Data Scientist

Hollybank Trustees Ltd; Greater London; Hybrid; GBP 65,000 - 90,000; Full time

Job summary

Sagacity is seeking a Data Scientist within the Analytics Team to contribute to data-driven strategies for clients. You will work with the Data & Analytics Manager and senior colleagues to 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 translate data into actionable insights, deliver high-quality outcomes, and help enhance Sagacity's data

Qualifications

• 2+ years' experience in data science, analytics, or statistical modelling.
• Degree in a quantitative field (degree level; postgraduate preferred).
• Proficient in Python and/or R, with strong SQL skills.
• Experience with data visualization tools (Power BI/Tableau/Plotly/Sigma).
• Experience applying ML methods such as regression, clustering, and NLP.
• Commercial awareness and ability to translate analyses into business insights.

Responsibilities

• Deliver data science projects from problem definition to insights and presentation.
• Develop and apply predictive modelling to optimise client outcomes.
• Build and maintain data pipelines ensuring data quality across sources.
• Translate analyses into clear, actionable recommendations for clients and teams.
• Support pre-sales and client engagement, demonstrating value of data insights.
• Collaborate across analytics, marketing, sales, and delivery teams.
• Follow best practices in data science and ethical AI.
• Travel to client engagements across the UK.

Skills

Python

R

SQL

Data analysis

Machine learning

Communication

Education

Bachelor's degree in quantitative field

Tools

Databricks

Power BI

Tableau

Plotly

Sigma

Job description

Location: Hybrid / Monument St, London EC3R 8AJ, UK
job type: Permanent / Full-time
Sector and subsector: IT | Data Science
Salary: Competitive salary

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