Data Scientist Consultant (Contract) in London

Energy Jobline ZR; Greater London; Remote; GBP 92,000 - 118,000; Full time

Job summary

Energy Jobline ZR is seeking a Data Scientist Consultant for a fully remote role in the UK, Inside IR35, with a daily rate of £500-£640 and immediate start.

You will develop predictive models, credit risk scorecards, and data pipelines using large financial datasets, and translate findings into business insights.

The role requires strong Python/SQL, hands-on Google Cloud Platform experience, and the ability to communicate complex analytics to non-technical stakeholders.

Qualifications

• Recent experience in financial services, credit risk, lending, or commercial analytics.
• Proven track record building predictive models or risk scorecards in a regulated finance environment.
• Experience with credit-related datasets.
• Strong Python and SQL for data science and analytics.
• Experience with Google Cloud Platform environments.
• Understanding of model development lifecycle and governance.
• Ability to communicate findings to non-technical stakeholders.

Responsibilities

• Develop predictive models and risk scorecards.
• Prepare, audit, cleanse, and analyse credit data.
• Design scalable data pipelines for ML workflows.
• Translate business challenges into data-driven solutions.
• Communicate findings via visualisations and recommendations.
• Support adoption of cloud technologies and analytics best practices.

Skills

Python

SQL

Credit risk analytics

Machine learning

Google Cloud Platform

Data pipelines

Stakeholder management

Job description

Job Description

Data Scientist Consultant

Fully Remote (Need right to work in UK)

Inside IR35

£500 - £640 Per Day

Start Immediately

The Company

They are a well-established organisation with a strong focus on data-driven innovation within financial services and credit analytics. Their teams develop sophisticated modelling solutions, risk products, and decisioning tools powered by extensive commercial data assets. With continued investment in cloud technologies and advanced analytics, they are building the next of AI and machine learning capabilities. You will join a collaborative environment that values technical excellence, innovation, and commercial impact.

The Role and Deliverables

• Develop predictive models, credit risk scorecards, and advanced analytical solutions using large-scale financial and commercial datasets.
• Prepare, audit, cleanse, and analyse complex credit and business data to generate actionable insights.
• Design and optimise scalable data pipelines to support machine learning and analytics workflows.
• Partner with business stakeholders to translate commercial and risk challenges into data-driven solutions.
• Communicate analytical findings through clear visualisations and business-focused recommendations.
• Support the adoption of modern cloud technologies, machine learning techniques, and analytics best practice.

Your Skills & Experience

• Recent experience within financial services, credit risk, lending, credit bureaux, or commercial credit analytics is essential.
• Strong experience building predictive models, risk scorecards, or decisioning solutions within a regulated financial environment.
• Proven experience working with credit, lending, bureau, or commercial financial datasets.
• Strong Python and SQL skills for data science, analytics, and data engineering activities.
• Experience applying statistical and machine learning techniques to solve complex commercial or risk-related problems.
• Hands-on experience working within Google Cloud Platform environments.
• Understanding of model development lifecycles, model governance, validation, and version control best practices.
• Strong stakeholder management skills with the ability to communicate technical findings to non-technical audiences.