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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.
Network Consultant - Remote in London employer: Datatech Analytics
Contact Detail:
Datatech Analytics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Network Consultant - Remote in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the industry on LinkedIn or at networking events. We can’t stress enough how important it is to make connections that could lead to job opportunities.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to AI and data science. We recommend doing mock interviews with friends or using online platforms to get comfortable with your responses.
✨Tip Number 3
Showcase your skills through projects or a portfolio. If you’ve worked on any relevant data science projects, make sure to highlight them. We love seeing practical applications of your knowledge!
✨Tip Number 4
Apply directly through our website! It’s the best way to ensure your application gets seen. Plus, we often have exclusive roles listed there that you won’t find anywhere else.
We think you need these skills to ace Network Consultant - Remote 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 great fit. Keep it engaging and personal – we love to see your personality!
Showcase Relevant Projects: If you've worked on projects involving geospatial datasets or advanced analytics, make sure to mention them! We’re interested in real-world applications of your skills, so don’t hold back on sharing your achievements.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take the initiative!
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, as you'll need to demonstrate how you can apply these tools to solve complex problems.
✨Showcase Your Problem-Solving Skills
Prepare examples from your past experiences where you've tackled challenging analytical problems. Be ready to discuss how you defined the problem, the methods you used, and the impact of your solutions. This will show your analytical capability and how you approach real-world challenges.
✨Communicate Clearly
Practice translating complex technical concepts into simple terms. You’ll likely be working with both technical and non-technical stakeholders, so being able to bridge that gap is crucial. Think of ways to explain your previous projects in a way that highlights their business value.
✨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 a Network Consultant fits into their mission will show your genuine interest and help you stand out as a candidate who’s aligned with their goals.