Data Scientist (SC Cleared)

Jefferson Frank; Barrow-in-Furness; Hybrid; GBP 77,490 - 129,150; Full time

Job summary

Jefferson Frank in Barrow-in-Furness is seeking an experienced Data Scientist to join a major programme delivering advanced analytics and AI-driven solutions within a secure environment. Initial onsite 2–3 days per week, transitioning to about one week per month onsite after onboarding.

The role combines hands-on model development with stakeholder engagement and continuous improvement of AI and data science solutions, working with secure data and regulated processes.

Qualifications

• Strong commercial experience as a Data Scientist.
• Experience deploying machine learning models in production environments.
• Experience using Python for data science and analytics.
• Strong knowledge of machine learning frameworks and libraries.
• Experience with statistical modelling, predictive analytics and data exploration.
• Strong data preparation, feature engineering and model evaluation skills.
• Experience working with large and complex datasets.
• Ability to communicate technical concepts to both technical and non-technical stakeholders.
• Experience creating visualisations and presenting analytical findings.

Responsibilities

• Design, develop and deploy machine learning and AI solutions
• Analyse complex datasets to identify trends, patterns and business opportunities
• Build predictive models and data science solutions to address operational challenges
• Prepare, cleanse and engineer data for advanced analytics and modelling
• Evaluate and optimise model performance using appropriate metrics and testing methodologies
• Create insightful visualisations and presentations to communicate findings effectively
• Collaborate with engineers, analysts and stakeholders throughout the development lifecycle
• Produce high-quality technical documentation and model artefacts
• Support solution testing, validation and continuous improvement activities
• Contribute to best practices across data science, analytics and AI development

Skills

Python

Machine Learning

Data Visualization

Stakeholder communication

Production deployment

Statistical modelling

Data analysis

Tools

Pandas

NumPy

Scikit-learn

TensorFlow

PyTorch

Matplotlib

Seaborn

Plotly

Job description

Data Scientist

SC Cleared or Eligible | £600-£700 per day | Inside IR35

Barrow-in-Furness Hybrid Working Contract until December 2026 (Highly Likely Extension)

We are seeking an experienced Data Scientist to join a major programme delivering advanced analytics and AI-driven solutions within a secure and highly regulated environment.

This role offers the opportunity to work on cutting‑edge machine learning and data science initiatives, helping transform complex datasets into actionable insights and intelligent solutions that deliver real business value.

Initially, the successful candidate will be required onsite 2-3 days per week, transitioning to approximately one week per month onsite following the onboarding period.

The Role

As a Data Scientist, you will be responsible for designing, developing, and deploying machine learning models and data-driven solutions. You will work closely with technical teams, stakeholders, and end users to understand requirements, identify opportunities, and deliver robust analytical capabilities.

The role combines hands‑on model development with stakeholder engagement, experimentation, and the ongoing optimisation of AI and data science solutions.

Key Responsibilities

• Design, develop and deploy machine learning and AI solutions
• Analyse complex datasets to identify trends, patterns and business opportunities
• Build predictive models and data science solutions to address operational challenges
• Prepare, cleanse and engineer data for advanced analytics and modelling
• Evaluate and optimise model performance using appropriate metrics and testing methodologies
• Create insightful visualisations and presentations to communicate findings effectively
• Collaborate with engineers, analysts and stakeholders throughout the development lifecycle
• Produce high-quality technical documentation and model artefacts
• Support solution testing, validation and continuous improvement activities
• Contribute to best practices across data science, analytics and AI development

Required Experience

• Strong commercial experience as a Data Scientist
• Proven experience developing and deploying machine learning models in production environments
• Experience using Python for data science and analytics
• Strong knowledge of machine learning frameworks and libraries
• Experience with statistical modelling, predictive analytics and data exploration
• Strong data preparation, feature engineering and model evaluation skills
• Experience working with large and complex datasets
• Ability to communicate technical concepts to both technical and non-technical stakeholders
• Experience creating visualisations and presenting analytical findings

Technical Skills

• Python
• Machine Learning
• Artificial Intelligence
• Pandas
• NumPy
• Scikit-learn
• TensorFlow and/or PyTorch
• Data Visualisation (Matplotlib, Seaborn, Plotly)
• Statistical Analysis
• Model Evaluation & Optimisation

Contract Details

• Contract until December 2026
• Likely Extension
• £600-£700 per day
• Inside IR35
• Barrow-in-Furness
• 2-3 Days Per Week Onsite Initially
• Reducing to One Week Per Month Onsite
• Active SC Clearance or Eligibility to Obtain SC Clearance Required