Hybrid UK Data Scientist — Commercial Analytics & Insights

Stadtwerke OELSNITZ/V. GmbH; Greater London; Hybrid; GBP 60,000 - 90,000; Full time

Job summary

Sagacity is seeking a Data Scientist to join our Analytics Team in a hybrid UK role. You will deliver data science projects, develop predictive models, and translate analyses into actionable, commercially relevant recommendations for clients and internal teams.

You will work with the Data & Analytics Manager and senior colleagues to drive data-driven strategies, build data pipelines, and communicate insights with clarity. Travel across the UK may be required.

Qualifications

• 2+ years’ experience in data science, analytics, or statistical modelling, ideally with commercial experience within Telecoms, Banking, Utilities or 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)
• 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 visualization 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 Sagacity values

Responsibilities

• Deliver data science projects from problem definition through actionable insights and presentation of results
• Develop and apply predictive modelling and ML techniques to optimise client operations and outcomes
• Build and maintain data pipelines ensuring data quality and integrity across sources
• Translate complex analyses into clear, commercially relevant recommendations
• Collaborate with client teams to identify analytical opportunities and quantify impact
• Support pre-sales and client engagement, demonstrating the value of data insight
• Follow best practices in data science, reproducible research, and ethical AI
• Collaborate cross-functionally to enhance Sagacity’s products and marketing data solutions

Skills

Python/R

SQL

Data visualization

Machine learning

Stakeholder communication

Education

Bachelor's degree in quantitative field

Tools

Databricks

Power BI

Tableau

Plotly

Sigma

Job description

Sagacity is seeking a Data Scientist to join our Analytics Team in a hybrid UK role. You will deliver data science projects, develop predictive models, and translate analyses into actionable, commercially relevant recommendations for clients and internal teams.

You will work with the Data & Analytics Manager and senior colleagues to drive data-driven strategies, build data pipelines, and communicate insights with clarity. Travel across the UK may be required.