Senior Data Scientist

New Day; London; Hybrid; GBP 45,000 - 70,000; Full time

Job summary

An established industry player is seeking a talented Data Scientist to leverage advanced statistical and machine learning techniques to uncover insights from data. In this dynamic role, you will create high-quality project roadmaps and collaborate with various stakeholders to drive innovation. Your expertise in Python and SQL will be essential as you develop and monitor diverse ML models, ensuring they deliver value for the organization and its customers. If you thrive in a fast-paced environment and have a passion for data-driven decision-making, this opportunity is perfect for you.

Qualifications

• Experience in designing and deploying ML models in business settings.
• Strong proficiency in Python and SQL for data analysis.

Responsibilities

• Use statistical techniques to identify trends in data.
• Create project roadmaps and support model governance.

Skills

Machine Learning

Python

SQL

Statistical Analysis

Data Visualization

Interpersonal Skills

Project Management

Git

Education

Degree in Data Science

Degree in Mathematics

Degree in Economics

Tools

Amazon Sagemaker

PyMC

Job description

What will you be doing day-to-day?

• Use sophisticated statistical and machine learning techniques to identify new trends and relationships in data.
• Create high-quality project roadmaps to help shape the future of the team.
• 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

• University degree in a highly analytical discipline (data science, mathematics, physics, economics, etc.).
• Demonstrated experience designing, building and assisting in the deployment and monitoring of a diverse range of ML models in real-world business settings.
• Strong proficiency creating models in Python and a solid understanding of SQL for data extraction, transformation and analysis.
• Ability to present sophisticated and detailed findings clearly, adapting the level of detail to the audience, paired with strong interpersonal and written communication skills.
• Previous experience leading and mentoring others-either formal or informal-showing a willingness to support growth and development.
• Background in strategic planning, including developing roadmaps and proactively engaging with business stakeholders to scope and define projects.
• Knowledge of version control systems, particularly Git, with experience managing codebases and collaborating in team environments.
• Nice to haves: experience with Bayesian modelling and probabilistic programming libraries such as PyMC; proven ability in the creation and deployment of fraud detection models; familiarity with Amazon Sagemaker and its various features used in model development and deployment.

Your Personal Attributes

• 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.
• Have great team spirit, supporting team and colleagues on tasks big and small.
• Enthusiasm for exploring emerging/existing areas of ML, with a drive to bring fresh, innovative ideas and approaches into the business.

#LI-Hybrid

We work with Textio to make our job design and hiring inclusive.

Permanent