Data Scientist

As a Data Scientist within the Analytics Team, you will contribute to data-driven strategies for our clients. Working closely with the Data & Analytics Manager and senior colleagues, you will deliver data science projects and collaborate with stakeholders across data strategy, sales, account management, delivery and marketing. You will bring solid technical skills and commercial awareness to deliver data solutions that drive measurable operational performance.

This is a hands-on role - ideal for someone who thrives on translating data into actionable insight and producing high-quality outcomes. Responsibilities Deliver data science projects, from problem definition through to actionable insights and presentation of results Develop and apply predictive modelling, supervised and unsupervised machine learning techniques to optimise client operations and business outcomes Build and maintain data pipelines, ensuring data quality, consistency, and integrity across multiple sources and formats Translate complex analyses into clear, commercially relevant recommendations for clients and internal stakeholders Work with client teams to identify analytical opportunities, support marketing strategy, and quantify the impact of data-driven decision-making Support pre-sales and client engagement, helping to demonstrate the value of data insight Follow best practices in data science, reproducible research, and ethical AI Collaborate cross-functionally to enhance the company’s products and marketing data solutions What Success Looks Like in the Role Delivery of impactful, high-quality analytics that directly inform and improve client marketing outcomes Building trust and credibility with clients as an analytical consultant Regular iteration on our machine learning methodologies, tools, and frameworks Consistent demonstration of technical excellence and commercial insight in all project deliverables Measurable contribution to the enhancement of Sagacity’s data science and analytics product suite Competencies and Experience 2 years’ experience in data science, analytics, or statistical modelling, ideally with commercial experience within the Telecoms, Banking or Utilities industries;

or within a data-related consultancy Educated to degree level (postgraduate preferred) in a quantitative discipline such as Computer Science, Statistics, Mathematics, Economics, or similar Working knowledge of statistical and machine learning methods (e.g. logistic regression, gradient boosting, random forests, clustering, NLP Proficient in Python and/or R, with strong experience in data quality, model development and feature engineering Strong command of SQL and familiarity with data engineering environments such as Databricks or similar Skilled in data visualisation and storytelling using tools such as Power BI, Tableau, Plotly, or Sigma Demonstrated ability to translate technical findings into strategic recommendations for non-technical audiences Commercially aware, with proven success in applying analytics to solve business problems Strong communicator;

able to engage stakeholders and present findings with clarity and confidence Self-motivated, organised, and proactive, with the ability to manage multiple priorities and stakeholders in a fast-paced environment Willing to travel across the UK for client engagements Must have the right to work in the UK and a commitment to ongoing professional development