Senior Data Scientist

Details

Work Location Type:
Hybrid
Office:
London
Type of Employment:
Full Time Permanent
Reference Number:
TEC2381

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 focused 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 Senior Data Scientist to join our product-led team and contribute to the success of our Kindred Sportsbook Platform. This role will report into our Risk Management team.

What you will do

Actively contribute to product development, able to interpret requirements and deliver independently.
Work closely with business stakeholders to translate business requirements into data science use cases, proactively reaching out in ambiguous situations, adapting to feedback and generating insights/solutions backed by data to drive the decisions.
Collaborate with DS and MLE team members to build and deliver data-driven products.
Take technical ownership of models throughout their lifecycle.
Write code that follows best practices and facilitates collaboration and re-usability.
Raise the profile of the team by actively promoting work and team contributions
Coach team members and set examples through work and behaviours.

Your experience

Bachelor's or advanced degree in a STEM subject.
Experience in a DS role with a proven track record successfully delivering algorithmic data products for enterprise-grade solutions in collaboration with engineering teams.
Ability to operate in an autonomous manner, proactively solving problems and proposing new solutions where existing methodology may not exist.
Accountability for the decisions taken within the projects and ability to clearly explain the reasoning
Interest and understanding of sports betting, experience in sports risk management.
Excellent interpersonal skills, able to explain complex concepts to stakeholders.
Ability to coach, support and mentor more junior team members.
Advanced knowledge of machine learning algorithms and general statistical methodologies and theory.
Advanced knowledge of AB testing and design of experiment.
Advanced Python and SQL skills, experience using Spark for processing large datasets.
Understanding of software product development processes and governance, including 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.