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- Tasks: Lead exciting data science projects like predictive modelling and pricing analytics.
- Company: Join a prestigious civil service organisation making a real impact.
- Benefits: Enjoy a competitive salary, generous pension, and performance bonuses.
- Why this job: Work independently in a collaborative environment on diverse, meaningful projects.
- Qualifications: Degree in a numerate/statistical subject; experience with ML algorithms required.
- Other info: Must have 5 years UK residency for SC clearance; no visa sponsorship available.
The predicted salary is between 42000 - 60000 £ per year.
Location: Glasgow - 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
- 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
- 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
- Degree in a numerate and/or statistical subject
- 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.
Senior Data Scientist employer: DataCareers
Contact Detail:
DataCareers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Familiarise yourself with the specific data science projects mentioned in the job description, such as pricing analytics and predictive modelling. This will help you demonstrate your relevant experience and knowledge during any discussions or interviews.
✨Tip Number 2
Make sure to highlight your experience with supervised and unsupervised machine learning algorithms. Be prepared to discuss specific examples of how you've applied these techniques in past projects, as this is a key requirement for the role.
✨Tip Number 3
Since strong communication skills are essential, practice explaining complex data insights in simple terms. This will not only help you in interviews but also show that you can effectively present findings to stakeholders.
✨Tip Number 4
Given the need for SC clearance, ensure you have all necessary documentation ready to prove your eligibility. Being proactive about this can set you apart from other candidates who may not be as prepared.
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with supervised and unsupervised machine learning algorithms, as well as your proficiency in R or Python. Emphasise any relevant projects that showcase your ability to develop predictive models and automated reporting pipelines.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data science and how your skills align with the responsibilities of the Senior Data Scientist role. Mention specific projects you've worked on that relate to pricing analytics, segmentation, or insight automation.
Highlight Relevant Qualifications: Clearly state your degree in a numerate or statistical subject and any additional certifications that may enhance your application. This is crucial for demonstrating your technical expertise and suitability for the role.
Showcase Communication Skills: Since strong communication skills are essential for this position, include examples of how you've effectively presented data insights to stakeholders or supported analysts in previous roles. This will help illustrate your ability to convey complex information clearly.
How to prepare for a job interview at DataCareers
✨Showcase Your Technical Skills
As a Senior Data Scientist, you'll need to demonstrate your expertise in R or Python. Be prepared to discuss specific projects where you've applied machine learning algorithms and how you approached problem-solving in those scenarios.
✨Prepare for Scenario-Based Questions
Expect questions that assess your ability to manage complex data projects. Think of examples where you've led the development of automated reporting pipelines or created predictive models, and be ready to explain your thought process and outcomes.
✨Communicate Clearly
Strong communication skills are essential for this role. Practice explaining your data insights in a way that's easy to understand, especially for stakeholders who may not have a technical background. Use visuals if possible to enhance your explanations.
✨Understand the Organisation's Goals
Research the civil service organisation and its mission. Be prepared to discuss how your work as a Senior Data Scientist can contribute to their objectives, particularly in areas like pricing analytics and insight automation.
