Senior Data Scientist

Kindred Group is a leader in digital entertainment, operating nine successful online gambling brands and ranking among the largest online gambling groups worldwide. Committed to transforming gambling into a trusted and socially responsible form of entertainment, Kindred has a bold goal to derive 0% revenue from harmful gambling. With a diverse team of over 2,000 professionals representing 70+ nationalities, Kindred fosters a collaborative, inclusive, and balanced work culture. The company also offers extensive benefits and performance-based rewards to support its employees’ professional and personal growth.

Role Overview

Kindred Group is seeking a Senior Data Scientist to enhance the personalization of its online casino platform through cutting-edge Machine Learning and AI solutions. This role involves developing advanced data science models, working collaboratively with product and engineering teams, and mentoring junior team members to achieve exceptional customer experiences.

What you’ll 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.
• Identification of skill gaps and proactively addressing 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 practice, process, and governance.
• Raise the profile of the team by actively promoting work and team contributions across the organization.
• Hands-on with delivery along with mentoring experience is desirable

Qualification / Requirements

• 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 experiment.
• Exemplary Python programming and SQL skills, 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 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. Broad awareness of software development practice.
• Passionate about the personal development of self and team members.
• Excellent interpersonal skills, able to explain complex concepts to stakeholders.
• A problem-solving growth mindset with the ability to pick up new concepts quickly.
• Good to have knowledge of Generative AI and NLP.
• Ensure that you adhere to the 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 of your compliance obligations or the requirements are unclear.

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