Sagacity
Data Scientist
London
Posted about 21 hours ago
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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
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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
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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
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Skills
Predictive Modelling
Machine Learning
Python
R
SQL
Data Pipelines
Data Visualisation
Power BI
Tableau
Plotly
Sigma
Databricks
NLP
Feature Engineering
Stakeholder Management
Statistical Modelling
Location