At a Glance
- Tasks: Join our Data Science team to solve real-world problems and optimize customer decision-making.
- Company: NewDay empowers over 5 million UK customers with innovative credit solutions and exceptional service.
- Benefits: Enjoy flexible hybrid work, competitive salary, bonuses, 26 days holiday, and wellness perks.
- Why this job: Be part of a vibrant culture that values diversity, innovation, and personal growth.
- Qualifications: You need a BSc in data science or related field, plus experience with Python and statistical modeling.
- Other info: We support inclusivity and provide accommodations for applicants with disabilities.
The predicted salary is between 36000 - 60000 £ per year.
Data Scientist
Job no: 502611
Work type: Permanent Full Time
Location: London – Hybrid
Categories: Data Science
Your new role at NewDay
The Data Science team is at the heart of NewDay, solving real world problems and providing transformational value for the business. Through our proprietary platforms and analytical assets, we provide infrastructure, data and insights to our business partners. Through our strong credit data science models and reporting capabilities, we support responsible lending and a top-notch credit journey for our customers.
The Specialist Data Scientist will be a key contributor to the Data Science team at NewDay. Over the past few years, we have built the team and framework to produce powerful data science solutions for all aspects of the customer journey (Customer acquisition, Customer management, Collections, Affordability, Fraud, Impairment and others), using modern data science methodologies and multiple sources of data, building on the strong foundation of expert insight into credit risk behaviours.
This role sits within the Fraud & Impairment team.
You’ll deliver
As part of a successful team, you will build robust data science solutions to optimise the decisioning of our customers. You will support sophisticated projects end to end, interacting with data science leads and key partners to define the problem at hand, plan the approach, gather and wrangle the data, develop and validate the solutions.
Your contribution will allow NewDay to continue to make effective and accurate decisions as well as support the company to strive to innovate in the consumer credit space. Day to day you will:
- Use sophisticated statistical and machine learning techniques to identify new trends and relationships in data.
- Harvest, wrangle and prototype new data sources internally and externally 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.
What you’ll bring
We need knowledge, experience + expertise in:
- Experience in the development of IFRS9 or similar models.
- Proficiency in statistical data modelling techniques.
- Proficiency with Python, including experience with statistics/machine learning packages such as scikit-learn, pandas, numpy, etc.
- Experience in a Financial Services environment.
- At least a BSc or higher university degree in a data science related field (e.g. machine learning, statistics, mathematics).
Where next? Let’s talk about this role – Apply now
About NewDay
We help people move forward with credit and help our colleagues to move their careers forward too.
We use our highly flexible, scalable, and multi-product digital credit engine to power over 120 million transactions every year. Our brands include Aqua, marbles, fluid and Bip. We partner with leading brands such as John Lewis, AO, Argos and DEKO.
Over 5 million UK customers are supported by our award-winning customer service.
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 age, physical or mental disability, gender reassignment, marriage and civil partnership, pregnancy and carer status, race (including colour, nationality, and ethnic or national origin), religion or belief, sex and sexual orientation. 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.
Our dynamic NewDay culture
We’re focused on what will drive impact in helping people move forward with credit. Our distinctive culture is geared to spark innovation and team working – with lots of open doors for development. Our customers can rely on us because we aim high, support each other, do the right thing and build for the future.
We invest in our colleagues. On top of a strong market competitive salary, you get a bonus opportunity that matches the impact (delivery + values) you drive in your role. We also help you retire better with market leading pensions.
At NewDay, #yourwellbeing matters: You get 26 days holiday and can buy up to 5 more after probation. Then you’ll get extra days as you build your career with us.
NewWork, our flexible, hybrid working approach, helps you to manage your work/life balance – and even bolt on work time in other countries before or after your holiday. And when you’re in the office, you get free healthy breakfast, fresh juices, lunch, barista coffee etc.
Our tax efficient green car and cycle to work schemes save you money (and help the planet).
Ask your Talent Acquisition Partner to tell you more about any of our perks.
We work with Textio to make our job design and hiring inclusive.
Advertised: 14 Feb 2025 GMT Standard Time
Applications close: 28 Mar 2025 GMT Standard Time #J-18808-Ljbffr
Data Scientist employer: NewDay
Contact Detail:
NewDay Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarize yourself with IFRS9 or similar models, as this is a key requirement for the role. Consider brushing up on your knowledge through online courses or relevant literature to demonstrate your expertise during discussions.
✨Tip Number 2
Showcase your proficiency in Python and its data science libraries like scikit-learn, pandas, and numpy. Engage in projects or contribute to open-source initiatives that highlight your skills in statistical modeling and machine learning.
✨Tip Number 3
Network with professionals in the financial services sector, especially those involved in data science. Attend industry meetups or webinars to gain insights and potentially connect with current employees at NewDay.
✨Tip Number 4
Prepare to discuss real-world applications of data science in credit risk management. Think of examples where you've used data to solve problems or improve processes, as this will resonate well with the team at NewDay.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Understand the Role: Take the time to thoroughly read the job description for the Data Scientist position at NewDay. Understand the key responsibilities and required skills, especially in statistical modeling and machine learning techniques.
Tailor Your CV: Customize your CV to highlight relevant experience in data science, particularly any work with IFRS9 models or similar. Emphasize your proficiency in Python and any specific libraries mentioned in the job description.
Craft a Compelling Cover Letter: Write a cover letter that connects your background and skills to the specific needs of NewDay. Mention your experience in financial services and how you can contribute to their data science team.
Showcase Your Projects: If applicable, include links to projects or portfolios that demonstrate your expertise in data science methodologies. Highlight any relevant work that showcases your ability to solve real-world problems using data.
How to prepare for a job interview at NewDay
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in Python and statistical modeling techniques. Highlight specific projects where you've used libraries like scikit-learn, pandas, or numpy to solve real-world problems.
✨Understand the Business Context
Familiarize yourself with NewDay's business model and how data science contributes to their goals, especially in areas like fraud detection and customer management. This will help you align your answers with their objectives.
✨Prepare for Problem-Solving Questions
Expect to be asked about your approach to defining problems and developing solutions. Practice articulating your thought process clearly, including how you gather and wrangle data, and validate your models.
✨Demonstrate Your Collaborative Spirit
Since the role involves working closely with data science leads and partners, be ready to share examples of how you've successfully collaborated in past projects. Emphasize your ability to communicate complex ideas effectively.