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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 a dynamic team and work on high-impact programmes.
- Why this job: Make a meaningful 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 London employer: Datatech Analytics
Contact Detail:
Datatech Analytics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Consultant in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. We can’t stress enough how valuable personal connections can be in landing that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those involving AI and advanced analytics. This is your chance to demonstrate your problem-solving capabilities and technical prowess.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you’ll need to bridge the gap between technical and non-technical stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can give you an edge. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Analytics Consultant in 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 data science and operational research.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how your background aligns with our needs. Don’t forget to mention your interest in geospatial datasets and AI!
Showcase Your Technical Skills: We love seeing candidates who are proficient in Python, SQL, R, and other tools mentioned in the job description. Be sure to include specific examples of how you've used these technologies in your previous work.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Datatech Analytics
✨Know Your Tech Inside Out
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've applied these in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex problems using data science solutions. Think about times when you’ve built predictive models or used optimisation techniques to drive decision-making, and be ready to explain your thought process.
✨Communicate Clearly with All Stakeholders
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 examples where you’ve successfully communicated complex insights in a straightforward way.
✨Understand the Company’s Impact
Research the organisation's projects and their real-world implications. Be prepared to discuss how your skills can contribute to meaningful outcomes in sectors like government or defence, showing that you’re not just technically capable but also aligned with their mission.