Why Hiring初级数据科学家（英国）| LinkedIn

This position requires strong quantitative skills, experience with large and complex datasets, and the ability to collaborate with analysts, engineers, and mission partners to develop high-impact solutions that drive intelligence insight and operational advantage.

Perform statistical analysis and data exploration to extract meaningful insights from complex datasets
Support the development and validation of predictive models to identify trends and patterns
Contribute to the development of AI/ML models and data-driven solutions
Conduct exploratory data analysis to support decision-making and operational planning
Assist in building and maintaining data pipelines for data collection, processing, and integration
Collaborate with data scientists, engineers, and cross-functional teams to improve data workflows
Develop scripts and tools to automate repetitive tasks and improve efficiency
Support initiatives to enhance data quality, structure, and accessibility
Apply basic experimental and analytical approaches to test ideas and evaluate outcomes
Contribute to improving data systems, workflows, and analytical capabilities
Assist in identifying data gaps, inconsistencies, and opportunities for optimization
Participate in team meetings, project discussions, and knowledge-sharing sessions

Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.

Proficiency in Python, R, SQL, or similar programming languages.
Experience with data visualization platforms such as Power BI or Tableau.
Strong understanding of statistical techniques and modeling approaches.
Foundational knowledge of AI/ML concepts and applications.
Experience working with relational and/or NoSQL databases.
Familiarity with cloud-based big data technologies.
Ability to explain complex technical findings to non-technical audiences.
Understanding of intelligence analysis processes and mission requirements.
Experience working with structured and unstructured datasets in complex environments.