Senior Data Scientist

Job Description

We want to expand 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.

We are looking for a well-established Data Scientist at all levels who wants new challenges. 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 science capabilities.

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, to pause and change approach.

The Data Science department is currently a smaller team, with an ambition to grow, with a mix of Data Scientists and ML engineers. Therefore, it is an excellent opportunity 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 our expertise.

Core Responsibilities

• Apply advanced statistical techniques and ML/AI models to development and production environments.
• Collaborate with team members and stakeholders to build data science products that enable others to make business decisions.

Qualifications

• Postgraduate degree in a relevant discipline (e.g. STEM, Maths, Statistics, Physics) or equivalent experience.
• 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.

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