Collaborate with stakeholders to identify and understand business problems and define data-driven solutions;
Lead end-to-end data science projects, from problem formulation and data exploration to model development, validation, and deployment;
Apply advanced statistical modelling and machine learning techniques to derive actionable insights and drive strategic decision-making;
Develop and implement predictive and prescriptive models to solve complex business challenges;
Collaborate with software and data engineers to integrate data from multiple sources and ensure data quality and integrity;
Communicate complex analytical concepts and insights to technical and non-technical stakeholders in a clear and compelling manner;
Stay up-to-date with the latest advancements in data science, machine learning, and AI technologies, and proactively identify opportunities to apply them to business problems.

Proven experience as a Data Scientist, with a strong focus on developing and deploying machine learning models in a production environment.
Expertise in programming languages such as Python, with proficiency in data manipulation, analysis, and model development libraries (e.g., pandas, NumPy, scikit-learn, TensorFlow, PyTorch).
Proven experience with machine learning algorithms, such as supervised and unsupervised learning techniques, time series analysis, and natural language processing.
Strong statistical modelling skills and familiarity with statistical analysis tools.
Proficiency in SQL and working with relational databases.
Solid understanding of data engineering concepts, data preprocessing, and feature engineering techniques.
Strong problem-solving and analytical skills, with the ability to think creatively and develop innovative solutions.
Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams.
Strong project management skills, with the ability to prioritise tasks and meet deadlines.

The chance to work with a forward-thinking, ethical, and fun group of people and to develop and grow your skills in a fast-moving business

Senior Data Scientist

Key skills