Job Description

Senior Data Scientist (Permanent)
Location: Blackpool - 3 days per week onsite
Salary: Up to £55,000 plus benefits such as Civil Service Pension (28% contribution) + Bonus 5-10%

Applicants must be eligible to gain SC clearance - Last 5 continuous years UK residency, clear criminal and financial record checks essential.

Visa sponsorship is not available for this opening.

Our client, a prestigious civil service organisation, is seeking a talented Senior Data Scientist to join their dynamic team. This is an exciting opportunity for someone looking to work independently on a variety of ongoing and new data science projects, including pricing analytics, predictive modelling, segmentation, topic modelling, and insight automation.

Key Benefits:
- Competitive salary up to £60,000
- Generous Civil Service Pension (28% contribution)
- Performance-based bonus (5-10%)
- Opportunity to work on diverse and impactful projects
- Collaborative and supportive work environment

Key Responsibilities:
- Lead the development and maintenance of automated reporting pipelines
- Develop and maintain predictive models and pricing analytics solutions
- Create and enhance product segmentation models
- Manage complex data projects and automated data pipelines
- Conduct data discovery projects and onboard new data sources
- Ensure high-quality data science outputs for stakeholders

Essential Experience:
- Extensive experience in applying supervised and unsupervised ML algorithms
- Proven track record in building and deploying predictive models
- Strong communication skills and ability to present data insights effectively
- Experience in supporting analysts and setting best practices

Essential Qualifications:
- Degree in a numerate and/or statistical subject

Essential Skills:
- Expert-level knowledge in R or Python
- Proficiency in creating web applications and data visualisation

If you are passionate about data science and looking to make a significant impact within a leading organisation, we would love to hear from you. Apply now to join a team that values innovation, collaboration, and professional growth.

For more information and to apply, please contact us at DataCareers.