National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Scientist

Insurwave Limited
London
1 week ago
Create job alert

At Insurwave, we are looking for remarkable people who thrive on making an exceptional contribution. We now have an exciting opportunity for a Data Scientist to play a key role in our Data and AI team. If making a difference gets you out of bed in the morning, then this could be the perfect opportunity and the start of something incredible!


What will you be doing?

As a Mid-Level Data Scientist, you will play a critical role within a multidisciplinary team of data scientists, analysts, and domain experts, developing advanced AI and analytics solutions for the Insurwave platform. This self-sufficient team is responsible for the entire delivery lifecycle—from design and development to testing, deployment, and ongoing support. You will work across the full machine learning workflow, applying advanced analytics and ML techniques to extract structured insights from complex insurance submission documents, conduct exposure analytics, and model asset behaviour for the commercial insurance market.


Responsibilities

  • Design, build, and deploy machine learning models that meet defined performance and business requirements
  • Develop production-ready data science solutions and maintain high-quality, testable code using modern development practices
  • Build and maintain APIs, data pipelines, and automated workflows to support model deployment, monitoring, and lifecycle management
  • Analyse large and complex datasets, applying statistical and machine learning techniques to solve real-world business problems
  • Monitor model performance in production, investigate failure cases or drift, and recommend iterative improvements
  • Track and report key performance and operational metrics
  • Contribute to best practices in version control, testing, CI/CD, and MLOps
  • Share expertise through peer code reviews, documentation, and collaborative learning initiatives
  • Stay current with emerging trends in AI/ML, particularly in areas such as LLMs, NLP, and intelligent document automation


What skills and experience will I need to bring with me?

You’ll need to be able to demonstrate the core skills for the role, although more importantly if you don’t quite have all the skills, you have a passion and willingness for learning. Here’s what the teams will be looking for:

  • 3–5 years of professional experience in data science ML, or applied AI role
  • Strong problem-solving and analytical skills with the ability to approach complex technical challenges independently
  • Proven experience in building, deploying, and maintaining ML models in production (cloud-based environments preferred)
  • Solid understanding of core machine learning concepts, algorithms, and evaluation metrics
  • Practical knowledge of LLMs and NLP techniques; experience using frameworks like Hugging Face Transformers or OpenAI APIs
  • Strong Python programming skills to write clean, modular code and experience with core data science libraries
  • Familiarity with software development workflows, including Git, code reviews, and unit testing
  • Comfortable working with both structured and unstructured data; experience writing with SQL queries


To be a successful Insurwaver, your attitude is as important. Insurwavers, like to Think Big, building with ambition, they put Client’s experience first and are incredible Team Players, who have each other's back. These are our Values which drive our Culture, personified by our Leadership Team and is key to what we are looking for in you.


Interview steps

  • Preliminary phone call with the Talent Team(no video required)
  • First video interview with our People Experience Manager
  • Final interview with the hiring panel,


  • Don’t be alarmed if there are other stages in the process, such as technical code tests, it’s all part of the plan for some of our roles.


What is Insurwave?

Insurwave is a disruptive Insurtech company leveraging the power of AI to consolidate and visualise data, helping clients to understand risk and make smarter risk transfer and insurance decisions.

Our platform offers an integrated insurance management experience, from ai-driven data ingestion through to collecting and consolidating risk data providing insight on business exposure changes in real-time.


What’s in it for me?

You’ll be part of a supportive team, working in a Values led culture, doing the exciting work that you thrive on, making a real difference and having the impact you know you can have. As well as incredible job satisfaction, you’ll also get:

  • Lots of Holidays !: 25 days annual leave | 8 Bank Holidays
  • More than a competitive salary: Private Health Care - Critical Illness Insurance - Life Insurance - 5% pension plan matching - cycle to work scheme - weekly online Yoga sessions
  • Great work-life balance - Flexible working options
  • A commitment to learning & development opportunities to support you in realising your potential


Altogether this makes Insurwave a fabulous place to work with incredible, friendly and supportive people!

Related Jobs

View all jobs

Data Scientist

Data Scientist - AI / ML, Python, Scripting, Cyber Security

Data Scientist - Inside IR35 contract

Data Scientist

Data Scientist - Commodities

Data Scientist

National AI Awards 2025

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.

LinkedIn Profile Checklist for AI Jobs: 10 Tweaks That Triple Recruiter Views

In today’s fiercely competitive AI job market, simply having a LinkedIn profile isn’t enough. Recruiters and hiring managers routinely scout for top talent in machine learning, data science, natural language processing, computer vision and beyond—sometimes before roles are even posted. With hundreds of applicants vying for each role, you need a profile that’s optimised for search, speaks directly to AI-specific skills, and showcases measurable impact. By following this step-by-step LinkedIn for AI jobs checklist, you’ll make ten strategic tweaks that can triple recruiter views and position you as a leading AI professional. Whether you’re a fresh graduate aiming for your first AI position or a seasoned expert targeting a senior role, these actionable changes will ensure your profile stands out in feeds, search results and recruiter queues. Let’s dive in.

Part-Time Study Routes That Lead to AI Jobs: Evening Courses, Bootcamps & Online Masters

Artificial intelligence (AI) is reshaping industries at an unprecedented pace. From automating mundane tasks in finance to driving innovation in healthcare diagnostics, the demand for AI-skilled professionals is skyrocketing. In the United Kingdom alone, AI is forecast to deliver over £400 billion to the economy by 2030 and generate millions of new jobs across sectors. Yet, for many ambitious professionals, taking time away from work to upskill can feel like an impossible ask. Thankfully, part-time learning options have proliferated: evening courses, intensive bootcamps and flexible online master’s programmes empower you to learn AI while working. This comprehensive guide explores every route—from short tasters to deep-dive MScs—showcasing providers, course formats, funding options and practical tips. Whether you’re a career changer, a busy manager or a self-taught developer keen to go further, you’ll discover a pathway to fit your schedule, budget and goals.