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- Tasks: Develop and implement loss models for environmental risks like floods and wildfires.
- Company: Join a mission-driven impact tech company backed by top-tier venture capital.
- Benefits: Enjoy hybrid working, competitive salary, equity options, and comprehensive benefits.
- Why this job: Make a real difference in tackling climate challenges while working with a talented team.
- Qualifications: PhD or equivalent experience in climate science, with 3+ years in related modelling domains.
- Other info: Opportunity to represent the team at industry events and engage externally.
The predicted salary is between 52000 - 68000 £ per year.
Albany Growth are partnering with a mission-led impact tech focused company backed by a top-tier VC who are looking to expand out their world class research and science team and as a result are looking for a Data Scientist with specific experience in loss modelling. This role is ideal for someone with experience in catastrophe or physical risk modelling, applied statistics, and geospatial data. You’ll play a key role in shaping the loss modelling framework behind a next-generation SaaS platform used by global clients across banking, insurance, and real estate.
Key Responsibilities
- Develop and implement robust, scientifically grounded loss models across things such as floods, storms, droughts, and wildfires
- Calibrate and validate models using large geospatial and financial loss datasets
- Help shape a flexible loss modelling framework adaptable across global markets
- Collaborate with stakeholders to communicate modelling approaches and outputs
- Represent the team at industry events and contribute to external engagement
Key Requirements
- Strong experience in catastrophe or loss model development and calibration
- Applied statistical background with ability to validate models both quantitatively and qualitatively
- Proficiency with geospatial data, Earth Observation sources, and climate datasets
- Skilled in Python, R, or similar programming language
- Excellent communication skills, with the ability to explain technical concepts clearly
- PhD or equivalent experience in climate science, hazard modelling, remote sensing, or statistical modelling
- 3+ years of experience in climate risk, catastrophe, or related modelling domains
Bonus Experience
- Expertise in exposure and vulnerability within catastrophe models
- Background in Bayesian statistics, Extreme Value Theory, or uncertainty quantification
- Knowledge of machine learning techniques for climate risk
- Familiarity with cloud computing (AWS, GCP)
If you’re excited about applying scientific rigour to tackle one of the world’s most urgent challenges, apply using the link and we’ll be in touch with more details.
Data Scientist (Loss Modelling) employer: Albany Growth
Contact Detail:
Albany Growth Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist (Loss Modelling)
✨Tip Number 1
Familiarise yourself with the latest trends in catastrophe modelling and loss assessment. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the climate risk and catastrophe modelling fields. Attend industry events or webinars where you can meet potential colleagues and learn more about the company’s approach to loss modelling.
✨Tip Number 3
Brush up on your programming skills, particularly in Python or R, as these are crucial for the role. Consider working on personal projects or contributing to open-source projects that involve geospatial data analysis.
✨Tip Number 4
Prepare to discuss your previous experience with model calibration and validation. Be ready to share specific examples of how you've tackled similar challenges in your past roles, as this will demonstrate your expertise and problem-solving abilities.
We think you need these skills to ace Data Scientist (Loss Modelling)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in catastrophe or loss modelling, applied statistics, and geospatial data. Use specific examples that demonstrate your skills in these areas.
Craft a Compelling Cover Letter: In your cover letter, express your passion for tackling environmental risks and how your background aligns with the company's mission. Mention any relevant projects or experiences that showcase your expertise in loss modelling.
Highlight Technical Skills: Clearly outline your proficiency in programming languages like Python or R, and any experience with cloud computing platforms. This is crucial for a role that requires strong technical capabilities.
Showcase Communication Skills: Since excellent communication skills are essential for this role, provide examples of how you've effectively communicated complex technical concepts to non-technical stakeholders in the past.
How to prepare for a job interview at Albany Growth
✨Showcase Your Technical Skills
Be prepared to discuss your experience with catastrophe modelling and applied statistics. Highlight specific projects where you've developed or calibrated loss models, and be ready to explain the methodologies you used.
✨Demonstrate Your Communication Abilities
Since excellent communication skills are crucial for this role, practice explaining complex technical concepts in simple terms. Think of examples where you've successfully communicated your findings to non-technical stakeholders.
✨Familiarise Yourself with Geospatial Data
Brush up on your knowledge of geospatial data and Earth Observation sources. Be ready to discuss how you've used these datasets in previous roles, particularly in relation to climate risk and loss modelling.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Prepare to discuss how you would approach developing a loss model for a specific event, such as a flood or wildfire, and the factors you would consider.
