At a Glance
- Tasks: Design and build AI solutions that transform real-world challenges into scalable outcomes.
- Company: Join a leading Enterprise Data & Analytics practice at the forefront of AI innovation.
- Benefits: Competitive salary, flexible working, and opportunities for continuous learning in AI.
- Other info: Collaborative environment with a focus on professional growth and cutting-edge technology.
- Why this job: Be part of the AI revolution and make a tangible impact across various industries.
- Qualifications: Experience in data science or AI, with strong problem-solving and communication skills.
The predicted salary is between 60000 - 80000 £ per year.
If you’re excited by the idea of building intelligent, agent-driven and GenAI-powered systems that operate in the real world, this role puts you right at the heart of that evolution. An opportunity to join a large, specialist Enterprise Data & Analytics practice delivering cutting-edge Agentic AI, Generative AI, Data Science and advanced analytics solutions for complex problems across industries, throughout the UK.
As a Data Scientist in this team, you’ll help clients move beyond experimentation into real-world AI adoption. You’ll work on designing, building and deploying intelligent solutions that combine machine learning, GenAI and agent-based systems to improve decision-making, automate complex tasks and unlock new value from data. You’ll play a hands-on role in both technical delivery and client engagement — helping organisations understand what’s possible with modern AI and turning that potential into scalable, production-ready solutions.
What You’ll Be Doing
- Supporting the end-to-end delivery of Agentic AI, GenAI, Data Science and Analytics projects, ensuring client expectations are met at every stage.
- Designing and building data science and AI solutions that move from proof of value into production environments.
- Developing intelligent agents and GenAI-powered workflows that augment or automate business processes.
- Creating compelling demonstrations and prototypes that inspire clients and showcase how AI and advanced analytics can be applied to their real business challenges.
- Applying structured problem-solving to messy, real-world data problems — balancing creativity with practical implementation.
- Collaborating closely with data engineers, architects, domain experts and client stakeholders to deliver robust, scalable outcomes.
- Continuously developing your skills in AI, data science and analytics, adopting modern techniques, tools and frameworks with support from a strong peer community.
- Delivering work efficiently and to a high standard, contributing to internal best practices and reusable assets.
Your Skills & Experience
- You’re a technically strong, curious data scientist who enjoys working at the frontier of applied AI while staying grounded in delivering real business value.
- Experience delivering data science or AI solutions in production or near-production environments.
- Strong problem-structuring skills and the ability to translate business challenges into analytical approaches.
- Confidence explaining complex AI and data science concepts to non-technical stakeholders.
- Technical experience in several of the following:
- Programming & Data Science
- Proficiency in Python, R, or PySpark.
- Experience with machine learning, statistical modelling, or optimisation techniques.
- Working with large, complex datasets in cloud or distributed environments.
- Cloud & Data Platforms
- Architectural knowledge or hands-on experience with one or more major data/AI platforms:
- Google Cloud Platform (GCP)
- Amazon Web Services (AWS)
- Microsoft Azure
- Databricks
- Agentic AI & Generative AI
- Experience with or interest in emerging Agentic and GenAI ecosystems, such as:
- Agent and orchestration platforms (e.g. Microsoft Copilot Studio, Adept AI, UiPath, Orby AI, Beam AI).
- LLM-based solution design, prompt engineering and tool integration.
- Building AI agents that can plan, reason, and interact with systems or users.
- Applying large language models in enterprise contexts with appropriate governance and controls.
Data Science Consultant in Slough employer: Fortice
Join a leading Enterprise Data & Analytics practice that champions innovation and collaboration, where your role as a Data Science Consultant will empower you to shape the future of AI solutions across diverse industries in the UK. With a strong emphasis on employee growth, you'll benefit from continuous learning opportunities and a supportive peer community, all while working on impactful projects that drive real-world change. Our inclusive work culture fosters creativity and encourages you to push the boundaries of technology, making this an exceptional place for those passionate about harnessing the power of data and AI.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science Consultant in Slough
✨Tip Number 1
Network like a pro! Get out there and connect with people in the data science field. Attend meetups, webinars, or industry events to meet potential employers and learn about job openings that might not be advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI and data science. Use platforms like GitHub to share your code and demonstrate your problem-solving abilities with real-world examples.
✨Tip Number 3
Prepare for interviews by practising common data science questions and case studies. Be ready to explain your thought process and how you tackle complex problems, as this will show your analytical skills and creativity.
✨Tip Number 4
Don’t forget to apply through our website! We have exciting opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s a great way to show your enthusiasm for joining our team!
We think you need these skills to ace Data Science Consultant in Slough
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let your enthusiasm for AI and data science shine through. We want to see how excited you are about building intelligent systems and solving real-world problems with cutting-edge technology.
Tailor Your Experience:Make sure to highlight your relevant experience in data science and AI solutions. We’re looking for specific examples of how you've tackled complex challenges and delivered results, so don’t hold back on the details!
Keep It Clear and Concise:While we love a good story, clarity is key! Use straightforward language to explain your skills and experiences. Remember, we want to understand your journey without getting lost in jargon or overly technical terms.
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 this exciting opportunity in our Data Science team.
How to prepare for a job interview at Fortice
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technical skills listed in the job description, especially Python, R, and machine learning techniques. Brush up on your experience with cloud platforms like GCP, AWS, or Azure, as you might be asked to discuss how you've used these tools in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex data problems. Use the STAR method (Situation, Task, Action, Result) to structure your answers, highlighting how you approached the problem and what impact your solution had on the business.
✨Communicate Clearly with Non-Techies
Since you'll need to explain complex AI concepts to non-technical stakeholders, practice simplifying your explanations. Think of analogies or straightforward examples that can help convey your points without jargon, making it easier for everyone to understand.
✨Demonstrate Your Passion for AI
Show your enthusiasm for AI and data science by discussing recent trends or projects you’ve been involved in. Mention any personal projects or continuous learning efforts, like online courses or workshops, to illustrate your commitment to staying at the forefront of the field.
