Data Scientist (AI)

TL;DR

Data Scientist (AI): Building and optimizing predictive models and data-driven solutions for eligibility checks, fraud detection, and pricing, with an accent on model deployment and cross-functional collaboration. Focus on impacting core business decisions, enhancing customer experiences, and developing a state-of-the-art data platform.

Location: Hybrid in London, UK

Salary: £40,000–£41,000

Company

hirify.global is a fast-growing UK-based B Corp making insurance fair and affordable for 300,000+ customers, having raised over £43m in funding.

What you will do

• Contribute to models for core business decisions, including pricing, risk assessment, and behavioural fraud detection.
• Build, deploy, and iterate on data models that deliver clear and measurable value to the business.
• Collaborate with Engineering, Product, and Commercial teams to deliver data-driven products.
• Play a key role in developing a state-of-the-art data platform and setting best practices.
• Build commercial awareness by collaborating on cross-functional projects.

Requirements

• 1+ years of experience working with data (through roles, academic work, or personal projects).
• Passion for building great data products and willingness to work across the data lifecycle.
• Experience with Python and its data science ecosystem (e.g., pandas, scikit-learn, TensorFlow/PyTorch).
• Experience with statistical methods and machine learning (e.g., A/B testing, model validation).
• Experience with data pipelining tools like SQL, dbt, BigQuery, or Spark.
• Strong communicator with the ability to explain technical concepts to non-technical audiences.

Culture & Benefits

• Office-centric approach in Oval, London with built-in flexibility.
• Starting salary of between £40,000–£41,000, plus share options.
• 25 days paid annual leave, plus public holidays.
• Rapid progression opportunities with significant responsibility from day one.
• Dedicated development budget, access to a senior mentor, and training.
• Well-being support including access to therapy, weekly onsite yoga, and subsidised sports clubs.
• Enhanced parental leave and support for parents returning to work.
• Regular team socials and vibrant team communities like book club and foodies.