Senior Data Scientist (Permanent) Location: Durham - 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.