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For Companies At a Glance
- Tasks: Lead AI and analytics projects that make a real-world impact on communities.
- Company: Join a £1.2bn not-for-profit organisation building its data function from scratch.
- Benefits: Enjoy a competitive salary, strong pension, healthcare, and flexible working.
- Why this job: Shape the future of AI in a dynamic environment with meaningful outcomes.
- Qualifications: Experience in data science and advanced analytics with a hands-on approach.
- Other info: Work closely with senior stakeholders and influence operational change.
The predicted salary is between 75000 - 80000 £ per year.
Are you a data scientist who wants to take ideas out of notebooks and into the real world? This is a rare chance to join a £1.2bn-turnover, not-for-profit organisation at the exact moment it builds its AI and advanced analytics capability from scratch. The data function is brand new. The mandate is clear. The backing is real. And you’ll be working directly with a CDO who has spent her career building serious data teams. You’re not inheriting someone else’s mess. You’re stepping into a blank slate.
Practical details
- Salary: £75,000-£80,000
- Benefits: Strong pension and healthcare
- Working pattern: 3 days per week in the office - non-negotiable
- Location: Candidates must be within ~50 miles of WR1
What makes this role genuinely interesting
This organisation operates across student accommodation, social housing and care homes. That means your work doesn’t just end in dashboards; it affects buildings, services, partners and people’s day-to-day lives. Right now, the focus is on:
- Understanding historic data properly
- Using it to predict what’s coming next
- Turning quick, "down and dirty" proofs of concept into real operational change
Think predictive maintenance, service downtime reduction, smarter contracts, and eventually light-touch IoT-style use cases. If you’ve ever wanted to do the kind of work Landsec, innovation teams or physical-world data science groups do, this is that - just earlier and with more freedom.
What you’ll actually be doing
- Acting as the hands-on AI/advanced analytics lead within a newly formed data function
- Building proof-of-concept models using historic and live operational data
- Exploring predictive analytics and machine learning use cases that drive tangible outcomes
- Working closely with BI Managers and SQL Developers who handle the core reporting layer
- Translating analytical insight into something senior stakeholders can actually act on
- Helping shape the future tech stack rather than being forced into an existing one
This is not a people-management role. You’re not inheriting a team. You will be hands on, influence others, and help define what "good" looks like.
The tech (deliberately flexible)
They’re currently working across:
- Azure
- SAP Datasphere
- SAP Analytics Cloud
- BI and SQL-heavy environments
But they are not wedded to a fixed stack. Strong fundamentals matter more than specific tools. If you can justify the approach and prove the value quickly, you’ll be listened to.
This will suit you if you
- Are a data scientist or advanced analytics specialist with real, applied experience
- Have delivered models that influenced decisions in the physical or operational world
- Are comfortable working closely with BI teams rather than sitting in isolation
- Enjoy ambiguity, quick wins and building something from nothing
- Don’t want to manage people yet, but want your work to matter
They’re deliberately not looking for someone overly senior or heavily managerial.
AI Solutions Manager in Kempsey employer: Tria Recruitment
Contact Detail:
Tria Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Solutions Manager in Kempsey
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those that demonstrate your ability to turn data into actionable insights. This will help you stand out when chatting with potential employers.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to AI and analytics. Be ready to discuss how you've tackled real-world problems with your data skills – this is your chance to shine!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace AI Solutions Manager in Kempsey
Some tips for your application 🫡
Show Your Passion for Data: When you're writing your application, let your enthusiasm for data science shine through! We want to see how excited you are about turning ideas into real-world solutions. Share specific examples of projects you've worked on that demonstrate your love for the field.
Tailor Your Application: Make sure to customise your application to fit the role of AI Solutions Manager. Highlight your experience with predictive analytics and machine learning, and explain how your skills can help us build our new data function from scratch. A little personal touch goes a long way!
Be Clear and Concise: We appreciate clarity in applications. Keep your language straightforward and avoid jargon unless it's necessary. Make it easy for us to understand your experience and how it relates to the job. Remember, less is often more!
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 role. Plus, it gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at Tria Recruitment
✨Know Your Data Inside Out
Make sure you’re familiar with the types of data this organisation works with, especially in student accommodation and social housing. Be ready to discuss how you’ve used historical data to drive operational change in your previous roles.
✨Showcase Your Hands-On Experience
Prepare examples of proof-of-concept models you've built in the past. Highlight how these models led to tangible outcomes, especially in predictive analytics or machine learning. This will demonstrate your ability to turn ideas into real-world applications.
✨Understand the Tech Stack Flexibility
While they mention specific tools like Azure and SAP, focus on your strong fundamentals in data science. Be prepared to discuss how you can adapt to different technologies and justify your approach based on value rather than specific tools.
✨Communicate with Impact
Since you’ll be translating analytical insights for senior stakeholders, practice explaining complex concepts in simple terms. Think about how you can make your insights actionable and relevant to their decision-making processes.
