Data Scientist

London - Hybrid

New Day

At NewDay, our business is focused on a single, clear and defining purpose: to help people move forward with credit.

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Data Scientist  

Working at our iconic office in King’s Cross, London, and virtually via Microsoft Teams

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 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. 

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.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats:  1  0  0
Category: Data Science Jobs

Tags: Credit risk Machine Learning Mathematics NumPy Pandas Python Scikit-learn Spark Statistics Testing

Perks/benefits: Career development Competitive pay Flex hours

Region: Europe
Country: United Kingdom

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