Data Scientist (Mid Level)

SHGH Group; London; Hybrid; GBP 40,000 - 50,000; Full time

Job summary

A global consultancy firm in London is seeking a mid-level data scientist to join their data team. You will own end-to-end data science projects, develop models, and translate complex findings into actionable insights. Ideal candidates have 3+ years of experience, strong skills in Python and SQL, and experience with visualisation tools. The starting salary ranges from £40,000 to £50,000, with a competitive benefits package.

Benefits

Competitive benefits package

Flexible salary based on experience

Qualifications

• 3+ years in a data science/analytics role applying models to real-world problems.
• Strong Python skills for analysis and modelling, familiarity with popular libraries.
• Hands-on experience with LLMs and agents including prompting and evaluation.

Responsibilities

• Own end-to-end data science projects including framing problems and sourcing data.
• Develop and maintain statistical and predictive models.
• Collaborate with colleagues across teams to integrate data insights.

Skills

Python for analysis and modelling

SQL

Data visualisation

Statistical foundations

LLMs and agents

Basic data engineering practices

Cloud environments

Tools

Power BI

Tableau

Docker

Job description

THE ROLE

We're looking for a mid-level data scientist to join our growing data team at Stonehaven. You'll bring around 3+ years of hands-on experience and be comfortable working across the full data lifecycle-from shaping questions and wrangling data, to building and validating models, to communicating clear, actionable insight. While the focus is data science, the role will also include elements of data engineering and analysis.

You'll help design and deliver statistical and machine-learning approaches that power our polling, policy and public-opinion work, and translate complex findings into crisp narratives that influence strategy and decision-making. You will also help the firm apply LLMs and agentic workflows to improve internal tools, automate processes, and enhance client delivery.

You will be responsible for :

• Owning end-to-end data science projects: framing problems, sourcing/engineering data, training/validating models, and communicating results and limitations
• Developing and maintaining statistical and predictive models (forecasting, classification/segmentation; causal/experimental methods where appropriate)
• Designing, evaluating and deploying LLM applications and lightweight agents (e.g. RAG, tool-using agents, workflow automation) to scale insight and operational efficiency
• Building clear, engaging visualisations and dashboards for internal and client use
• Working with survey/polling data to derive robust, defensible insights (weighting, sampling, uncertainty)
• Contributing to light data engineering: pipelines/ETL, data quality checks, documentation and reproducibility
• Collaborating with colleagues across strategy, policy and communications to ensure data insight is central to our work
• Improving internal tools and processes (version control, testing, code review, model monitoring) and supporting/mentoring junior colleagues where helpful

The Ideal Candidate

• ~3+ years in a data science/analytics role applying models to real-world problems
• Strong Python for analysis and modelling (pandas, NumPy, scikit-learn; statsmodels/PyMC a plus)
• SQL and practical experience cleaning, transforming and joining data at scale
• Experience creating visualisations or dashboards (Power BI, Tableau, Plotly, etc.)
• Sound statistical foundations (sampling, inference, uncertainty, experiment/A-B test design, evaluation)
• Hands-on with LLMs and agents (prompting/evaluation, RAG, vector search, orchestration frameworks; awareness of governance and data security considerations)
• Familiarity with survey/polling data and weighting methods - exposure to MRP Modelling a big plus.
• Basic data engineering practices (ETL/pipelines with tools like Airflow/dbt or equivalents) and software craftsmanship (Git, code review, unit tests)
• Exposure to cloud environments (AWS/GCP/Azure) and notebooks; Docker/CI/CD is a plus
• Ability to translate technical results into clear language and compelling stories for non-technical audiences

Person Profile

• An effective communicator with excellent written and verbal communication skills
• Excellent interpersonal skills and ability to work well in a team
• Able to work under pressure and to tight deadlines, with good prioritisation and follow-through
• Respectful and works with integrity
• Intellectually curious about current affairs and interested in the latest developments in politics, business and global trends
• Comfortable with change and eager to problem-solve with your team, focusing on solutions
• Able to build client relationships and balance the needs of multiple stakeholders

ABOUT STONEHAVEN

Stonehaven is a UK-based, globally operating consultancy that is home to some of the best data and insight, policy, advocacy, sustainability, public affairs and communications specialists in the business. We bring together the capabilities, expertise, and insight to make impactful policy ideas a reality for clients.

Stonehaven has long-standing retained relationships with large scale enterprise clients and NGOs, working on critical transition issues requiring deep and significant trade offs.

Stonehaven is part of SHGH, a group of cross-border advisory firms, guiding clients through an unprecedented period of change in policy, politics, regulation, and sustainable growth. SHGH companies include strategy and communications consultancy Stonehaven, international sustainability consultancy Robertsbridge, and cross border economics, research and policy firm, Public First. As a Group we have offices in London, Dubai, Singapore, Jakarta, and Washington DC.

SALARY AND BENEFITS

Starting salary for the role is £40,000 - £50,000 but there is flexibility subject to experience. We offer a competitive benefits package.

TO APPLY

Please complete the questions and submit a CV using the application form below.

Stonehaven is proud to be an equal opportunity employer. We are committed to equal opportunity and equal pay regardless of background, including race, religion, sex, national origin, sexual orientation, disability or gender identity.

If you require any reasonable adjustments to participate in this recruitment process, please get in touch.

Please only apply if you have the right to work in the UK.

Department Stonehaven Locations London Remote status Hybrid