Head of Data Strategy leading and developing data initiatives for Zurich's GI Business. Focusing on data strategy, governance, and analytics while fostering collaboration across teams.
About the role
- Data Scientist at Hiscox applying analytics to influence decisions across business functions. Collaborating with teams to leverage data for problem-solving and strategic insights.
Responsibilities
- Act as a critical thinker and problem solver for the business
- Apply core technical skills and innovative thinking to tackle complex challenges
- Identify opportunities and help shape data-driven decision-making across the London Market
- Manage multiple priorities and deliver ad hoc analysis and predictive/prescriptive models
- Communicate the business value of analytical solutions to stakeholders
- Work collaboratively with data scientists, data engineers and other technical people
- Contribute to delivering value through the use of analytics techniques
- Conceptualise new approaches and communicate your vision clearly to stakeholders
Requirements
- Degree in a STEM or closely related field or equivalent experience
- A further degree is a plus
- Experience of data science, advanced analytics or a genuine interest to learn
- Ability to conduct high quality research in a suitably timely manner working in both independently and in small teams as required by the task
- Familiarity with version control, agile working and other IT delivery tools is required
- Experience in developing predictive and prescriptive analysis (predictive modelling, machine learning or data mining) used to draw key business insights and clearly articulate findings for target audience
- Experience with analytical tools / programming languages and databases (for example: Python, R, SQL)
- Experience with large language models and prompting, GCP experience is a plus
- Interest in a variety of machine learning techniques from simple linear models and random forests to deep learning
- A particular interest in natural language processing or machine vision
- A strong grasp of foundational statistics is essential
- Experience working both in small teams and independently on analytics projects
- Strong verbal and written communications skills and effective presentation skills.
Benefits
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Medical Analyst analyzing engagement effectiveness with advanced analytics solutions aligned with Medical business strategies. Collaborating with cross - functional teams to provide insights for US Medical Affairs.
EU
Research Fellow/Trainee in Women's Health using Data Science and Health Information Technology. Developing interdisciplinary research skills and methodologies focusing on health research.
Senior Data Scientist developing Asset Management Analytics for Queensland Rail. Contributing to organisational KPIs and enhancing asset performance through data analysis and modelling.
Senior Data Science Advisor providing data for business decisions and developing solutions. Role involves advanced analytics in the property and casualty insurance industry with a focus on model development.
Cientista de Dados Sênior na Deroyque, integrando a equipe e dominando o ciclo completo de Machine Learning. Transformando dados em decisões inteligentes em ambiente híbrido.
Head of Data leading the data function at Stay22, enhancing data governance and monetization strategies.
Data Scientist at LawDepot optimizing the Checkout experience through data - driven decisions. Involves statistical analysis, experiment design, and collaboration to enhance revenue growth.
Data Scientist leveraging data insights and machine learning for operational efficiency and innovation. Collaborate with stakeholders to drive impactful strategic decisions.
Data Scientist at Sun Life leveraging data and analytics to support client - centric solutions. Collaborating with business units to apply advanced analytics and drive measurable value.