Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Product Data Analyst | Cambridge | Climate Risk

SoCode Limited
Cambridge
6 months ago
Applications closed

Related Jobs

View all jobs

Applied Scientist II (Machine Learning), ITA - Automated Performance Evaluation

Data Analyst

Data Analyst - Reigate

Data Engineer | Health Tech | London - Dagster, dbt, BigQuery, LLMs

Senior Data Engineer

Senior Data Engineer

An innovative, fast-growing SaaS company operating at the intersection of climate science, environmental risk, and cutting-edge analytics is looking for a Product Data Analyst to join their team. Following a successful Series B funding round, the company is scaling rapidly and expanding its suite of environmental analytics tools. This business partners with globally recognized brands and has strong academic foundations, offering deep expertise in climate risk modelling, compliance analytics, and corporate sustainability solutions. The Role: As a Product Data Analyst, you will work across cross-functional teams to shape, enhance, and drive the success of the company's environmental analytics platform and internal tooling. You will act as the bridge between product management, engineering, modelling teams, and client solutions — helping to design solutions that enable clients to translate complex environmental data into actionable insights. You’ll play a crucial role in scaling internal tools and enhancing the platform's capabilities, with a particular focus on business intelligence, reporting, and user-centric solutions. Key Responsibilities:Translate complex business requirements into flexible, scalable, and intuitive solutions.Design and develop interactive reports and dashboards using Power BI.Identify opportunities for process improvements, streamlining workflows, and scaling solutions.Work closely with internal and external stakeholders to define product requirements and deliver innovative tools.Prioritize and manage multiple concurrent projects, ensuring high-quality delivery.Contribute to design sprints and testing of new product ideas in the market.About You:2-5 years of commercial experience in business intelligence, data analytics, or a similar role.Proven experience building end-to-end BI dashboards (preferably with Power BI).Ability to translate complex analytics into intuitive, decision-relevant insights.Strong communication and stakeholder management skills.Coding experience in statistical languages (e.g., Python, R, Matlab) is highly desirable.Experience with SQL querying and data modelling would be beneficial.Exposure to Corporates, Financial Services, or Insurance industries is a plus.Prior experience engaging directly with clients to gather product requirements is advantageous.Benefits:Competitive base salary + annual discretionary bonusEmployer pension contributionsPrivate medical insuranceFlexible working environmentCommitment to diversity, equity, and inclusion

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Jobs

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Jobs

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.