At a Glance
- Tasks: Join our team to develop innovative GIS solutions using Python and cloud technologies.
- Company: Verisk Maplecroft, a leader in data analytics for the insurance industry.
- Benefits: Competitive salary, remote work options, and opportunities for professional growth.
- Other info: Dynamic team culture focused on innovation and continuous learning.
- Why this job: Make a real impact by transforming geospatial data into actionable insights for clients.
- Qualifications: Strong Python skills and experience with GIS pipelines and cloud environments.
The predicted salary is between 36000 - 60000 £ per year.
Job Description
We are looking for a Python Developer with strong GIS experience to join our growing team. As part of the client solutions team at Verisk Maplecroft, you will help create, collate and deliver data analytics and intelligence to our clients in a geospatial context. We are a Python/Django house with an Angular front end, recently moved to AWS, and we are constantly evolving our technology and development approach.
We are building a team that is able to utilize cloud computing to develop new workflows, pipelines, features and tools that give our clients the information they need to make the right decisions to create a more sustainable and resilient world.
Geospatial data forms are a significant component of the data structures used within Verisk Maplecroft, and with an increasing availability of geospatial data in the modern era, exploiting that data to provide risk insights to our clients is a primary objective of the client solutions team and this role.
Responsibilities
- Work in an agile team assisting in requirements gathering, refinement, and delivery of continual improvements to our mapping solutions and GIS data pipelines.
- Support and work with contractors to ensure effective collaboration and consistency of approach.
- Communicate and collaborate effectively with team members on technical projects.
- Deliver high-quality, maintainable well‑tested code that meets user requirements.
- Peer review other developers\' work in a thorough and constructive manner.
- Look for and drive opportunities to improve code quality, development processes, and team satisfaction.
- Provide mentoring to more junior members of the team.
Qualifications
- Strong Python development experience, following PEP8 standards.
- Experience developing GIS pipelines in Python, leveraging open‑source libraries such as Fiona, Shapely, Numpy, and Rasterio.
- Ability to communicate effectively, explaining and rationalizing design decisions to a cross‑functional team.
- Experience in object‑oriented programming concepts, unit & integration testing, data and relational databases, technical database design, web architecture, and application servers.
- Understanding and experience with geoservers, spatial projections, raster and vector manipulation within Python and usage of GDAL.
- Experience with AWS and data management tools, including data lake, data warehouse ETL, SQL‑based storage and PostgreSQL.
- Ability to design and implement data pipelines and data‑related solutions, ideally within a cloud environment.
- Strong ability to document development including database design, application design, and ongoing documentation of changes and modifications.
- Deep understanding of performance and scalability implications in the development process.
- Working knowledge of all phases of the software development life cycle, including basic understanding of identity and authentication management concepts and concepts related to security, such as secret management and key management.
- Ability to review code written by others and provide feedback and recommendations to follow coding guidelines.
- Experience working with Business Intelligence teams, developers, data scientists, analysts and PMs to deliver well‑architected and scalable Big Data & Analytics ecosystems.
- Demonstrated ability to learn and adapt to continuously changing technology.
- Must be able to identify multiple solutions to a given problem and find a rational, fact‑based approach for choosing the best one.
About Us
For over 50 years, Verisk has been the leading data analytics and technology partner to the global insurance industry by delivering value to our clients through expertise and scale. We empower communities and businesses to make better decisions on risk, faster.
We are a 7,000‑person team relentlessly pursuing innovation and look for people like you to help us translate big data into big ideas. Join us to create an exceptional experience for yourself and a better tomorrow for future generations.
Verisk Analytics is an equal opportunity employer.
All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran\'s status, age or disability. Verisk’s minimum hiring age is 18 except in countries with a higher age limit subject to applicable law.
GIS Developer in City of London employer: Verisk
Verisk Maplecroft is an exceptional employer that fosters a collaborative and innovative work culture, where GIS Developers can thrive in a dynamic environment focused on sustainability and resilience. With a commitment to employee growth, we offer opportunities for mentorship, continuous learning, and the chance to work with cutting-edge technologies like AWS and Python, all while contributing to meaningful projects that impact global communities. Join our diverse team of 7,000 professionals dedicated to transforming data into actionable insights, ensuring a rewarding career path in the heart of a forward-thinking organisation.
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We think this is how you could land GIS Developer in City of London
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We think you need these skills to ace GIS Developer in City of London
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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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Verisk. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Verisk
✨Brush Up on Your Statistics
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✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Verisk!
✨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.
