Data Scientist

Data Scientist

Full-Time 50000 - 70000 £ / year (est.) No home office possible
NewDay

At a Glance

  • Tasks: Uncover insights from complex data and develop impactful models.
  • Company: Join NewDay, a forward-thinking company in the credit industry.
  • Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
  • Other info: Diverse and inclusive workplace with support for all applicants.
  • Why this job: Make a real-world impact through advanced analytics and data exploration.
  • Qualifications: Degree in data science or related field; strong skills in Python and SQL.

The predicted salary is between 50000 - 70000 £ per year.

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.

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.

Data Scientist employer: NewDay

At NewDay, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Data Scientist, you'll have the opportunity to work with cutting-edge data technologies in a supportive environment that values diversity and inclusion, ensuring that every voice is heard. With a strong focus on employee growth, we provide ample opportunities for professional development and career advancement, making NewDay a rewarding place to build your future.
NewDay

Contact Detail:

NewDay Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Scientist

✨Tip Number 1

Network like a pro! Reach out to current or former employees at NewDay on LinkedIn. A friendly chat can give you insider info and might even lead to a referral, which is always a bonus.

✨Tip Number 2

Prepare for the interview by brushing up on your technical skills. Be ready to discuss your experience with Python, SQL, and machine learning techniques. We want to see how you can apply your knowledge to real-world problems!

✨Tip Number 3

Showcase your projects! Bring examples of your data science work to the interview. Whether it's a model you've built or a data visualisation, having tangible proof of your skills can really impress the hiring team.

✨Tip Number 4

Don’t forget to follow up after your interview! A quick thank-you email reiterating your interest in the role and highlighting a key point from your conversation can keep you fresh in their minds.

We think you need these skills to ace Data Scientist

Statistical Modelling
Machine Learning Techniques
Python
pandas
numpy
scikit-learn
SQL
Data Manipulation
Data Visualisation
Analytical Skills
Problem-Solving Skills
Model Governance
Communication Skills
Data Exploration

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Data Scientist role at NewDay. Highlight your experience with statistical modelling, machine learning techniques, and any relevant projects that showcase your skills in Python and SQL.

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how your skills can drive value for NewDay. Be sure to mention your experience in a regulated environment if you have it.

Showcase Your Projects: If you've worked on any interesting data science projects, make sure to include them in your application. Whether it's a personal project or something from your previous job, showing off your hands-on experience can really set you apart.

Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status directly!

How to prepare for a job interview at NewDay

✨Know Your Data Science Stuff

Make sure you brush up on your statistical modelling and machine learning techniques. Be ready to discuss specific projects where you've applied these skills, especially using Python and SQL. The more you can demonstrate your hands-on experience, the better!

✨Showcase Your Communication Skills

Since you'll be working with senior stakeholders, practice explaining complex data insights in a clear and concise manner. Prepare examples of how you've communicated findings to different audiences, as this will show your ability to translate data into actionable insights.

✨Understand the Business Context

Familiarise yourself with NewDay's business model and the credit industry. Think about how your data science skills can create value for both the company and its customers. This knowledge will help you align your answers with their goals during the interview.

✨Prepare for Governance Questions

Since governance is key in this role, be ready to discuss how you've supported models throughout their lifecycle. Bring examples of documentation you've created or processes you've followed to ensure compliance and robustness in your previous work.

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