XX
NewDay Ltd

Data Scientist

  • +2
  • +5
  • GB
    United Kingdom
Show interest
  • +2
  • +5
  • GB
    United Kingdom

About

Permanent Full Time role in Data Science. Located in London - Hybrid. Data Scientist

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. 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) About NewDay We help people move forward with credit and help our colleagues to move their careers forward too. We’re focused on what will drive impact in helping people move forward with credit. Our distinctive culture is geared to spark innovation and teamwork – 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.

#J-18808-Ljbffr

Nice-to-have skills

  • Python
  • Scikit-learn
  • Pandas
  • Numpy
  • Machine Learning
  • United Kingdom

Work experience

  • Data Scientist
  • Cyber Security Specialist

Languages

  • English