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Insurance Data Science Consultant

Earnix

Hybrid
London, UK
Full-time
Senior
Manager
5+ yrs
Salary not listedPosted 3w ago

Real job — pulled straight from Earnix’s careers page · Verified October 16, 2026 · No reposts.

Job description

Earnix is hiring a Insurance Data Science Consultant — a full-time, based in London, UK role. Apply directly on Earnix's careers page below.

Insurance Data Science Consultant

Location: London, United Kingdom (GB)

Description

We are seeking a highly experienced and strategically-minded Senior Insurance Data Science Consultant to join our growing analytics team. This role is ideal for a Data Scientist or Actuary with experience and deep expertise in predictive modeling, machine learning, and insurance analytics. You will play a pivotal role in influencing client decision-making, shaping pricing strategies and delivering actionable insights to clients across multiple lines of business. 

What you'll do

Lead pricing strategy discussions using advanced analytics and actuarial insight, ensuring decisions are grounded in data and aligned to business outcomes.

Engage directly with senior executives, translating complex technical results into clear, compelling narratives that drive alignment and action.

Build and evolve predictive models that assess risk and forecast demand—directly shaping pricing and business decisions across insurance products.

Influence decision-making at the highest levels by connecting analytics to business value and strategic priorities.

Demonstrate Earnix capabilities in executive and client settings, showing not just how the platform works—but what it enables.

Lead onboarding and training for new users, ensuring fast adoption and rapid time-to-value from day one.

Act as a trusted advisor to clients, bridging business, analytics, and technology to deliver measurable impact. 

Requirements

You’ll do it using:

5+ years of experience in data science, advanced analytics, statistical modelling, or a related analytical role, ideally within insurance, financial services, or another data-driven industry.

Strong hands-on experience with machine learning, predictive analytics, and statistical modelling, with the ability to develop, validate, and optimise models that deliver measurable business impact.

Advanced proficiency in Python or R, alongside strong SQL skills, with practical experience in data manipulation, statistical analysis, model development, and implementing scalable analytical solutions.

Strong quantitative and problem-solving capabilities, with experience working with complex datasets, identifying patterns, and translating analytical findings into actionable business recommendations.

Experience with pricing, risk modelling, optimisation, or decisioning solutions, ideally using platforms such as Earnix or similar technologies. Previous exposure to insurance pricing or actuarial analytics would be advantageous but is not essential.

Strong communication and stakeholder management skills, with the ability to explain complex analytical concepts clearly and confidently to both technical and non-technical audiences, including senior executives.

Fluent German (written and spoken), with the ability to confidently lead client discussions, presentations, and workshops in German, alongside strong professional English communication skills.

Willingness and flexibility to travel up to 25% domestically and internationally.


You’ll excel by:

Combining strong technical expertise with commercial awareness, translating advanced analytics, machine learning, and statistical models into practical solutions that drive measurable business outcomes.

Communicating with clarity and executive presence, making complex analytical concepts accessible and actionable for senior stakeholders and business leaders.

Building trusted client relationships, understanding business challenges, identifying opportunities for analytical innovation, and delivering solutions that create tangible value.

Collaborating across technical and business teams, sharing knowledge, mentoring colleagues, and contributing to the continuous development of analytical capabilities.

Demonstrating curiosity, adaptability, and a proactive mindset, quickly understanding new industries and business challenges while embracing emerging technologies and analytical techniques.


Position Intro

Earnix is the premier provider of mission-critical, cloud-based intelligent decisioning across pricing, rating, underwriting, and product personalization. These fully-integrated solutions provide ultra-fast ROI and are designed to transform how global insurers and banks are run by unlocking value across all facets of the business. Earnix has been innovating for insurers and banks since 2001 with customers in over 35 countries across six continents and offices in the Americas, Europe, Asia Pacific, and Israel.


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Frequently asked questions

What skills are required for Insurance Data Science Consultant at Earnix?

The required skills for Insurance Data Science Consultant at Earnix include: Python, R, Machine Learning, Data Science.

What is the seniority level for Insurance Data Science Consultant at Earnix?

Insurance Data Science Consultant at Earnix is a Senior / Manager level position.

How do I apply for Insurance Data Science Consultant at Earnix?

You can view the full description and apply for Insurance Data Science Consultant at Earnix on EchoJobs: https://echojobs.io/job/earnix-insurance-data-science-consultant-v62od.