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.ResponsibilitiesDeliver data science projects, from problem definition through to actionable insights and presentation of resultsDevelop and apply predictive modelling, supervised and unsupervised machine learning techniques to optimise client operations and business outcomesBuild and maintain data pipelines, ensuring data quality, consistency, and integrity across multiple sources and formatsTranslate complex analyses into clear, commercially relevant recommendations for clients and internal stakeholdersWork with client teams to identify analytical opportunities, support marketing strategy, and quantify the impact of data-driven decision-makingSupport pre-sales and client engagement, helping to demonstrate the value of data insightFollow best practices in data science, reproducible research, and ethical AICollaborate cross-functionally to enhance the company's products and marketing data solutionsWhat Success Looks Like in the RoleDelivery of impactful, high-quality analytics that directly inform and improve client marketing outcomesBuilding trust and credibility with clients as an analytical consultantRegular iteration on our machine learning methodologies, tools, and frameworksConsistent demonstration of technical excellence and commercial insight in all project deliverablesMeasurable contribution to the enhancement of Sagacity's data science and analytics product suiteCompetencies and Experience2+ 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 consultancyEducated to degree level (postgraduate preferred) in a quantitative discipline such as Computer Science, Statistics, Mathematics, Economics, or similarWorking knowledge of statistical and machine learning methods (e.g. logistic regression, gradient boosting, random forests, clustering, NLPProficient in Python and/or R, with strong experience in data quality, model development and feature engineeringStrong command of SQL and familiarity with data engineering environments such as Databricks or similarSkilled in data visualisation and storytelling using tools such as Power BI, Tableau, Plotly, or SigmaDemonstrated ability to translate technical findings into strategic recommendations for non-technical audiencesCommercially aware, with proven success in applying analytics to solve business problemsStrong communicator; able to engage stakeholders and present findings with clarity and confidenceSelf-motivated, organised, and proactive, with the ability to manage multiple priorities and stakeholders in a fast-paced environmentWilling to travel across the UK for client engagementsMust have the right to work in the UK and a commitment to ongoing professional development