At a Glance
- Tasks: Lead pricing strategies and build predictive models to influence client decisions.
- Company: Earnix, a global leader in intelligent decisioning for insurers and banks.
- Benefits: Hybrid work environment, competitive salary, and opportunities for professional growth.
- Other info: Collaborative culture with opportunities to mentor and elevate analytical capabilities.
- Why this job: Make a real impact in the insurance industry with cutting-edge analytics.
- Qualifications: 5+ years in insurance analytics, strong programming skills in Python and R.
The predicted salary is between 63000 - 77000 £ per year.
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:
- 5+ years of experience in the insurance industry, with deep expertise in analytics, actuarial modeling, and predictive techniques.
- Strong hands-on experience with machine learning and statistical modeling to improve the accuracy, performance, and business impact of risk and pricing models.
- Advanced proficiency in programming languages such as Python and 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 personalization workflows.
- Strong executive presence with the ability to engage, influence, and advise senior stakeholders in client organizations.
- 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 the organization’s analytical capability.
- Adapting quickly to new challenges, staying curious and proactive in a fast-paced, innovation-driven environment.
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.
Insurance Data Consultant in London employer: Earnix
Earnix is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration within the fast-paced insurtech sector. As a Sales Director, you will benefit from extensive growth opportunities, working alongside global teams to drive meaningful change for insurers while enjoying a hybrid work environment that promotes work-life balance. With a commitment to employee development and a focus on delivering world-class customer experiences, Earnix stands out as a rewarding place to build your career.
StudySmarter Expert Advice🤫
We think this is how you could land Insurance Data Consultant in London
✨Dive Into Industry Networking Events
Get your foot in the door by attending insurance industry events and conferences. Not only will you learn about the latest trends, but you'll also meet potential employers and industry peers. Check out local chapters of professional bodies like the Chartered Insurance Institute for valuable meetups.
✨Use LinkedIn to Your Advantage
Don’t underestimate the power of LinkedIn in the insurance world. Engage with industry content, join relevant groups, and connect with professionals at companies you admire (like Earnix). A thoughtful message explaining your interest can really make a difference!
✨Look Out for Graduate Schemes
Many firms in insurance have structured graduate programmes. Keep an eye on application windows and utilise your university's career services for insider tips. These schemes are designed to develop talent and often lead to permanent roles after your initial training.
✨Leverage Your Current Connections
Got friends or family in the industry? Now’s the time to reach out! Personal referrals can give you a head start, so let them know you're on the lookout for full-time opportunities at places like Earnix. Don’t shy away from asking for a coffee chat; you never know what doors it might open!
We think you need these skills to ace Insurance Data Consultant in London
Some tips for your application 🫡
Highlight Your Analytical Skills:In insurance, we love a candidate who can crunch numbers and analyse data effectively. When crafting your CV, make sure to showcase any relevant coursework or experiences that highlight your analytical abilities, especially if you’ve tackled risk assessment or financial modelling.
Showcase Industry Knowledge:Don’t be shy about your knowledge of the insurance sector! We want to see that you've done your homework on current trends, regulations, and challenges in the industry. Mention any relevant projects or studies you’ve completed that demonstrate your understanding of the field in your cover letter.
Craft a Compelling Cover Letter:Your cover letter should tell us why you’re passionate about insurance. Share any personal experiences or what drew you into this profession. We’re looking for enthusiasm and a clear motivation for why you want to be part of our team at Earnix.
Tailor Your CV for the Role:Don't just send a generic CV! Focus on tailoring it specifically for the insurance role at Earnix. Highlight relevant skills such as risk management, customer service experience, or any certifications you've earned in the industry to make your application stand out.
How to prepare for a job interview at Earnix
✨Know Your Numbers: Insurance Fundamentals
Brush up on your understanding of key insurance concepts, like underwriting principles and risk assessment. Expect the interviewer at Earnix to throw some technical questions your way, so be ready to demonstrate your grasp of these essentials.
✨Showcase Your Analytical Side
In the insurance world, it's all about data. Prepare to discuss any analytical tools or methodologies you've used in past experiences. If you have a portfolio of projects where you've tackled complex data, bring that along to impress the team!
✨Prepare for Behavioural Questions
As a full-timer at Earnix, they'll want to know how you handle real-life scenarios, not just theory. Think about challenges you've faced in teamwork or customer service, and how those experiences can relate to a career in insurance.
✨Know the Company Culture Inside Out
Understanding Earnix's values and workplace culture is essential. Don’t just memorise their mission statement; think about how your personal values align with theirs. This will show your genuine interest in being part of their team long-term.