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- Tasks: Lead data analytics and create predictive models to drive decision-making across the College.
- Company: Join a forward-thinking College committed to innovation and excellence.
- Benefits: Competitive salary, 28 days leave, hybrid working, and a supportive pension scheme.
- Other info: Dynamic role with opportunities for professional growth and development.
- Why this job: Make a real impact by translating complex data into actionable insights for leaders.
- Qualifications: Experience in data science and strong analytical skills required.
The predicted salary is between 55595 - 57762 £ per year.
The College is seeking applications for a Senior Data Scientist. The Senior Data Scientist will provide leadership in data analytics, reporting, and digital insight across the College. The postholder will play a critical role in ensuring compliance with ETI, DfE, audit and externally funded project requirements, while driving a culture of evidence‑based decision‑making.
This role will research, design, and implement advanced analytical models and predictive tools to support curriculum, support services, financial planning, quality improvement, and strategic development. The postholder will translate complex data outputs into clear, actionable insights for senior leaders, managers, and external stakeholders.
The Senior Data Scientist will provide coordination to and steer the Online Services and Management Information System Team, ensuring robust data governance, continuous improvement, and alignment with sectoral best practice.
Contract Information
- Band 10 - £55,595 – £57,762 per annum
- 28 days annual leave per annum
- Nilgosc Pension Scheme
- Location: North West Regional College; hybrid working. Must be able to travel to Derry~Londonderry, Limavady and Strabane campuses as business requires.
Disability Confident Employer
The College welcomes applications from applicants with a disability. Applicants with a disability are encouraged to visit the College website https://www.accessable.co.uk/ which provides accessibility information on College facilities.
Safeguarding & Equal Opportunities
The College is committed to safeguarding and promoting the welfare of children and young people and expects all staff and volunteers to share this commitment. The College is committed to equal opportunities and to selection on merit. It therefore welcomes applications from all sections of society in particular applicants from the Protestant Community.
Reserve List
There is a possibility that a reserve list will be retained if more applicants are deemed suitable than posts exist. In the event the successful candidate fails to take up the post or if the post is vacated within 12 months of the appointment date, or if another vacancy arises within 12 months the post may be offered to the next person on the reserve list.
02790/26 - Senior Data Scientist employer: North West Regional College
Contact Detail:
North West Regional College Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land 02790/26 - Senior Data Scientist
✨Tip Number 1
Network like a pro! Reach out to current employees at the College or in similar roles on LinkedIn. A friendly chat can give us insider info and might just get your foot in the door.
✨Tip Number 2
Prepare for the interview by brushing up on your data analytics skills. Be ready to discuss how you've used advanced analytical models in past roles. We want to see your problem-solving prowess in action!
✨Tip Number 3
Showcase your ability to translate complex data into actionable insights. Bring examples of how your work has influenced decision-making in previous positions. We love seeing real-world impact!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always on the lookout for passionate candidates who align with our values.
We think you need these skills to ace 02790/26 - Senior Data Scientist
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your application to highlight how your skills and experiences align with the Senior Data Scientist role. We want to see how you can lead in data analytics and provide actionable insights, so don’t hold back on showcasing your relevant achievements!
Showcase Your Technical Skills: This role is all about advanced analytical models and predictive tools, so be sure to mention any specific technologies or methodologies you’re familiar with. We love seeing candidates who can translate complex data into clear insights, so give us examples of how you've done this in the past.
Be Clear and Concise: When writing your application, clarity is key! Use straightforward language and avoid jargon where possible. We appreciate a well-structured application that makes it easy for us to see your qualifications and fit for the role.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the position. Plus, it’s super easy to do, so why not?
How to prepare for a job interview at North West Regional College
✨Know Your Data Inside Out
As a Senior Data Scientist, you'll need to demonstrate your expertise in data analytics. Brush up on the latest analytical models and predictive tools relevant to the role. Be ready to discuss specific projects where you've successfully translated complex data into actionable insights.
✨Showcase Leadership Skills
This position requires leadership in data analytics across the College. Prepare examples of how you've led teams or projects in the past, particularly in driving evidence-based decision-making. Highlight your ability to coordinate with different teams and ensure robust data governance.
✨Understand Compliance Requirements
Familiarise yourself with compliance standards like ETI and DfE, as well as audit requirements. Be prepared to discuss how you've ensured compliance in previous roles and how you can apply that knowledge to this position.
✨Engage with Stakeholders
The role involves translating data insights for senior leaders and external stakeholders. Think about how you've effectively communicated complex information in the past. Practice explaining your work in simple terms, focusing on the impact it had on decision-making.