Data Scientist

Insurwave
City of London, England
12 months ago
Applications closed

Related Jobs

View all jobs
Spotlight

AI Compiler Engineer

IC Resources Bristol, Eng, United Kingdom
£80,000 pa Hybrid
Spotlight

Programme Manager (Forward Deployed)

M-1 Intelligence London, United Kingdom
£60,000 – £75,000 pa Remote

Data Scientist

Ocado London, United Kingdom

Data Scientist

PhysicsX United Kingdom
US$120,000 – US$240,000 pa

Data Scientist

Adepto Technical Recruitment Ltd Farnborough, Hampshire, GU14 7JT, United Kingdom
£45,000 – £60,000 pa

Data Scientist

Faculty London, United Kingdom
Hybrid

Data Scientist

Alexander Mann Solutions - Contingency London, United Kingdom

Data Scientist

Gleeson Recruitment Group London, United Kingdom
Posted
8 Oct 2025 (12 months ago)

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

  1. Preliminary phone call with the Talent Team(no video required)
  2. First video interview with our People Experience Manager
  3. 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!

Industry Insights

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

What Is an AI Forward Deployed Engineer? The Fastest-Growing Job in AI for 2026

If you have been watching AI job boards over the past year, one title keeps surfacing again and again: the forward deployed engineer, or FDE. It has gone from a niche term known mainly to Palantir alumni to arguably the hottest role in the entire AI hiring market. Job postings for forward deployed engineers have exploded, salaries have climbed past levels most software engineers will ever see, and the biggest names in AI — OpenAI, Anthropic, Google, Salesforce, Databricks and Palantir — are all competing for the same small pool of talent. So what exactly is an AI forward deployed engineer, why has demand surged so dramatically, and how do you position yourself to land one of these roles? This guide breaks it all down for AI engineers, software engineers and data scientists looking at their next move.