At a Glance
- Tasks: Lead complex data science projects and mentor junior team members.
- Company: Join Hiscox, a dynamic insurance company focused on innovation.
- Benefits: Competitive salary, career growth, and a collaborative work environment.
- Other info: Work in a vibrant culture with amazing colleagues in London.
- Why this job: Make a real impact with cutting-edge data science solutions in a supportive team.
- Qualifications: Experience in data science and strong technical skills required.
The predicted salary is between 75600 - 92400 £ per year.
Build a brilliant future with Hiscox. As a Principal Data Scientist at Hiscox, you will be an integral part of a dynamic technical team, strategically focused on leveraging data science across our diverse business functions. Your expertise will be pivotal in transforming our underwriting capabilities, extending your influence across the entire insurance value chain, championing a multi-disciplinary approach to complex problem-solving.
You will lead the end-to-end delivery of our most significant and complex data science initiatives, driving technical strategy, architecture, and best practices. You'll be a key driver in defining and upholding technical standards, ensuring the development of robust, scalable, and high-quality solutions that enable fast, impactful delivery to stakeholders. Beyond project leadership, you will act as a crucial mentor and coach, fostering technical growth and expertise among junior and mid-level colleagues, elevating the overall capability of the team. You will collaborate extensively with other disciplines to ensure a holistic view is considered, facilitating smooth delivery and maximising business value.
Key Responsibilities:
- Utilise industry standards, emerging methodologies, and empirical research to develop critical business inputs and assist leaders in innovating their approaches.
- Technically lead the end-to-end delivery of our most complex data science initiatives, encompassing:
- Strong understanding of intricate business challenges and translation into technical problem statements.
- Working with diverse datasets, both internal and external.
- Expert application and development of advanced machine learning or statistical modelling techniques to generate actionable insights and deliver measurable impact.
- Provide hands-on technical mentorship and guidance to junior and mid-level data scientists, fostering best practices, elevating technical standards, and cultivating advanced skill development within the team.
- Engage closely with other members of the data and analytics community at Hiscox to deliver value through various analytics techniques, sharing advanced knowledge and driving the adoption of robust analytical capabilities.
- Design, implement and maintain robust technical frameworks for monitoring, evaluating and quantifying the commercial impact and efficiency of data science solutions, ensuring continuous value demonstration.
Person Specification:
- Bachelor's/Master's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Physics, Engineering) or equivalent.
- Extensive professional experience in data science, with a proven track record of technically leading and successfully delivering complex, impactful, and production-grade data science solutions.
- A background in data science within finance or insurance is advantageous but not required.
- Demonstrated capacity for independent, high-quality research and exploratory data analysis, with the ability to develop and apply novel methodologies to solve ill-defined and challenging business problems.
- Proven ability to design, implement, and maintain robust technical frameworks for evaluating commercial impact.
- Proven ability to technically mentor data scientists, fostering best practices, elevating technical standards, and contributing to the overall technical growth of the team.
- Strong understanding and practical experience with Agile development methodologies and software engineering best practices relevant to data science product delivery.
- Ability to articulate complex technical findings and methodologies into clear, concise, and actionable insights for diverse audiences, effectively influencing technical and non-technical stakeholders to drive data-driven decision-making and solution adoption.
- Demonstrable experience collaborating effectively with cross-functional teams to translate business challenges into robust technical requirements and ensure seamless delivery.
Key Technical Skills:
- Exceptional proficiency in Python (and R) for data science, coupled with SQL capabilities for data manipulation and extraction.
- Demonstrable mastery in a wide range of machine learning and statistical modelling techniques, from classical linear models and tree-based methods to advanced deep learning architectures.
- Practical experience with applications of Generative AI, Large Language Models (LLMs), and related areas such as Natural Language Processing (NLP) or Computer Vision, relevant to business solutions.
- Solid understanding of foundational statistics and experimental design.
- Familiarity with or experience on cloud platforms.
Impact and Achievements:
- Pioneer the development and robust deployment of highly impactful machine learning and AI-driven solutions, directly contributing to significant commercial value, quantifiable business growth, or efficiency gains across the organization.
- Translate complex data science insights into tangible, measurable improvements across critical business processes and key performance indicators, ensuring the real-world adoption and beneficial outcomes of our analytical work.
- Actively elevate the technical maturity and capabilities of the data science team by shaping and implementing industry-leading AI, data, and analytics techniques, methodologies, and engineering best practices.
Work with amazing people and be part of a unique culture.
Location: London
Type: Full time
Principal Data Scientist in London employer: Hiscox AG
Hiscox is an exceptional employer that prioritises diversity and inclusivity, fostering a culture where every employee can thrive. With a commitment to hybrid working, employees enjoy the flexibility to balance their professional and personal lives while collaborating with talented teams in a dynamic environment. The company offers robust opportunities for growth and development, ensuring that as a Technical Product Manager, you will play a pivotal role in shaping innovative solutions that drive business success.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Data Scientist in London
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We think you need these skills to ace Principal Data Scientist in 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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Craft a Tailored Cover Letter:For a full-time role at Hiscox AG, 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 Hiscox AG. 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 Hiscox AG
✨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
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 Hiscox AG!
✨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.
