Data Scientist

NewDay Cards Limited; London; Hybrid; GBP 40,000 - 70,000; Full time

Job summary

A leading company in consumer credit is seeking a Data Scientist to leverage statistical and machine learning techniques to analyze data and support model governance. The role requires a strong analytical background, proficiency in Python, and excellent communication skills. Join a dynamic team that values innovation and collaboration, contributing to impactful projects in the financial services sector.

Qualifications

• University degree in data science, mathematics, quantitative finance, or economics.
• Proficiency in statistical data modelling techniques in Python.
• Experience with raw datasets and data wrangling.

Responsibilities

• Use statistical and machine learning techniques to identify trends in data.
• Provide quality data science outputs and support models throughout their lifecycle.
• Harvest and prototype new data sources to create value for NewDay.

Skills

Statistical data modelling techniques

Data wrangling

Interpersonal skills

Communication skills

Organizational skills

Education

University degree in a highly analytical discipline

Tools

Python

Job description

time left to apply End Date: June 2, 2025 (12 days left to apply)

job requisition id JOB_REQUISITION-3-5

What you'll deliver

• 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.

Skills and Experience
Essential

• University degree in a highly analytical discipline (data science, mathematics, quantitative finance, economics, etc.).
• Proficiency in statistical data modelling techniques in python.
• Experience with working with raw datasets and perform data wrangling pre-modelling.
• A hands-on data scientist or modeller background.
• Experience with one or more of credit risk, collections risk, affordability, IFRS9 and customer credit behaviours models.
• Ability to present sophisticated findings clearly, adapting the level of detail to the audience.
• Be self-motivated and comfortable working in a fast-paced environment where priorities evolve.
• Have a strong sense of accountability and ownership, with great organizational, planning and time management skills.
• Be personable with excellent interpersonal & written communication skills.
• Have great team spirit, supporting team and colleagues on tasks big and small.

Desirable

• MSc or PhD in Data Science related field (e.g., Machine Learning, Statistics, Mathematics).
• Experience within a regulated financial services organization.
• Ability to present sophisticated findings clearly, adapting the level of detail to the audience.
• Experience in supporting model deployment and working with DevOps/Implementation teams.

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Type: Permanent

About Us

We help people move forward with credit and help our colleagues to move their careers forward too.

Through innovative consumer credit and embedded finance products powered by groundbreaking technology, we deliver over 300 million transactions every year.

Our brands include Aqua, Marbles, Fluid, Bip and NewPay. We partner with leading brands such as AO, Argos, Boohoo, John Lewis, and LloydsBank.

Over 5 million UK customers are supported by our award-winning customer service.