Data Scientist

Sagacity; Greater London; On-site; GBP 70,000 - 90,000; Full time

Job summary

Sagacity is seeking a Data Scientist to join the Analytics Team. You will deliver data science projects, applying predictive modelling and ML techniques to optimise client operations while collaborating with stakeholders across data strategy, sales, and marketing.

The role combines hands-on modelling with translating insights into strategic, commercially relevant recommendations. Ideal candidates have 2+ years of data science experience and a degree in a quantitative field.

Qualifications

• 2+ years' experience in data science, analytics or statistical modelling.
• Degree in a quantitative field (postgraduate preferred).

Responsibilities

• Deliver data science projects from problem definition to actionable insights.
• Develop and apply predictive modelling to optimise client operations and outcomes.
• Build and maintain data pipelines ensuring data quality across sources.
• Translate analyses into clear, commercially relevant client recommendations.
• Collaborate with client teams to identify analytical opportunities and quantify impact.
• Support pre-sales and client engagement to demonstrate data value.
• Follow best practices in data science and ethical AI.
• Collaborate cross-functionally to enhance Sagacity's data solutions.

Skills

Python

R

SQL

ML techniques

NLP

Data viz

Communication

Travel UK

Education

Degree in quantitative field

Postgraduate preferred

Tools

Databricks

Power BI

Tableau

Plotly

Sigma

Job description

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.

About the Role

As a Data Scientist within the Analytics Team, you will contribute to data-driven strategies for our clients.

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

Qualifications

• 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

Required Skills

• 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

Preferred Skills

• 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