Data Scientist

We are looking for a Data Scientist to join our growing data capability and support end clients across a variety of domains. This is a hands-on role where you will work at the intersection of data, analytics, and business strategy, transforming complex datasets into actionable insight and building scalable solutions that support smarter decision-making.

You will work on a range of analytical and modelling challenges, from exploratory analysis and forecasting through to machine learning and decision-support tools. The role offers hybrid working from Manchester, with regular company-paid travel to client locations as required., * Turn complex data from multiple sources into clear, insightful analysis that supports strategic and operational decision-making.

• Build evidence-based narratives and present findings in a compelling way to both technical and non-technical stakeholders.
• Develop predictive models, forecasting approaches, optimisation techniques, and scenario analysis to identify commercially valuable opportunities.
• Design, build, validate, and deploy scalable data science solutions and decision-support tools.
• Develop and maintain robust data pipelines and analytics workflows to ensure data quality, reliability, and efficiency.
• Deliver end-to-end data science solutions, from problem definition and data acquisition through to modelling, validation, and deployment.
• Work closely with client stakeholders to understand business challenges and translate them into analytical solutions.
• Share expertise, support junior colleagues where required, and promote best practice across the wider team., Hybrid working based in Manchester, with flexibility depending on client and project requirements. Occasional travel to client locations across UK.

• Experience with optimisation techniques such as linear programming, scenario modelling, or portfolio optimisation.
• Exposure to cloud platforms such as Azure or AWS.
• Familiarity with modern data stack tools such as Snowflake, dbt, Airflow, or Databricks.
• Experience using data visualisation tools such as Power BI or Tableau.
• Awareness of NLP, LLMs, or AI-driven automation workflows.
• Exposure to geospatial or spatial analytics.
• Experience mentoring or supporting junior data professionals.

Desirable

• Experience with AWS or multi-cloud environments.
• Exposure to Site Reliability Engineering practices, including monitoring, SLIs/SLOs, and observability.
• Experience working in large-scale or standardised cloud environments.
• Ability to influence engineering standards and contribute to technical leadership.

Competitive, dependent on experience.

Prolynk is an IT consultancy delivering cloud, infrastructure, platform engineering, and automation solutions to clients across multiple sectors. We help organisations build secure, scalable, and reliable technology platforms that support modern software delivery.