At a Glance
- Tasks: Build intelligent AI systems and deliver cutting-edge data solutions for real-world challenges.
- Company: Join a leading Enterprise Data & Analytics practice at the forefront of AI innovation.
- Benefits: Competitive salary, flexible working options, and continuous learning opportunities.
- Other info: Collaborative environment with a focus on professional growth and hands-on project involvement.
- Why this job: Make a tangible impact by transforming AI potential into scalable solutions for diverse industries.
- Qualifications: Experience in data science, strong problem-solving skills, and proficiency in programming languages.
The predicted salary is between 50000 - 70000 £ 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.
BI Consultant/Data Analyst in City of London employer: Fortice
Join a forward-thinking company that champions innovation and collaboration in the heart of the UK's Enterprise Data & Analytics landscape. As a BI Consultant/Data Analyst, you'll thrive in a dynamic work culture that prioritises continuous learning and professional growth, while delivering impactful AI solutions that transform businesses. With access to cutting-edge technology and a supportive peer community, you'll be empowered to turn complex data challenges into real-world applications, making a meaningful difference for clients across various industries.
StudySmarter Expert Advice🤫
We think this is how you could land BI Consultant/Data Analyst in City of London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Fortice!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like BI Consultant/Data Analyst at Fortice.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Fortice.
✨Apply Directly through Our Website
When you find a suitable opening like BI Consultant/Data Analyst at Fortice, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace BI Consultant/Data Analyst in City of London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Fortice, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Fortice. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Fortice
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Fortice!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
