Senior Data Scientist - UK Based Client

We are on the lookout for a skilled and motivated Senior Data Scientist to join our team and accelerate the development, deployment and adoption of machine learning models within the business. The successful candidate will be a curious, innovative, and pro-active problem solver who can leverage their experience in data engineering, machine learning and GenAI to deliver novel solutions to the business.

Within our team, we value ambition and continuous learning. This role offers significant growth opportunities for driven individuals, including exposure to impactful projects, collaboration with cross-functional teams, and the chance to shape the future of data-driven decision-making within the organization.

Responsibilities

What you’ll be doing:

Build robust and scalable pipelines to extract, transform, and load data for analytics and machine learning workflows.
Ensure data quality, integrity, and accessibility through automated data quality checks and validation processes.
Translate complex business logic and strategies into actionable data science solutions.
Utilise a range of statistical methods and machine learning algorithms to develop predictive models and forecasting solutions that address business challenges.
Deploy, monitor and maintain models in production using best practices in MLOps.
Lead experimentation initiatives (e.g., A/B testing, pilot programs) to validate data-driven hypotheses.
Use Power BI or Python-based visualizations to translate analyses into clear, actional business insights that drive decision-making.
Identify and explore new opportunities to leverage data and software for improving products, processes, and customer experiences.
Collaborate within an Agile methodology, providing time/resource estimates for proposed projects and assisting in the development of colleagues’ data science skills.

This list is not exhaustive and may be added to or amended from time to time.

What we’re looking for:

Essential: Bachelor’s degree in Data Science, Computer Science, Mathematics, Statistics, or a related field.
Essential: Minimum of 4 years of experience in a Data Science role.
Essential: Proficiency in Python and strong command of SQL.
Essential: Experience with Git for version control.
Essential: Proficiency in data visualization tools, preferably Power BI.
Familiarity with Azure DevOps or similar collaborative development tools.
Excellent communication and stakeholder management skills, with the ability to present complex ideas clearly to diverse audiences.
Proactive and solution-oriented mindset, with the ability to identify and act on opportunities for improvement.