At a Glance
- Tasks: Design and deploy machine learning models to transform complex datasets into actionable insights.
- Company: Join a leading programme delivering advanced analytics and AI solutions in a secure environment.
- Benefits: Competitive daily rate, hybrid working, and potential contract extension until 2026.
- Other info: Collaborative environment with opportunities for continuous improvement and career growth.
- Why this job: Make a real impact with cutting-edge technology while developing your data science skills.
- Qualifications: Strong experience in data science, machine learning, and Python required.
- 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
- Num Py
- Scikit-learn
- Tensor Flow and/or Py Torch
- Data Visualisation (Matplotlib, Seaborn, Plotly)
- Statistical Analysis
- Model Evaluation & Optimisation
- Contract Details
- Contract until December 2026
- Likely Extension
- 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
- #J-18808-Ljbffr
Data Scientist (SC Cleared) employer: Jefferson Frank
Join a leading UK manufacturing and supply-chain organisation that is at the forefront of digital transformation. With a strong commitment to employee development, you will have access to competitive salaries and opportunities to enhance your IT and Data management skills in a collaborative and dynamic work environment. Located in Surrey, this hybrid role offers the chance to engage with diverse stakeholders while contributing to innovative solutions that drive business success.
