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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 complex, high-impact programmes.
- Why this job: Make a real impact by combining AI and geospatial insights in meaningful projects.
- 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.
Work From Home Consultant in London employer: Datatech Analytics
Contact Detail:
Datatech Analytics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Work From Home Consultant in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend webinars, and join relevant groups. The more connections we make, the better our chances of landing that Work From Home Consultant gig.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those involving AI and advanced analytics. This will help us stand out when applying through our website.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice explaining complex concepts in simple terms, as you'll need to communicate with both technical and non-technical folks.
✨Tip Number 4
Stay updated on industry trends! Follow blogs, podcasts, and news related to AI and operational research. This will not only boost our knowledge but also show potential employers that we're genuinely interested in the field.
We think you need these skills to ace Work From Home Consultant in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your analytical skills, experience with AI, and any relevant projects you've worked on. 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 the role and how your background in data science or operational research makes you a perfect fit. Keep it engaging and personal – we love to see your personality!
Showcase Your Technical Skills: Since we're working with tools like Python, SQL, and R, make sure to mention your proficiency with these technologies. If you've worked with geospatial datasets or built predictive models, share those experiences. We’re keen to know what you can bring to the table!
Apply Through Our Website: We encourage you to apply directly 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. Plus, it’s super easy!
How to prepare for a job interview at Datatech Analytics
✨Know Your Tech
Make sure you brush up on your knowledge of Python, SQL, R, and any other tools mentioned in the job description. Being able to discuss how you've used these technologies in past projects will show that you're not just familiar with them, but that you can apply them effectively.
✨Showcase Your Analytical Skills
Prepare examples of how you've tackled complex problems using data science or operational research methods. Be ready to explain your thought process and the impact of your solutions, as this role requires strong analytical capabilities.
✨Communicate Clearly
Practice translating technical jargon into layman's terms. You’ll need to bridge the gap between technical and non-technical stakeholders, so demonstrating your ability to communicate complex ideas simply will be a big plus.
✨Understand the Company’s Impact
Research the organisation's projects and their real-world implications. Showing that you understand how AI and advanced analytics can solve complex challenges will demonstrate your genuine interest in the role and the company’s mission.