Data Scientist

London Source: WhatJobs

£65,000–£90,000

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