Data Scientist – Mid-level

🕒 May 21

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Stonehaven Global Holdings (SHGH)

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤝 B2B

🏛️ Government

🌍 Social Impact

B2B • Government • Social Impact

Stonehaven Global Holdings (SHGH) is a group of cross-border advisory firms that bring together strategy, communications, sustainability, economics, policy, and public affairs expertise. SHGH comprises Stonehaven (data & insight, policy, advocacy and communications), Robertsbridge (sustainability strategy and stakeholder engagement), and Public First (economics, policy and opinion research). The group advises global companies, governments, NGOs and institutions on navigating regulatory, political and sustainability transitions through research-driven strategy, stakeholder mediation, and public opinion testing.

📋 Description

• Help build, test and improve statistical and machine-learning models using polling, demographic, economic and behavioural data • Work with senior colleagues to design modelling approaches that answer real-world political, policy and commercial questions • Support the development of proprietary models, including models of public opinion in Britain and other countries • Help translate complex model outputs into clear findings for consultants, clients and non-technical audiences • Contribute to internal tools and workflows that make our analysis faster, more reliable and easier to use • Use Python, SQL, modern data libraries and AI-enabled tools to prototype, analyse and deliver work efficiently • Work flexibly across projects, sometimes focused on modelling, sometimes on analysis, automation, data preparation or product development • Help ensure our analytical work is robust, well-documented and delivered to a high standard

🎯 Requirements

• Around three years’ experience in a data science, statistical modelling, research science or similar role • Strong Python skills, including experience with modern data science libraries • Good SQL skills and confidence working with structured datasets • Experience building statistical, predictive or machine-learning models • Strong understanding of data quality, model validation and uncertainty • Interest in public opinion, politics, policy, economics or social research • Ability to work with messy real-world data and turn it into structured, useful analysis • Confidence using AI tools to speed up research, coding, analysis or workflow development • Experience with polling, survey data, demographic modelling or MRP would be a strong advantage, but is not essential

🏖️ Benefits

• 25 days annual holiday with additional office closure days • A discretionary annual bonus (potential of 15% of annual salary), based on personal and business performance • Enhanced company pension contribution of 5% of annual salary • Private healthcare cover, inclusive of dental and optical • An enhanced family leave package • Bike and Electric Vehicle salary sacrifice schemes • An employee assistance programme with 24/7 access to online, phone or face-to-face counselling • Bike storage and showers on site