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The Role

Online Casino is one of the core products at Kindred, a market leader in responsible gambling. It is with the aim of offering the best, safest and most relevant experience to our customers that we leverage Machine Learning and AI to personalise our casino experience.

For that, we are looking for a Senior Data Scientist to join forces with Machine Learning Engineers, Business Analysts and product teams to deliver state of art solutions. As part of this process, you will be responsible for developing Data Science models, aligning roadmaps, supporting the growth of the Data Science team, and working closely with Machine Learning Engineers to productionise and A/B test solutions across different markets.

From recommender systems to advanced search personalisation, there is no shortage of exciting and challenging projects for you to apply your experience. Maintaining and improving current solutions, proposing and delivering new workstreams, engaging with key stakeholders across the business, and fostering a culture of excellence are some of the keys to success in this role. As the team grows, you will also be expected to support and guide junior team members to broaden their skills and efficiency.

What You Will Do

• Take ownership of execution against our Casino Personalisation roadmap by overseeing tech prioritisation and balancing hands-on contributions with strong stakeholder engagement.
• Take joint accountability with ML Engineering for the lifecycle of ML data products as they transition from research to production.
• Identify skill gaps and proactively address them, ensuring continuous skill development.
• Maintain strong relationships and communication at the interfaces of our domain, namely with our business owners and engineering teams.
• Contribute to building a culture of excellence within the wider Data Science and MLE organisations by aligning tools, best practices, processes, and governance.
• Raise the profile of the team by actively promoting work and team contributions across the organization.
• Hands-on delivery experience along with mentoring is desirable.

Your Experience

• Bachelor's or advanced degree in a STEM subject.
• In-depth understanding and experience of recommender systems.
• Advanced knowledge of machine learning algorithms, general statistical methodologies and theory.
• Advanced knowledge of A/B testing and design of experiments.
• Exemplary Python programming and SQL skills, with experience using Spark for processing large datasets.
• Familiarity with cloud computing platforms, preferably experience with Amazon Web Services.
• Understanding of software product development processes and governance, including CI/CD processes, release and change management.
• Understanding of the machine learning product lifecycle, and how scientists and engineers collaborate in cross-functional product teams.
• Understanding of ML deployment paradigms including batch, event-driven, and request-response.
• Knowledge of GitOps processes for testing and deployment, e.g., Jenkins and Terraform, and a broad awareness of software development practices.
• Passionate about personal development for self and team members.
• Excellent interpersonal skills, able to explain complex concepts to stakeholders.
• A problem-solving growth mindset with the ability to quickly pick up new concepts.
• Good to have knowledge of Generative AI and NLP.
• Ensure adherence to Governance, Risk & Compliance (GRC) obligations for your role.
• Identify and raise any non-compliance incidents promptly to your line manager.
• Challenge processes, policies, and projects that will negatively impact compliance within the Group.
• Complete all mandatory compliance training assigned to you.
• Reach out to the Compliance Teams if unsure of any compliance obligations or if requirements are unclear.

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