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- Tasks: Deliver data science solutions using AI and advanced analytics to tackle real-world challenges.
- Company: Leading consulting and technology organisation with a focus on innovation.
- Benefits: Hybrid working, exposure to high-profile projects, and opportunities for career progression.
- Other info: Join agile teams and work on meaningful projects that enhance operational decision-making.
- Why this job: Make a real impact by solving complex problems with cutting-edge technology.
- Qualifications: Degree in a quantitative discipline and experience with geospatial datasets.
The predicted salary is between 50000 - 70000 £ per year.
Working with a leading consulting and technology organisation applying AI, advanced analytics and operational research to solve highly complex, real-world challenges across government, infrastructure, defence and commercial environments.
The role includes:
- Delivering end-to-end data science solutions, from problem definition through to deployment
- Combining AI, machine learning and optimisation techniques with traditional operational research methods
- Building predictive, simulation and planning models that support operational and strategic decision-making
- Working alongside engineering and platform teams across modern data environments
- Translating complex technical outputs into clear commercial and operational insight
- Delivering within agile, cross-functional teams on high-impact programmes
Tech environment: Python, SQL, R, Databricks, PySpark, GIS and geospatial tooling, optimisation frameworks, cloud platforms.
Looking for:
- Degree or higher in Data Science, Mathematics, Operational Research, Physics, Engineering, Geography or similar quantitative discipline
- Experience working with geospatial, spatial or location-based datasets
- Strong grounding in modelling, optimisation, forecasting or advanced analytics
- Interest in how AI can enhance traditional operational research approaches
- Strong analytical and problem-solving capability
- Confident communicator, able to bridge technical and non-technical stakeholders
Why join:
- Complex, meaningful projects with real-world operational impact
- Opportunity to combine AI, geospatial insight and advanced modelling techniques
- Strong technical environment with genuine depth and progression
- Hybrid working and exposure to varied, high-profile programmes
Some roles require UK residency eligibility for security clearance. No sponsorship available.
Analytics Consultant in City of London employer: Datatech Analytics
Contact Detail:
Datatech Analytics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Consultant in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups or webinars, and connect with potential colleagues on LinkedIn. The more you engage, the better your chances of landing that Analytics Consultant role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those involving AI and geospatial datasets. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss how you've applied advanced analytics in real-world scenarios, and don’t forget to practice explaining complex concepts in simple terms!
✨Tip Number 4
Apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you a leg up. Plus, it shows you're genuinely interested in joining our team at StudySmarter.
We think you need these skills to ace Analytics Consultant in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Analytics Consultant. Highlight your experience with AI, advanced analytics, and any relevant projects that showcase your skills in Python, SQL, or R. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about using AI and operational research to tackle real-world challenges. Let us know how your background aligns with our mission and the specific projects we work on.
Showcase Your Problem-Solving Skills: In your application, don’t just list your skills—demonstrate them! Share examples of how you've tackled complex problems using data science techniques. We love seeing candidates who can bridge the gap between technical and non-technical stakeholders.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensure it gets the attention it deserves. Plus, you’ll find all the details about the role and our company culture there!
How to prepare for a job interview at Datatech Analytics
✨Know Your Tech
Make sure you're well-versed in the tech stack mentioned in the job description, like Python, SQL, and R. Brush up on your knowledge of AI and advanced analytics techniques, as you'll likely be asked to discuss how you can apply these in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare examples from your past experiences where you've tackled complex problems using data science solutions. Be ready to explain your thought process and how you arrived at your conclusions, especially in relation to operational research and optimisation.
✨Communicate Clearly
Practice translating technical jargon into layman's terms. You'll need to demonstrate that you can bridge the gap between technical and non-technical stakeholders, so think of ways to explain your work in a way that's relatable and easy to understand.
✨Understand the Company’s Impact
Research the organisation's projects and their impact on government, infrastructure, and defence. Being able to discuss how your role as an Analytics Consultant can contribute to meaningful outcomes will show your genuine interest and alignment with their mission.