Senior Data Scientist

DataCareers
Blackpool
1 week ago
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Senior Data Scientist (Permanent)

Location: Blackpool -3 days per week onsite

Salary:Up to £55,000plus 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 Responsibilities:

  1. Lead the development and maintenance of automated reporting pipelines
  2. Develop and maintain predictive models and pricing analytics solutions
  3. Create and enhance product segmentation models
  4. Manage complex data projects and automated data pipelines
  5. Conduct data discovery projects and onboard new data sources
  6. Ensure high-quality data science outputs for stakeholders
  7. Extensive experience in applying supervised and unsupervised ML algorithms
  8. Proven track record in building and deploying predictive models
  9. Strong communication skills and ability to present data insights effectively
  10. Experience in supporting analysts and setting best practices

Essential Qualifications:

  1. Degree in a numerate and/or statistical subject
  2. Expert-level knowledge in R or Python
  3. 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.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology

Industries

Data Infrastructure and Analytics

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