Head of Data Science (hands on) – FinTech

Wyatt Partners; City Of London; On-site; GBP 85,000 - 120,000; Full time

Job summary

A leading FinTech company in London is seeking a Head of Data Science to work hands-on with a growing team. You will develop advanced machine learning models for credit risk and affordability, enhance product offerings, and identify target businesses for sales. Strong skills in machine learning and data analytics are essential, along with experience in collaborative team environments. Join a dynamic firm backed by major global investors.

Qualifications

• Strong experience in machine learning and data science.
• Ability to work collaboratively with various teams.
• Experience in financial services is a plus.

Responsibilities

• Develop credit risk models in collaboration with the Chief Risk Officer.
• Create transaction classification models using open banking data.
• Enhance product offerings through predictive modeling.
• Identify target businesses for product sales using data insights.
• Collaborate with CTO to optimize data analytics environment.

Skills

Machine learning

Data analytics

Predictive modeling

Team leadership

Tools

AWS

Data lakes

Job description

Head of Data Science (hands on) – FinTech

Head of Data Science (hands on) – FinTech

Head of Data Science (hands on) – FinTech

Head of Data Science role with a fast growth B2B FinTech company, backed by multiple Billionaires and major global investment firm.

You’ll join an existing team of 2 Data Scientists in a wider business of 35 staff currently, and report into the Chief Product Officer. The CEO is a former Data Scientist so you’ll be able to exchange notes!

The Head of Data Science will work on:

• Credit risk models: working with the Chief Risk Officer to create advanced machine learning models
• Affordability models: using both bureau and open banking data, create transaction classification models and derive the amounts that are safe for each individual business to borrow
• Product improvements: use predictive models to understand the key drivers behind the conversion funnel and work hand in hand with the CPO to tailor the customer experiences accordingly
• Sales and distribution: use predictive models to understand which businesses in the UK are most likely to be interested by the company’s product and services
• Data analytics tech: work with the CTO and software developers to create the best environment for data and analytics whether that’s to create rapid models that can be deployed in production or create a data lake using AWS Lake formation

Apply now for this Head of Data Science role with rapid growth FinTech