At a Glance
- Tasks: Analyse data to optimise underwriting and improve cyber risk assessment.
- Company: Join Coalition, the first Active Insurance provider focused on preventing digital risks.
- Benefits: Enjoy 100% medical coverage, generous holidays, and wellness programmes.
- Other info: Collaborate with diverse teams and lead initiatives in a supportive culture.
- Why this job: Make a real impact in cybersecurity while advancing your career in a dynamic environment.
- Qualifications: 5+ years in quantitative analysis or risk modelling; strong SQL and Python skills.
The predicted salary is between 70000 - 90000 £ per year.
About us Coalition is the world's first Active Insurance provider designed to help prevent digital risk before it strikes. Founded in 2017, Coalition combines comprehensive insurance coverage and innovative cybersecurity tools to help businesses manage and mitigate potential cyberattacks. Opportunities to make an impact with bold thinking are real—and happening daily at Coalition.
About the role As a Senior Data Scientist at Coalition you will be responsible for measuring, understanding, and helping optimize Coalition’s underwriting. You will perform statistical analysis to provide data-driven insights. You will help us understand and improve our cyber risk selection and reduction, pricing and automation in order to grow our revenue in a safe and efficient manner.
Responsibilities
- Analyze diverse datasets including claims data, cybersecurity risk signals, and underwriting databases to extract meaningful patterns and insights.
- Large scale data analysis with the objective of producing valuable risk signals to be used for underwriting or risk evaluation of organizations.
- Develop and refine statistical and machine learning models to assess cybersecurity risks with applications to underwriting and pricing.
- Create comprehensive reports on underwriting efficiency metrics and risk selection quality to inform strategic decisions.
- Apply statistical techniques to evaluate and improve our cyber risk assessment methodology.
- Provide analytical support for underwriting strategies to balance growth with risk management.
- Identify, analyze, and implement opportunities to automate underwriting workflows using advanced analytics and data-driven strategies.
- Collaborate cross-functionally with actuarial, product, and engineering teams to implement data-driven improvements.
- Lead cross-functional initiatives in area of expertise.
- Serve as both a technical lead and a mentor within the underwriting team.
- Work alongside other data scientists, software engineers, and cyber security engineers to improve underwriting at Coalition.
- Intellectual curiosity and proactive approach to identifying improvement opportunities.
Skills and Qualifications
- Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Actuarial Science, or related discipline).
- 5+ years of experience in underwriting, quantitative analysis, or risk modeling in the insurance industry.
- Knowledge of underwriting, pricing, reserving, or risk management processes in insurance.
- Advanced SQL skills for querying complex databases and joining disparate data sources.
- Expertise in data manipulation and analysis using Python, R, or similar analytical tools.
- Experience with data visualization tools (e.g., Tableau, Power BI, Looker).
- Experience with dashboard creation for operational metrics tracking.
- Strong communication and analytical skills.
- Capable of working with remote teams.
Nice-to-have Skills
- Actuarial qualification.
- Experience in cyber insurance or cyber security.
- Prior experience or willingness to learn how to work with large datasets and big data technologies (Snowflake, AWS Athena).
Perks
- 100% medical coverage, including outpatient care.
- Life insurance.
- 25+ paid holidays.
- Annual home office stipend.
- 7% employer pension contribution.
- Mental and physical health wellness programs like Headspace, Wellhub.
- Competitive compensation and opportunity for advancement.
Senior Data Scientist employer: Coalition
Coalition is an exceptional employer that fosters a dynamic work culture focused on innovation and collaboration, particularly in the fast-paced field of cyber security. Employees benefit from comprehensive professional development opportunities, allowing them to enhance their skills while tackling meaningful challenges in incident response and digital forensics. Located in the UK, Coalition offers a supportive environment where team members can thrive and make a significant impact in safeguarding organizations against cyber threats.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Coalition!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Scientist at Coalition.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Coalition.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Scientist at Coalition, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Data Scientist
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Coalition, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Coalition. 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 Coalition
✨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!
✨Showcase Your Projects
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
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 Coalition!
✨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.
