cross-functionally with machine learning engineers, product
managers, and other teams to deliver full-lifecycle model
implementations. - Maintaining and iterating on models
post-deployment, taking ownership of performance monitoring and
optimisation. - Writing well-structured, reusable code that adheres
to best practices for collaboration, scalability, and maintenance.

• Promoting your work and contributing to the visibility of the
  team both internally and externally. - Coaching peers and less
  experienced team members through example and support. - Ensuring
  all work aligns with internal compliance and governance frameworks,
  reporting any concerns where appropriate. Requirements - A solid
  academic foundation in a relevant degree (MSc or higher, ideally).
  
• Proven success designing, building, and deploying machine
  learning models into production environments. - Strong Python and
  SQL skills, with practical experience using distributed processing
  tools such as Spark. - A proactive, self-starting approach to
  problem solving, especially in cases where clear precedents or
  frameworks don’t exist. - Clear and confident communication skills;
  able to collaborate effectively with both technical teams and
  non-technical stakeholders. - Solid understanding of
  experimentation methodologies, including AB testing and statistical
  analysis. - An interest in sports, gaming, or personalisation
  domains is highly advantageous. - Familiarity with CI/CD practices
  and the broader software delivery lifecycle, including governance
  and release management. - A mentoring mindset, with a desire to
  coach junior team members and raise the overall capability of the
  team. If this role interests you and you would like to learn more,
  please apply here or contact us via (feel
  free to include a CV for review).