Data Science Lead

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Data Science Lead

Details

  • Work Location Type:
    Hybrid
  • Office:
  • Type of Employment:
    Full Time Permanent
  • Reference Number:
    TEC2218

About Kindred

Kindred Group is a digital entertainment pioneer bringing together nine successful online gambling brands, forming one of the largest online gambling groups in the world. Our purpose is to transform gambling by being a trusted source of entertainment that contributes positively to society. Our goal is that 0% revenue is derived from harmful gambling.

Our global team of more than 2000 people represents 70+ nationalities. When you join Kindred, you'll be part of a collaborative, diverse and inclusive team that has your best interest at heart. We are a trusting company that knows the value of a healthy work-life balance. We offer a wide range of benefits, along with annual bonus, which is tied to both company and your individual performance.

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The role

We are building the sportsbook of tomorrow at Kindred. Machine learning algorithms and AI are at the heart of how we will deliver an unrivalled customer experience and unlock operational efficiencies through automation.

Our Data Science (DS) and Machine Learning Engineering (MLE) teams are currently focussed on delivering Personalisation and Risk Management products, with future scope to develop sportsbook specific Reward products, and collaborate with our Quant team to develop trading automation solutions.

We are recruiting a Data Science Lead to join our product-led team and contribute to the success of our Kindred Sportsbook Platform. This role will report into the Head of Data Science, Quant, and ML Engineering.

Although an advanced technical background is required, this is a leadership role, and you are not expected to be a hands-on contributor.

Although an advanced technical background is required, this is a leadership role, and you are not expected to be a hands-on contributor.

 

What you will do

  • Provide strategic oversight of multiple DS product delivery streams.
  • Taking accountability for model research and development and working closely with ML Engineering as models are deployed in production systems.
  • Manage DS Managers, guiding them in setting detailed objectives, serving as an escalation point, and supporting their teams to achieve success. Provide coaching, enabling your line reports to meet their career goals.
  • Collaborate with Product Owners and Business Owners to define and ensure product development milestones are hit. When required, establish new product streams based on business needs.
  • Provide input to the broader DS strategy and vision set by the Head of Data Science in alignment with overall company goals.
  • Ensuring the profile of the team is raised both internally and externally.
  • Work closely with Quant and ML Engineering leadership to streamline our ways of working, fostering a culture of innovation and efficiency while staying up-to-date with industry best practices. Take the lead in strategic enabling initiatives as well as product development.
  • Work with your managers to drive recruitment and onboarding process.

 

Your experience

  • Bachelor's or advanced degree in a STEM subject.
  • Experience in a DS management/leadership role with a proven track record successfully delivering algorithmic data products for enterprise-grade solutions in collaboration with engineering teams.
  • Experience working in a mature tech organisation, interacting with teams including engineering, architecture, platform, data, and analytics.
  • Ability to take a holistic view of product development and roadmaps, delivering on commitments quarter-by-quarter, as well as having a view of how the product will evolve over a 1-2 year time horizon.
  • Experience line managing and coaching DS Managers.
  • Ability to interact effectively with business stakeholders to understand their requirements, offer solutions, and to collaborate with Product Owners to translate business needs into technical requirements for iterative product development roadmaps.
  • Advanced knowledge of machine learning algorithms and general statistical methodologies and theory.
  • Advanced knowledge of AB testing, able to drive measurement and attribution initiatives for DS products with our Experimentation and Customer Experience teams.
  • Proficiency in Python and SQL.
  • Understanding of software product development processes and governance, including Continuous Integration/Continuous Deployment (CI/CD) processes and release and change management.
  • Familiarity with cloud computing platforms, ideally experience with Amazon Web Services.

 

Our Way Of Working

Our world is hybrid.

A career is not a sprint. It’s a marathon. One of the perks of joining us is that we value you as a person first. Our hybrid world allows you to focus on your goals and responsibilities and lets you self-organise to improve your deliveries and get the work done in your own way.

Application Process

Click on the “Apply Now” button and complete the short web form. Please add your CV and covering letter in English to let us know your motivation for applying and your salary expectation. Our Talent Acquisition team will be in touch soon. Kindred is an equal opportunities employer committed to employing a diverse workforce and an inclusive culture. As such we oppose all forms of discrimination in the workplace. We create equal opportunities for all our applicants and will treat people equally regardless of and not limited to, gender, ages, disability, race, sexual orientation. We are committed not only to our legal obligations but also to the positive promotion that equal opportunities bring to our operations as set out in our sustainability framework. Kindred has an ESG rating of AAA by MCSI.

 
 

Details

  • Work Location Type:
    Hybrid
  • Office:
  • Type of Employment:
    Full Time Permanent
  • Reference Number:
    TEC2218

Location

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Location
London
Kindred House, 17-25 Hartfield Road, Wimbledon, London, United Kingdom, SW19 3SE
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Benefits

Well-being allowance
Learning and development opportunities
Inclusion networks
Charity days
Long service awards
Private medical insurance
Life assurance and income protection
Employee Assistance Programme
Pension

Meet the recruiter

Lisa Begum

lisa.begum@kindredgroup.com

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