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