Insurance Data Science Consultant London, United Kingdom

Earnix; Greater London; Hybrid; GBP 95,000 - 130,000; Full time

Job summary

Earnix is seeking a Senior Insurance Data Science Consultant to join our analytics team. You will lead pricing strategy discussions, develop predictive models, and translate complex analytics into actionable business insights for senior leaders.

The role requires deep actuarial and analytical expertise, strong ML skills, and hands-on programming in Python or R, with experience integrating models into real-time pricing workflows.

Qualifications

• 5+ years of experience in the insurance industry, with deep expertise in analytics, actuarial modelling, and predictive techniques.
• Strong hands-on experience with machine learning and statistical modelling to improve the accuracy, performance, and business impact of risk and pricing models.
• Advanced proficiency in programming languages such as Python or R, applied to building, validating, and deploying scalable analytical solutions.
• Experience working with intelligent decisioning platforms (such as Earnix or similar), integrating models into real-time pricing and personalisation workflows.
• Strong executive presence with the ability to engage, influence, and advise senior stakeholders in client organisations.
• Willingness and flexibility to travel up to 25% domestically and internationally.

Responsibilities

• 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.

Skills

Analytics

Predictive modelling

Machine learning

Actuarial modelling

Executive engagement

Tools

Python

R

Earnix

Job description

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.

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 ininfluencing 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

5+ years of experience in the insurance industry, with deep expertise in analytics, actuarial modelling, and predictive techniques.

Strong hands-on experience with machine learning and statistical modelling to improve the accuracy, performance, and business impact of risk and pricing models.

Advanced proficiency in programming languages such as Python or R, applied to building, validating, and deploying scalable analytical solutions.

Experience working with intelligent decisioning platforms (such as Earnix or similar), integrating models into real-time pricing and personalisation workflows.

Strong executive presence with the ability to engage, influence, and advise senior stakeholders in client organisations.

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

You’ll excel by:

Communicating with clarity and executive presence, making complex data and models actionable for senior leadership.

Building trusted client relationships,understanding business needs, and delivering insights that drive measurable strategic outcomes.

Collaborating across teams, sharing knowledge and mentoring others to elevate theorganization’s analytical capability.

Adapting quickly to new challenges, staying curious and proactive in a fast-paced, innovation-driven environment.