Senior Data Scientist

Harnham; Salt Lake City (UT); Hybrid; USD 153,000 - 187,000; Full time

Benefits offered by this job

Bonus

Job summary

Harnham in Salt Lake City, Utah, offers a hybrid role in a high-growth fintech environment. You will own production models at the intersection of growth, credit risk, and pricing strategy, leveraging ML, experimentation, and analytics to influence decisions across the customer lifecycle.

The role requires building predictive models for commercial decisions, deploying and monitoring models in production, and collaborating with Product, Engineering, and Business leaders to drive end-to-end impact.

Qualifications

• 4-8 years in Data Science within lending, fintech, banking, insurance or adjacent sectors.
• Experience building predictive models used for commercial decision making.
• Exposure to credit risk, underwriting, pricing, customer value, marketing science, or decision science.
• Experience deploying or monitoring production models.
• Strong experimentation/A-B testing mindset.
• Cloud experience (AWS preferred).

Responsibilities

• Own and evolve production models that influence credit approval, underwriting, pricing, and lifecycle decisions.
• Collaborate with Product, Engineering, and Business leaders to deploy and monitor models.
• Drive end-to-end model development from concept to deployment and monitoring.

Skills

Data Science

Predictive modeling

A/B testing

Credit risk

Pricing strategy

Cloud AWS

Production deployment

Job description

Salt Lake City, UT (Hybrid)

Up to $170,000 + Bonus

We're partnered with a high-growth fintech that has built something most lenders can only talk about: a truly connected dataset spanning marketing acquisition, underwriting, pricing, funding, and portfolio performance.

As a result, their Data Science team doesn't operate in silos. This role sits at the intersection of growth, credit risk, and pricing strategy, using machine learning, experimentation, and advanced analytics to influence decisions across the full customer lifecycle.

You’ll own and evolve production models that shape:

• Credit approval and underwriting decisions
• Risk-based pricing
• Experimentation and decision optimisation

This is not a \"build models and hand them over\" environment. You’ll take solutions from concept through deployment and monitoring, partnering closely with Product, Engineering, and Business leaders.

You’ll likely have:

• 4-8 years in Data Science within lending, fintech, banking, insurance or adjacent sectors
• Experience building predictive models used for commercial decision making
• Exposure to credit risk, underwriting, pricing, customer value, marketing science, or decision science
• Experience deploying or monitoring production models
• Strong experimentation/A-B testing mindset
• Cloud experience (AWS preferred)

Why people are interested:

• Direct commercial impact
• End-to-end ownership
• Strong investment in AI/ML
• Exposure across marketing, pricing and risk rather than a narrow modelling remit
• Visibility with senior leadership
• Fast-growing fintech environment

For experienced Data Scientists looking to move closer to commercial decision-making and business strategy, this is a genuinely interesting opportunity.