Data Scientist - Credit Behaviours

Reposted 15 Days Ago
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London, Greater London, England, GBR
In-Office
Mid level
Software • Financial Services
The Role
The Data Scientist will apply statistical and machine learning techniques to analyze data, develop models, and ensure governance throughout their lifecycle, communicating insights effectively.
Summary Generated by Built In

We’re looking for a Data Scientist to join NewDay, focused on uncovering new insights from complex data and developing models that drive value for both the business and our customers.

Sitting within a regulated credit environment, this role spans the full data science lifecycle, from exploring and shaping new data sources, through to building, governing, and monitoring models in production. You’ll work closely with senior stakeholders and partner teams to ensure outputs are robust, well-governed, and clearly communicated.

This is a hands-on role for someone passionate about applied modelling, data exploration, and turning advanced analytics into practical, real-world outcomes.

How you’ll contribute
  • Use sophisticated statistical and machine learning techniques to identify new trends and relationships in data.

  • Harvest, wrangle and prototype new data sources internally and external to NewDay to create new value for NewDay and our customers.

  • Provide quality and detailed data science outputs, sharing and following up with as much detail as appropriate or requested by senior managers.

  • Develop knowledge of all relevant data resources within NewDay and in the wider Credit Industry.

  • Governance: support the models throughout their lifecycle from conception, development, implementation, testing and monitoring, with the required level of documentation to follow internal procedures and standards.

We're looking for these essential skills

  • Degree (BSc or higher) in a data science–related field (e.g. statistics, mathematics, machine learning)

  • Strong experience with statistical modelling and machine learning techniques

  • Proficiency in Python, including libraries such as pandas, numpy, scikit-learn

  • Solid SQL and data manipulation skills, including cleaning and managing raw datasets

  • Experience with data visualisation and communicating insights clearly

  • Strong analytical and problem-solving skills

It’s a plus if you also have these skills

  • MSc or PhD in a data science–related discipline

  • Experience within a regulated financial services environment

  • Ability to present complex findings clearly to varied audiences

  • Experience supporting model deployment and working with implementation or DevOps teams

#LI-Hybrid

#LI-TM1

At NewDay, we value all types of diversity. We’re an equal opportunity employer and believe that our differences create a vibrant, authentic working culture. We want all our colleagues to feel able to bring their whole selves to work. We don’t discriminate on the basis of protected characteristics or identities. We make sure that every job is crafted to be inclusive and that people with disabilities or caring responsibilities can take part in the application and interview process.

Tell us if you need accommodations: We’ll put reasonable adjustments in place to support you.

We work with Textio to make our job design and hiring inclusive.

Permanent

Top Skills

Numpy
Pandas
Python
Scikit-Learn
SQL
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The Company
HQ: London
1,150 Employees
Year Founded: 2001

What We Do

At NewDay, our business is focused on a single, clear and defining purpose: to help people move forward with credit. We provide nearly 4 million customers with responsible access to credit, underpinned by best-in-class customer service and exceptional user experience. Our in-house, highly scalable digital platform alongside our proprietary credit decisioning capability unlocks our competitive advantage. Our broad credit product offering enables instalment finance, BNPL, 0% finance and carded and digital revolving credit. We operate multiple direct-to-consumer products and a range of credit solutions with some of the UK’s most loved brands. Our underwriting capability and experience allow us to responsibly say yes to more UK customers making us a merchant partner of choice. We partner to harness the power of data to drive commerce across the UK, creating value at scale.

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