Data Scientist

Data Science Festival; Greater London; Hybrid; GBP 50,000 - 60,000; Full time

Job summary

Data Idols is partnering with an established organisation in London to hire a Data Scientist to join a growing data function. You will work on credit-focused modelling challenges and contribute to better commercial decisions.

You’ll develop and improve statistical and ML models using Python and SQL, explore large datasets, and collaborate with technical and non-technical teams to translate insights into business impact.

Qualifications

• Exposure to credit, risk or financial datasets.
• Strong Python skills.
• Strong SQL skills.
• Experience working with large and complex datasets.
• Understanding of the end-to-end model development lifecycle.
• Strong statistical and analytical problem-solving skills.

Responsibilities

• Develop and improve statistical and ML models.
• Work with large and complex datasets to identify patterns and insights.
• Participate throughout the modelling lifecycle from exploration to deployment and monitoring.
• Collaborate with technical and non-technical teams to translate data into business impact.

Skills

Python

SQL

Credit Data

Large Datasets

Model Lifecycle

Statistical Analysis

Job description

Data Scientist

Salary: £50K – £60K

Location: London | Hybrid

Data Idols are working with an established organisation looking for a Data Scientist to join their growing data function.

This is an opportunity to join a collaborative team working on complex modelling problems, using Data Science and Machine Learning to support better commercial decisions. The role will have a particular focus on credit, making it a great opportunity for someone with experience working with financial or risk-based data.

The Opportunity

As a Data Scientist, you’ll develop and improve statistical and Machine Learning models, working with large and complex datasets to identify patterns, understand performance and deliver actionable insights.

You’ll be involved throughout the modelling lifecycle, from initial exploration and feature development through to implementation, monitoring and ongoing optimisation. You’ll work closely with technical and non-technical teams across the organisation, helping turn complex data into practical solutions that can be used to improve business outcomes.

Skills and Experience

• Exposure to credit, risk or financial datasets
• Strong Python skills
• Strong SQL skills
• Experience working with large and complex datasets
• Understanding of the end-to-end model development lifecycle
• Strong statistical and analytical problem-solving skills

If you’re a Data Scientist looking for your next opportunity and want to work on interesting modelling challenges within a collaborative data team, we’d love to hear from you.