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- Tasks: Lead high-value client engagements in decision intelligence and AI operations.
- Company: Innovative AI consultancy transforming data into actionable business decisions.
- Benefits: Competitive salary, professional development, and opportunities to shape the future of decision science.
- Why this job: Make a real impact by architecting decision systems that drive measurable business outcomes.
- Qualifications: 8+ years in decision science or data science with strong Python and ML skills.
- Other info: Mentor a talented team and contribute to a culture of innovation and accountability.
The predicted salary is between 72000 - 108000 £ per year.
AI consultancy building capabilities in decision intelligence, semantic data systems and operational AI. This role leads the capability that transforms data and models into real operational decisions and measurable business outcomes. Combining decision architecture, applied modelling and AI system integration, ensuring analytical work directly drives how organisations plan, price, forecast and operate. You will lead complex client engagements, shape the firm's decision science practice, working alongside AI engineering and consulting leaders to design, deliver and scale production decision systems.
What you will do
- Client leadership: Lead high-value engagements in decision intelligence and AI-enabled operations, working directly with C-suite, data leaders, and operational heads. Translate complex business problems into decision systems with measurable outcomes across areas such as pricing optimisation, demand forecasting, risk and fraud modelling, resource allocation, and AI-enabled decision systems.
- Build capability: Define and scale the firm's Decision Science practice. Create modelling frameworks, reusable components, and decision accelerators. Shape how modelling integrates with ontologies, semantic data platforms, and AI agents.
- Design decision systems: Go beyond modelling to architect end-to-end decision systems combining data pipelines, ML models, business rules, semantic layers and AI agents, all embedded in real workflows and operational systems.
- Grow the business: Drive new client relationships and expand existing accounts through measurable value creation. Lead proposals, shape thought leadership and build market visibility in decision intelligence.
- Lead the team: Mentor Decision Scientists and AI engineers. Set hiring standards, build delivery playbooks and contribute to a culture of high-agency, high-accountability builders.
What we are looking for
- 8+ years in decision science, data science, quantitative modelling, or operations research.
- Proven track record applying models in live business decision environments.
- Strong fluency in Python, modern ML tools, and decision optimisation frameworks.
- Deep understanding of statistical modelling and machine learning with experience deploying models into production-scale systems.
- Beneficial: pricing and revenue optimisation, forecasting and supply chain, risk and fraud modelling, reinforcement learning, causal inference and experimentation.
- Experience with AI systems, agentic architectures, or decision intelligence platforms is a strong advantage, as is consulting or senior client leadership experience.
Head Of Decision Science Consulting, UK Based employer: Staffworx Limited
Contact Detail:
Staffworx Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head Of Decision Science Consulting, UK Based
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and decision science space. Attend industry events, webinars, or even local meetups. The more people you know, the better your chances of landing that dream role.
✨Tip Number 2
Showcase your expertise! Create a portfolio that highlights your past projects and successes in decision science. Use platforms like LinkedIn to share insights and articles related to AI and decision intelligence. This will position you as a thought leader in the field.
✨Tip Number 3
Prepare for interviews by practising common questions related to decision science and AI. Be ready to discuss how you've applied models in real business scenarios. We recommend doing mock interviews with friends or mentors to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search. So, get your application in and let’s make some magic happen!
We think you need these skills to ace Head Of Decision Science Consulting, UK Based
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Head of Decision Science Consulting. Highlight your experience in decision intelligence, data science, and any relevant client leadership roles. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about decision science and how you can drive measurable outcomes for our clients. We love seeing your personality come through, so don’t hold back!
Showcase Relevant Projects: Include specific examples of projects where you've applied decision science or AI systems. We’re interested in how you’ve transformed data into actionable insights and measurable business results. Make it clear how your work has made an impact!
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 you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Staffworx Limited
✨Know Your Stuff
Make sure you brush up on your decision science and AI knowledge. Be ready to discuss how you've applied models in real business scenarios, especially in areas like pricing optimisation and demand forecasting. The more specific examples you can provide, the better!
✨Showcase Your Leadership Skills
Since this role involves leading client engagements and mentoring teams, be prepared to share your experiences in these areas. Think about times when you've successfully led a project or guided a team through a complex challenge. Highlight your ability to build relationships with C-suite executives too!
✨Demonstrate Your Technical Proficiency
Familiarise yourself with Python and modern ML tools, as well as decision optimisation frameworks. Be ready to discuss your experience deploying models into production-scale systems. If you have any projects that showcase your technical skills, don’t hesitate to bring them up!
✨Think Big Picture
This role is all about transforming data into actionable insights. Be prepared to talk about how you would design end-to-end decision systems and integrate them into operational workflows. Show that you understand the broader implications of decision intelligence and how it can drive measurable business outcomes.