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For Companies At a Glance
- Tasks: Lead AI and analytics projects, turning data insights into real-world impact.
- Company: Join a £1.2bn not-for-profit organisation building its AI capability from scratch.
- Benefits: Competitive salary, strong pension, healthcare, and flexible working.
- Why this job: Make a difference in student accommodation and social housing with your data skills.
- Qualifications: Experience in data science and advanced analytics with a hands-on approach.
- Other info: Dynamic role with the freedom to shape the future tech stack.
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 Worcester employer: Tria Recruitment
Contact Detail:
Tria Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Solutions Manager in Worcester
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work in AI and analytics. Attend meetups or webinars, and don’t be shy about sliding into DMs on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those that turned data into actionable insights. When you get the chance to chat with potential employers, share your successes and how they can translate into real-world impact.
✨Tip Number 3
Prepare for interviews by understanding the company’s mission and how your skills can help them achieve their goals. Be ready to discuss specific examples of how you've used predictive analytics to drive change. This will show you’re not just a fit for the role, but also for their culture.
✨Tip Number 4
Apply through our website! We’ve got a streamlined process that makes it easy for you to showcase your talents. Plus, it shows you’re genuinely interested in joining our team. Don’t miss out on this opportunity to make a real difference!
We think you need these skills to ace AI Solutions Manager in Worcester
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 much you love turning ideas into real-world solutions, so share examples of your past work that demonstrate this passion.
Tailor Your Application: Make sure to customise your application to fit the AI Solutions Manager role. Highlight your experience with predictive analytics and machine learning, and explain how you've influenced decisions in the operational world. We appreciate a personal touch!
Be Clear and Concise: Keep your application straightforward and to the point. We’re looking for clarity in your writing, so avoid jargon and focus on what really matters. Show us how your skills align with our needs without waffling on!
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 makes the whole process smoother for everyone involved.
How to prepare for a job interview at Tria Recruitment
✨Know Your Data Inside Out
Make sure you’re well-versed in the historic data relevant to the role. Be prepared to discuss how you’ve used data to drive operational change in the past. This will show your potential employer that you can translate analytical insights into actionable outcomes.
✨Showcase Your Hands-On Experience
Since this role is all about being hands-on, come ready to share specific examples of proof-of-concept models you've built. Highlight any predictive analytics or machine learning projects that had a tangible impact, especially in physical or operational settings.
✨Embrace the Ambiguity
This organisation is looking for someone who thrives in uncertain environments. Be ready to discuss how you approach ambiguity and quick wins. Share instances where you’ve successfully navigated unclear situations to deliver results.
✨Engage with Stakeholders
Demonstrate your ability to communicate complex data insights to senior stakeholders. Prepare to explain how you’ve previously influenced decisions through your analytical work. This will show that you can bridge the gap between data science and business needs.
