Data Scientist Junior jobs in United Arab Emirates

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BirdsEyeView is an InsurTech venture based in London. BirdsEyeView builds Natural Catastrophe Modelling software for reinsurance and insurers globally. The software enables specialty insurers to model future floods, wildfires, tropical cyclones, and more.

The BirdsEyeView technology ecosystem includes a massive climate data infrastructure, scalable product development, and machine learning data cleansing and ingestion. By combining all these factors, BirdsEyeView helps underwriters assess their exposures to growing climate-change-induced natural catastrophes.

About the role

You’ll be tasked with supporting the continued development of Natural Peril development and integration for BirdsEyeView’s cloud-based WEATHER ANALYTIX platform. WEATHER ANALYTIX provides our insurance partners with cutting edge climate and weather analytics models, helping them assess their exposure to natural catastrophes and improve their underwriting performance.

You’ll be joining a small team of scientists, software developers and insurance experts and will have a unique opportunity to impact many levels of the firm, such as business applications and product development.

This is an ideal position for someone interested in working with large climate and geospatial data, building new technologies, while taking a deep dive into the insurance industry.

The role will present great opportunities for growth and you will play an important role in other areas of the business.

Key Responsibilities:

• Support the strategy and its implementation for the WEATHER ANLYTIX platform - on time and to budget.
• Process new meteorological datasets through our partnership with the European Space Agency.
• Work closely with the data science team to incorporate and create global Wildfire, Hurricane, Tornado, Lightning, Earthquake and Flood models.
• Collaborate with the Business Development teams to define and help deliver new products and enhancements.
• Identify, compare, select and implement technology solutions to meet current and future needs.
• Bachelor's degree in Computer Science, Statistics, Physics or a related quantitative field. Master's degree preferred.
• 2+ years relevant experience.
• Proven experience in Data Engineering or Solution Architecture, preferably in AWS.
• Strong proficiency in Python for data manipulation and machine learning.
• Experience working with large and complex geospatial datasets.
• Understanding of web systems architecture, design, and development.
• Ability to work autonomously with excellent time, budget, and project management skills.
• A hands-on, can-do attitude with the ability to collaborate effectively in a dynamic team environment.

Nice to Have:

• Experience working with JIRA, Confluence, GitLab, AWS
• Experience working with ERA5/Climate Data
• Experience working with MLOps and DevOps practices
• Knowledge of Insurance Market

Compensation

• Competitive salary and performance-based incentives
• Health Insurance & Pension Scheme
• Share option package
• 26 days per year holiday
• 7 Days Work from Abroad Policy
• Office Location: City of London

Important: This role is on-site with applicants expected in the office a minimum of 4 days / week.

We encourage you to apply even if you don’t strictly meet all mandatory criteria listed above. If you’re interested in applying, then please email your CV & Cover Letter to: [emailprotected]