Product Data Analyst | Cambridge | Climate Risk

SoCode Limited

Cambridge

5 months ago

Applications closed

Related Jobs

View all jobs

Data Analyst

Business Data Analyst

Data Science Manager, Financial Crime

Lead Machine Learning Scientist, Personalisation

Data Engineer

Product Data Analyst

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.

Industry Insights

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

Sep 11, 2025

Education Careers

The Best Free Tools & Platforms to Practise Machine Learning Skills in 2025/26

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

Sep 5, 2025

Jobs

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.

Aug 31, 2025

Careers

The Future of Machine Learning Jobs: Careers That Don’t Exist Yet

Machine learning (ML) has become one of the most powerful forces reshaping the modern world. From voice assistants and recommendation engines to fraud detection and medical imaging, it underpins countless applications. ML is no longer confined to research labs—it powers business models, public services, and consumer technologies across the globe. In the UK, demand for machine learning professionals has risen dramatically. Organisations in finance, retail, healthcare, and defence are embedding ML into their operations. Start-ups in Cambridge, London, and Edinburgh are pioneering innovations, while government-backed initiatives aim to position the UK as a global AI leader. Salaries for ML engineers and researchers are among the highest in the tech sector. Yet despite its current importance, machine learning is only at the beginning of its journey. Advances in generative AI, quantum computing, robotics, and ethical governance will reshape the profession. Many of the most vital machine learning jobs of the next two decades don’t exist today. This article explores why new careers will emerge, the roles likely to appear, how today’s roles will evolve, why the UK is well positioned, and how professionals can prepare now.