Senior Data Scientist

Posted 3 Days Ago
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London, England
In-Office
Senior level
Software • Financial Services
The Role
The Senior Data Scientist will utilize statistical and machine learning methods to analyze data, develop projects, mentor others, and engage with stakeholders to create business value.
Summary Generated by Built In

What will you be doing

  • Use sophisticated statistical and machine learning techniques to identify new trends and relationships in data.

  • Create high-quality project plans to help shape the future of the team.

  • 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.

Skills and Experience

Essential

  • University degree in a highly analytical discipline (data science, mathematics, physics, economics, and similar disciplines).

  • Demonstrated experience designing, building and assisting in the deployment and monitoring of a diverse range of ML models in real-world business settings.

  • Strong proficiency creating models in Python and a solid understanding of SQL for data extraction, transformation and analysis.

  • Ability to present sophisticated and detailed findings clearly, adapting the level of detail to the audience, paired with strong interpersonal and written communication skills.

  • Previous experience leading and mentoring others—either formal or informal—showing a willingness to support growth and development.

  • Experience in proactively engaging with business stakeholders to scope and define projects.

  • Knowledge of version control systems, particularly Git, with experience managing codebases and collaborating in team environments.

  • Nice to haves: experience with one or more of credit risk, collections risk, affordability, IFRS9 and customer credit behaviours models.

Desirable
  • Be self-motivated and comfortable working in a fast-paced environment where priorities evolve.

  • Have a strong sense of accountability and ownership, with great organisational, planning and time management skills.

  • Have great team spirit, supporting team and colleagues on tasks big and small.

  • Enthusiasm for exploring emerging/existing areas of ML, with a drive to bring fresh, innovative ideas and approaches into the business.

Your Personal Attributes
  • You are a relentlessly positive person; you see opportunities not issues

  • Naturally curious

  • Self-starter who can resolve ambiguity and plot a path forward

  • Self-reflective, with the drive to continuously find opportunities for improvement

  • Superb communicator who can flex your style according to the needs of the audience

  • Good attention to detail

  • Able to empathise with team-members and business partners

#LI-Hybrid

#LI-TM1

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Permanent

Top Skills

Git
Python
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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