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- 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 options, and continuous learning opportunities.
- Why this job: Be part of the AI revolution and make a tangible impact across various industries.
- Qualifications: Experience in data science or AI, strong problem-solving skills, and technical proficiency.
- Other info: Collaborative environment with a focus on professional growth and cutting-edge technology.
The predicted salary is between 36000 - 60000 ÂŁ 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:
- 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
Architectural knowledge or hands‑on experience with one or more major data/AI platforms:
- Amazon Web Services (AWS)
- 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 employer: Fortice
Contact Detail:
Fortice Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Consultant
✨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 refer you directly.
✨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 — it’s a great way to impress potential employers.
✨Tip Number 3
Prepare for interviews by practising common data science questions and case studies. Think about how you can explain complex concepts in simple terms, as you'll need to communicate effectively with non-technical stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals who are passionate about AI and data science. Your next big opportunity could be just a click away!
We think you need these skills to ace Data Science Consultant
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your excitement for AI and data science shine through! We want to see how you connect with the role and the impact you believe AI can have in real-world scenarios.
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 problems and delivered results, so don’t hold back!
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.
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 AI Stuff
Make sure you brush up on the latest trends in Agentic AI and Generative AI. Be ready to discuss how you've applied these technologies in real-world scenarios, as well as your experience with machine learning and data science solutions.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex data problems. Use the STAR method (Situation, Task, Action, Result) to structure your answers and demonstrate your structured problem-solving abilities.
✨Communicate Clearly
Since you'll be explaining complex concepts to non-technical stakeholders, practice simplifying your explanations. Think about how you can make technical jargon accessible and relatable to someone without a data background.
✨Collaborate and Engage
Highlight your teamwork skills by discussing past collaborations with data engineers, architects, or clients. Show that you can work effectively in a team environment and are eager to engage with others to deliver robust solutions.
