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 ZELP analyzing large datasets and developing data-driven solutions for agriculture. Collaborating with stakeholders and implementing machine learning models to address business challenges.
Responsibilities
- Collaborate with stakeholders to identify and understand business needs, translating them into data-driven solutions.
- Design, implement, and maintain robust data pipelines for collecting, cleaning, transforming, and analysing large datasets.
- Perform exploratory data analysis (EDA) to uncover trends and patterns.
- Develop and apply advanced statistical and machine learning models to solve business problems, including forecasting, segmentation, optimization, and predictive modeling.
- Conduct rigorous data analysis, interpret results, and communicate findings to technical and non-technical audiences in a clear and compelling manner.
- Develop and maintain interactive dashboards and visualizations to effectively present data insights and support decision-making.
- Stay abreast of emerging technologies and industry best practices in data science, continuously exploring opportunities for innovation and improvement.
- Contribute to the development of a data-driven culture within the organization, promoting the value of data-informed decision-making.
Requirements
- 4+ years of experience in data science, analytics, or a related field.
- Proven experience working with large datasets and statistical modeling.
- Proficiency in programming languages such as Python or R, with a strong understanding of object-oriented programming concepts.
- Experience in designing and implementing ETL pipelines, data warehousing, and data modeling.
- Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Expertise in statistical modeling, machine learning algorithms, and data mining techniques.
- Familiarity with data visualization and reporting tools, such as Tableau, Power BI, or Looker.
- Familiarity with cloud platforms (e.g., AWS, Azure, GCP) is a plus.
- Strong analytical and problem-solving skills, with the ability to translate complex data into actionable insights.
- Excellent communication and presentation skills, with the ability to effectively communicate with both technical and non-technical audiences.
- Collaborative mindset and ability to work effectively within cross-functional teams.
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.