Data Scientist London, England
Job description
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 60+ 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 an award-winning all-employee share program, which is a great opportunity to share in the company's success.
The role
Are you ready to take your skills to the next level and join our dynamic team? We are seeking talented individuals like you to be part of our established data science team. As a Data Scientist, you will be at the forefront of cutting-edge projects that span various areas of our business.
Unlike other roles, this position is predominantly hands-on, allowing you to dive deep into the exciting world of data science. But it doesn't stop there! You will also have the opportunity to collaborate with business stakeholders, expanding your influence and taking on more responsibilities as your expertise grows.
Joining our Data Science Risk team means becoming part of a larger data and analytics group comprising around 100 brilliant minds. Within this structure, we have dedicated functions for Data Analytics, BI, and Data Engineering. Moreover, our team of DevOps, Data Engineering, and Developers are always on hand to support your data science initiatives. With such a robust framework in place, you can focus on what you love most: tackling the toughest challenges and unraveling complex problems.
As an online high transaction business, we amass a staggering amount of data daily. Think customer betting and gameplay activity, their interests and motivations, and so much more. To enable our Data Scientists to provide groundbreaking solutions, we have made substantial investments in state-of-the-art data technologies and cutting-edge analytical tools. You'll have access to the latest techniques and technologies, empowering you to deliver innovative solutions that push the boundaries of what's possible.
Picture yourself working on thrilling projects in a range of exciting domains, including personalization and recommendations, customer propensity models, cybersecurity, risk management, anti-money laundering (AML), entity resolution, payment/transaction fraud detection, and problem gambler detection. With such diverse projects on offer, every day will bring fresh challenges and opportunities to showcase your expertise.
Don't miss out on this incredible chance to join our team of forward-thinking Data Scientists. and let your data science skills shine brighter than ever before!
What you will do
- Hands on contributor, applying machine learning methodologies to delivering data science projects that allow the company to achieve its goals
- Perform data analysis and modelling on large (Tb) data sets
- Analyse wide range of data sources to identify new business value
- Support measurement initiatives to demonstrate efficacy of solutions to stakeholders
To succeed in this role, we believe you have
- Circa 1-2 years commercial experience, ideally in a data science role
- PhD or Masters in a numerate discipline
- Experience developing statistical models in Python
- Solid understanding of statistical modelling and machine learning
- Excellent interpersonal skills and the ability to explain complex topics to stakeholders
In addition, it would be an advantage if you also have
- Experience putting models and processes into production
- Experience in cloud computing, in particular AWS
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 “” 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.
