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

Apply Now

Expert Analytics Engineer

Swiss Re
Manchester
1 year ago
Applications closed

Related Jobs

View all jobs

Lead R Engineer / Data Scientist - Integrated Pest Management (IPM)

Lead R Data Scientist - Sustainability

Lead Data Scientist - Remote

Lead Data Scientist - Remote

Engineering Manager – Electrical Systems

Engineering Manager – Electrical Systems

About the team

Join a diverse and talented team of engineers (10+) based out of our Manchester hub, located centrally in the city. Benefit from flexible working arrangements where you own the way you work, and have a career supported by likeminded people

About the role

We are building a greenfield, cloud-native risk data and services platform to deliver cutting-edge risk intelligence insights and risk transfer solutions to our clients. This is an opportunity to join a fast-paced working environment that leverages the latest technologies to provide unique and compelling solutions in a competitive marketplace. We operate with a startup mentality, challenge boundaries, and strive to combine leading-edge technology capabilities with new and emergent business models.

Your responsibilities:
• Engineer and maintain a host of pipelines from initial ingest to delivery on platform and within solutions
• Help design and develop a robust operational concept with health checks and good DevSecOps practices
• Ensure deployment and testing standards for solutions and platform are adhered to
• Investigate and effectively work with colleagues across domains and within the wider-engineering community to monitor and maintain data quality
• Work with Product Owners, Sales, UX Designers and Solutions Architects to understand and evaluate requirements from clients and internal users
• Work with an Agile mentality to deliver high value quickly in an iterative manner

About you

Must have technical skills:
• Strong understanding of data science techniques with modern programming languages and analytical frameworks
• Strong experience in writing clean, optimised code
• Strong understanding and knowledge of the analytics ecosystems, specifically PySpark
• Develop, standardise and improve documentation to suit all potential audiences
• Experience visualising business insights using state-of-the-art data analysis techniques
• Experience building reliable and robust datasets and interacting with external APIs

Must have soft skills
• Team player who works well with other people
• Continuous learning mindset
• Willingness to share knowledge across domains
• Good communication skills

Good to have skills
• Experience with geo-related data
• Experience within the insurance industry
• Experience with Palantir Foundry

About Swiss Re

Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 14,000 employees across the world.

Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability.

Keywords:  
Reference Code: 130156

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.

Why the UK Could Be the World’s Next AI Jobs Hub

Artificial Intelligence (AI) has rapidly moved from research labs into boardrooms, classrooms, hospitals, and homes. It is already reshaping economies and transforming industries at a scale comparable to the industrial revolution or the rise of the internet. Around the world, countries are competing fiercely to lead in AI innovation and reap its economic, social, and strategic benefits. The United Kingdom is uniquely positioned in this race. With a rich heritage in computing, world-class universities, forward-thinking government policy, and a growing ecosystem of startups and enterprises, the UK has many of the elements needed to become the world’s next AI hub. Yet competition is intense, particularly from the United States and China. Success will depend on how effectively the UK can scale its strengths, close its gaps, and seize opportunities in the years ahead. This article explores why the UK could be the world’s next global hub for artificial intelligence, what challenges it must overcome, and what this means for businesses, researchers, and job seekers.

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

Artificial Intelligence (AI) is one of the fastest-growing career fields in the UK and worldwide. Whether you are a student exploring AI for the first time, a graduate looking to build your portfolio, or an experienced professional upskilling for career growth, having access to free tools and platforms to practise AI skills can make a huge difference. In this comprehensive guide, we’ll explore the best free resources available in 2025, covering AI coding platforms, datasets, cloud tools, no-code AI platforms, online communities, and learning hubs. These tools allow you to practise everything from machine learning models and natural language processing (NLP) to computer vision, reinforcement learning, and large language model (LLM) fine-tuning—without needing a huge budget. By the end of this article, you’ll have a clear roadmap of where to start practising your AI skills for free, how to build real-world projects, and which platforms can help you land your next AI job.

Top 10 Skills in Artificial Intelligence According to LinkedIn & Indeed Job Postings

Artificial intelligence is no longer a niche field reserved for research labs or tech giants—it has become a cornerstone of business strategy across the UK. From finance and healthcare to manufacturing and retail, employers are rapidly expanding their AI teams and competing for talent. But here’s the challenge: AI is evolving so quickly that the skills in demand today may look different from those of just a few years ago. Whether you’re a graduate looking to enter the industry, a mid-career professional pivoting into AI, or an experienced engineer wanting to stay ahead, it’s essential to know what employers are actually asking for in their job ads. That’s where platforms like LinkedIn and Indeed provide valuable insight. By analysing thousands of job postings across the UK, they reveal the most frequently requested skills and emerging trends. This article distils those findings into the Top 10 AI skills employers are prioritising in 2025—and shows you how to present them effectively on your CV, in interviews, and in your portfolio.