Data Scientist

New Day; London; On-site; GBP 40,000 - 80,000; Full time

Job summary

An established industry player is seeking a skilled Data Scientist to leverage sophisticated statistical and machine learning techniques. This role involves sourcing and preparing data to enhance business value, delivering clear data science outputs, and maintaining model governance. The ideal candidate will thrive in a fast-paced environment, possess strong organizational skills, and effectively communicate complex findings. Join a dynamic team in the credit industry, where your analytical expertise will drive impactful insights and contribute to innovative solutions for customers.

Qualifications

• Degree in a highly analytical discipline such as data science or mathematics.
• Proficiency in statistical modeling techniques using Python.

Responsibilities

• Use statistical and machine learning techniques to identify trends in data.
• Deliver comprehensive data science outputs with clarity.

Skills

Statistical Modeling using Python

Data Wrangling

Communication Skills

Organizational Skills

Team Collaboration

Education

Degree in Data Science or related field

MSc or PhD in Data Science

Job description

Job Responsibilities

• 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 create value for NewDay and its customers.
• Provide quality and detailed data science outputs, sharing and following up with appropriate detail as requested by senior managers.
• Develop knowledge of all relevant data resources within NewDay and in the wider Credit Industry.
• Support model governance throughout their lifecycle—from conception to monitoring—ensuring documentation complies with internal standards.

What you'll deliver

• Apply advanced statistical and machine learning techniques to uncover insights.
• Source and prepare new data for analysis to enhance business value.
• Deliver comprehensive data science outputs with clarity and precision.
• Expand understanding of data resources relevant to the credit industry.
• Maintain model governance with proper documentation throughout the model lifecycle.

Skills and Experience

Essential

• Degree in a highly analytical discipline (e.g., data science, mathematics, finance, economics).
• Proficiency in statistical modeling techniques using Python.
• Experience working with raw datasets and performing data wrangling.
• Hands-on experience as a data scientist or modeler.
• Knowledge of credit risk, collections risk, IFRS9, or customer credit behavior models.
• Ability to communicate complex findings clearly, adapting to the audience.
• Self-motivated with the ability to thrive in a fast-paced environment.
• Strong organizational and time management skills.
• Excellent interpersonal and written communication skills.
• Team-oriented with a collaborative spirit.

Desirable

• MSc or PhD in Data Science or related fields.
• Experience in regulated financial services organizations.
• Ability to present complex findings effectively.
• Experience supporting model deployment and working with DevOps teams.