At a Glance
- Tasks: Deliver analytical projects and insights for major clients using advanced GIS and data techniques.
- Company: Leading data business with a focus on innovation and analytics.
- Benefits: Competitive salary, hybrid work, and opportunities for professional growth.
- Other info: Mentorship opportunities and a collaborative environment for career advancement.
- Why this job: Join a dynamic team and make an impact with cutting-edge technologies in GIS and data science.
- Qualifications: Strong analytical skills and experience in GIS, data science, or consulting.
The predicted salary is between 40000 - 65000 £ per year.
- Senior GIS Consultant
- London | Hybrid
I'm supporting a leading data business who are looking to add a Senior GIS Consultant to their growing team.
The role sits within a specialist analytics and consulting function delivering projects across customer insights, location strategy, spatial analysis, predictive modelling and business intelligence for major UK and international organisations.
The environment includes
- SQL
- Python
- AWS
- Snowflake
- Alteryx
- GIS / Spatial Analysis
- Power BI / Tableau
- Advanced Analytics & Visualisation
You'll be responsible for
- Delivering analytical and consulting projects for a range of clients
- Working with large and complex datasets
- Developing predictive and statistical models
- Translating data into clear commercial recommendations
- Presenting insights to stakeholders and senior decision makers
- Supporting and mentoring junior team members
We're particularly interested in people who combine strong analytical and consulting skills with an interest in emerging technologies, including AI, Data Science and Large Language Models.
Whilst this is not a pure AI role, experience applying modern data science techniques, experimenting with LLMs, or using AI to enhance analytical workflows would be highly beneficial.
Backgrounds could include
- Analytics Consulting
- Customer Analytics
- Location Intelligence
- GIS & Spatial Analytics
- Data Science
- Commercial Analytics
If you'd like to learn more, please get in touch.
Senior Geographic Information System Consultant in Slough employer: Breakthrough Talent
Breakthrough Talent is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Senior Data Infrastructure Engineer, you'll have access to cutting-edge technology and the opportunity for professional growth within a supportive team environment. Located in a vibrant area, we provide competitive benefits and a commitment to employee development, making it a rewarding place to advance your career in data engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Geographic Information System Consultant in Slough
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We think you need these skills to ace Senior Geographic Information System Consultant in Slough
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!
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How to prepare for a job interview at Breakthrough Talent
✨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!
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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
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✨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.
