Senior Data Scientist (Fintech)

Location: London, UK; office attendance required at least 3 days per week, including Mondays

Salary: £94,589–£111,502 annual salary; stock options of £80,479–£105,003

Company

hirify.global provides a debit and credit rewards card designed to offer fair, flexible rewards across travel, dining, entertainment, wellness, and shopping.

What you will do

• Build and improve predictive models for customer acquisition, affordability, applicant risk, expected customer value, and portfolio management.
• Develop behavioural and collections models to improve credit profitability and identify effective customer interventions.
• Build fraud and financial crime models to identify suspicious behaviour earlier while reducing friction for genuine members.
• Use machine learning and member data to personalise rewards in collaboration with AI engineers.
• Own the full modelling lifecycle, including data exploration, feature engineering, training, validation, implementation, monitoring, and model performance improvement.
• Help establish modelling standards, tooling, experimentation practices, and development approaches while explaining model outputs to CRO and committee members.

Requirements

• Experience building predictive models that reached production and materially improved risk, revenue, customer experience, or operational outcomes.
• Strong Python and SQL skills, with the ability to work directly with large and messy datasets.
• Deep understanding of predictive modelling approaches including logistic regression and gradient boosting.
• Experience evaluating calibration, stability, drift, and other production model performance metrics beyond headline accuracy.
• Ability to own models end to end, communicate technical findings clearly, and connect modelling decisions to commercial outcomes.
• Ability to work from the London office at least three days per week.

Nice to have

• Experience in consumer lending, credit cards, fraud, or fintech.
• Experience with bureau data, behavioural credit models, collections models, transaction data, fraud detection, or customer recommendation systems.

Culture & Benefits

• Office-first, remote-friendly environment based in a Shoreditch office.
• 35 holidays, including 27 days of annual leave and 8 public holidays.
• Private healthcare with Bupa and enhanced parental leave of up to 12 weeks after one year.
• £750 annual learning and training allowance.
• Team-building offsites, regular meals and events, and a cycle-to-work scheme.

Hiring process

• Introductory 45-minute call.
• Case interview or take-home task.
• Two-hour face-to-face interview followed by reference checks and an offer stage.
• Right-to-work, criminal, politically exposed persons, and credit default background checks are required; the process typically takes 2–6 weeks.