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Senior Data Scientist
5 months ago
**Company Description**
The Rank Group is growing rapidly within both our Venues and Digital businesses. If you’re not sure who we are, you may be more familiar with us through our iconic brands; Mecca Bingo and Grosvenor Casino. We have most recently acquired Stride Gaming, which,together with our existing Digital business, forms Rank Interactive.
We employ circa 8,000 people globally, with our UK office functions being located in Maidenhead (Head Office), Sheffield (Customer Solutions Hub), London (Digital) and a further offices in Mauritius, Israel and Gibraltar, which is home to our existing RankDigital function.
We are evolving as a business and are adding some exciting new brands and concepts to our venues and digital offering. By joining an office-based or operational function with us, you’ll instantly be part of a high-performing and inclusive culture, whichworks closely to support our Customer-facing teams.
We are expanding our Data Science function further within our well-established strong data-driven Centralised Analytical department. Our Data Science mission is to build machine models in the production environment relative to Marketing, Customer Insights,and Safer Gambling and establish a strong culture of data-driven decision-making in our organisation's strategy.
As a Senior Data Scientist, you will work using data engineering, statistical, and ML/AI approaches to uncover data patterns and build models. We use Microsoft tech stack, including Azure Databricks (Pyspark, python), and we are expanding our data sciencecapabilities.
To be successful in the role, you will need to have extensive experience in data science projects and have built the professional skill to understand when an approach to a project is not working and to pause and change the approach.
The Data Science department is currently a smaller team, with an ambition to grow in the future. Therefore, it is an excellent opportunity to join our team at an early stage to grow, contribute and challenge yourself.
We are not an isolated function, so expect to work closely with business stakeholders, data engineers, marketing analysts and BI analysts to improve our existing models, create new models, and bring your expertise
We offer hybrid working environment which includes 3 days in the office and 2 days from home.
**Core Responsibilities**
- Collaborate with team members and stakeholders to build data science products that enable others to make business decisions
**Qualifications**
- Demonstrable working experience in relevant positions
- Good data modelling, software engineering knowledge, and strong knowledge of statistical, mathematical and ML modelling are a must at this stage.
- Skilful in writing well-engineered code
- Proven experience working with ML engineers and production systems (including Cloud platforms)
- Proven ability to analyse large sets and experience-built ML/AI models in production with the ability to translate them into insights and actionable business recommendations
- Great technical and commercial communication and collaboration skills with some presentation skills
- Passion for learning and keeping abreast of new technologies and data models
- Postgraduate degree in a relevant discipline (e.g. STEM, Maths, Statistics, Physics or equivalent experience)
**Additional Information**
To find out more information, follow us over on LinkedIn
