London Data Scientist & Engineer Consultant (5-Month)

Head Resourcing Ltd; Greater London; On-site; GBP 92,000 - 148,000; Full time

Job summary

Head Resourcing Ltd is seeking an experienced Data Scientist / Data Engineer Consultant for an initial 5-month engagement starting in November. The role is based in London and requires onsite presence 2-3 days per week, working through an umbrella company within a Financial Services environment.

You will apply advanced analytics, machine learning and data engineering to shape consumer risk insights, build dashboards and data products in an Agile team, contributing to strategic decision making

Qualifications

• Strong commercial experience in Data Science, Statistics and Data Modelling.
• Advanced Python development for analytics, automation and ML.
• Excellent SQL skills with large, complex datasets.
• Experience building and optimizing data pipelines.
• Proven ML and predictive analytics model development.
• Tableau dashboard design and data visualization experience.
• Translate analytical findings into business recommendations.
• Experience in Agile/Scrum environments.
• Strong stakeholder management and communication skills.
• Experience in regulated environments, especially Financial Services or Public Sector.

Responsibilities

• Develop data products, predictive models and dashboards.
• Create intelligence solutions to support strategic decisions.
• Work within an Agile delivery team.
• Collaborate with stakeholders to translate insights into actions.
• Ensure insights comply with regulatory constraints in FS.

Skills

Python

SQL

Machine Learning

Tableau

Data pipelines

Agile/Scrum

Stakeholder management

Financial Services domain

Job description

Head Resourcing Ltd is seeking an experienced Data Scientist / Data Engineer Consultant for an initial 5-month engagement starting in November. The role is based in London and requires onsite presence 2-3 days per week, working through an umbrella company within a Financial Services environment.

You will apply advanced analytics, machine learning and data engineering to shape consumer risk insights, build dashboards and data products in an Agile team, contributing to strategic decision making