Senior Data Scientist

Insurwave; London; On-site; GBP 70,000 - 75,000; Full time

Job summary

Join Insurwave as a Senior Data Scientist and take on a pivotal role in developing advanced AI solutions. You'll lead machine learning initiatives, work cross-functionally, and help shape the technical architecture of our innovative platform. If you have a passion for ML and a desire to drive impactful projects, this is the opportunity for you!

Benefits

25 days annual leave

Private Health Care

Life Insurance

5% pension plan matching

Cycle to work scheme

Flexible working options

Learning and development opportunities

Qualifications

• 5+ years in data science or ML with a focus on production systems.
• Expertise in machine learning techniques including NLP and deep learning.
• Experience with cloud-native solutions like Azure, AWS, or GCP.

Responsibilities

• Architect and implement machine learning solutions for various applications.
• Conduct advanced experimentation and model development.
• Build and maintain data ingestion and model deployment pipelines.

Skills

Machine Learning

Deep Learning

NLP

Python

SQL

Job description

Direct message the job poster from Insurwave

At Insurwave, we are looking for remarkable people who thrive on making an exceptional contribution. We now have an exciting opportunity for a Senior 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 Senior Data Scientist, you will be a technical expert in a multidisciplinary team developing advanced AI and analytics solutions for the Insurwave platform. You’ll take full ownership of complex machine learning initiatives, from problem framing and algorithm selection to scalable deployment and monitoring. You will work across the full machine learning lifecycle, designing sophisticated models, experimenting with cutting edge techniques and building robust, production-ready pipelines. You will also contribute to the technical architecture, champion best practices in MLOps, and guide the strategic direction of our AI capabilities. This is a hands-on role for someone who enjoys both deep technical work and cross-functional collaboration—driving forward innovation while ensuring reliability, performance, and business value

Responsibilities

• Architect and implement state-of-the-art machine learning solutions across use cases including intelligent document processing, risk modelling, and asset behaviour analytics
• Conduct advanced experimentation and model development, applying deep learning, LLMs, or probabilistic methods as appropriate
• Build high-performance, production-grade pipelines for data ingestion, feature engineering, model training, and real-time inference
• Develop and maintain robust APIs and infrastructure for scalable model deployment, monitoring, and versioning
• Apply rigorous model evaluation, performance tuning, and A/B testing methodologies
• Continuously monitor model behaviour post-deployment, addressing drift, feedback loops, and retraining strategies
• Contribute to and influence architectural decisions regarding ML systems and tooling (e.g., feature stores, orchestration frameworks, vector databases)
• Lead technical discussions, code reviews, and mentoring sessions for junior and mid-level data scientists
• Lead R&D initiatives by exploring and prototyping novel techniques from open-source innovation and emerging trends .

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:

• 5+ years hands on experience in data science or ML role with a strong focus on building and deploying production systems
• Deep technical expertise in machine learning, including supervised/unsupervised learning, NLP, and/or deep learning
• Experience with large language models (LLMs), transformers, and modern NLP techniques (e.g., fine-tuning, embeddings, prompt engineering)
• Proven track record in designing, scaling, and maintaining ML systems in production (cloud-native solutions preferred – e.g., Azure, AWS, GCP)
• Excellent problem-solving skills and a passion for innovation and continuous learning
• Strong Python programming skills to write clean, modular code and experience with core data science libraries
• Solid software engineering practices: version control, modular design, unit/integration testing, CI/CD pipelines
• 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 People 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
• 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!

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Production, Analyst, and Information Technology

• Industries

  Insurance, Technology, Information and Media, and Data Infrastructure and Analytics

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