Why This Job is Featured on The SaaS Jobs
This Professional Services Consultant role sits at a common inflection point in B2B SaaS: translating a specialised analytics platform into measurable outcomes inside regulated, data-heavy insurance environments. The remit blends modelling expertise with software enablement, reflecting how mature SaaS vendors in vertical markets rely on services teams to accelerate adoption, prove value, and shape how the product is used in real-world workflows.
For a SaaS career, the role builds durable strengths at the intersection of domain expertise and product-led delivery. Working with predictive models, pricing optimisation, and ML tooling (Python/R) develops an applied analytics portfolio while sharpening the ability to communicate technical decisions to mixed audiences—an essential skill in SaaS where stakeholders span actuarial, underwriting, and executive teams. The client-facing nature also tends to create strong feedback loops into product improvement, implementation patterns, and repeatable onboarding playbooks.
This position is best suited to professionals who enjoy problem-solving with customers, moving between hands-on analysis and clear storytelling. It aligns well with candidates who want to remain close to technical work while developing consultative influence, and who prefer SaaS roles where success is measured by adoption, outcomes, and sustained usage rather than one-off delivery.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
Description
We are seeking a Professional Services Consultant with a strong background in analytics within the insurance industry, ideally holding some actuarial qualifications. In this role, you will be instrumental in supporting our clients’ usage of our software for developing and reviewing statistical models, and implementing effective pricing and optimisation strategies.
What you’ll do:
Develop and maintain predictive models to assess risk and customer demand, guiding pricing strategies across various lines of business.
Utilise machine learning techniques and programming languages such as Python or R to enhance analytics capabilities.
Communicate complex technical results clearly and effectively, tailoring presentations for diverse audiences.
Demonstrate software functionality and provide training to new users, ensuring a smooth onboarding process.
Requirements
You’ll do it using:
Extensive experience in the insurance industry, specifically in analytics and predictive modeling.
Proficiency in machine learning methods and programming languages (Python and R).
Exceptional communication skills, with a knack for presenting technical information in an accessible manner.
Strong ability to engage clients and provide valuable insights through data analysis.
You’ll excel by:
Focusing on the art of the possible
Communicating with honesty, candour, and respect
Collaborating seamlessly with colleagues across the company
Being resourceful and creative
Acting with empathy
You’ll love it because:
This is an incredibly impactful role in the organisation.
You will have the opportunity to work in a successful, fast-moving, mission-driven company.
You will have growth opportunities.
You will collaborate with other professional and enthusiastic team members.
Earnix has competitive benefits with an all-for-one mentality.
Position Intro
Earnix is the premier provider of mission-critical, cloud-based intelligent decisioning across pricing, rating, underwriting, and product personalisation. 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.
