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For Companies At a Glance
- Tasks: Lead AI and analytics projects, turning data into impactful solutions for real-world challenges.
- Company: Join a £1.2bn not-for-profit organisation building its AI capabilities from the ground up.
- Benefits: Enjoy a competitive salary, strong pension, healthcare, and flexible working arrangements.
- Why this job: Make a tangible difference in student accommodation, social housing, and care homes through data.
- Qualifications: Experience in data science and advanced analytics with a focus on practical applications.
- Other info: Be part of a dynamic team shaping the future tech stack in a brand new data function.
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
Contact Detail:
TRIA 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, attend meetups, and connect with potential colleagues 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
Showcase your skills in real-time! Consider creating a portfolio of your projects or even doing live demos of your work. This is a great way to demonstrate your hands-on experience and how you can turn data into actionable insights.
✨Tip Number 3
Prepare for interviews by anticipating questions about your past projects. Be ready to discuss how you've used predictive analytics and machine learning to drive tangible outcomes. We want to hear about your successes and how you can replicate them!
✨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, it shows you’re genuinely interested in joining our mission to make a difference in people's lives through data.
We think you need these skills to ace AI Solutions Manager in Worcester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of AI Solutions Manager. Highlight your data science experience and any projects where you've turned ideas into real-world applications. We want to see how your skills align with our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're excited about building AI capabilities from scratch. Share specific examples of how you've influenced decisions through your work, and let your passion for data science come through.
Showcase Your Soft Skills: While technical skills are crucial, don’t forget to highlight your soft skills too! We’re looking for someone who can communicate insights effectively and work collaboratively with BI teams. Let us know how you’ve done this in past roles.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at TRIA
✨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 real-world outcomes in previous projects. This will show your potential employer that you can translate analytical insights into actionable strategies.
✨Showcase Your Hands-On Experience
Since this role is all about being hands-on, come ready with examples of proof-of-concept models you've built. Highlight any predictive analytics or machine learning projects you've worked on, especially those that led to tangible changes in operations.
✨Communicate Clearly with Stakeholders
Practice explaining complex data concepts in simple terms. You’ll need to convey your insights to senior stakeholders who may not have a technical background. Being able to bridge that gap will set you apart from other candidates.
✨Embrace the Ambiguity
This role requires someone who thrives in uncertain environments. Prepare to discuss how you’ve navigated ambiguity in past roles and turned quick wins into larger successes. Show them you’re excited about building something from scratch!
