Data Scientist in Essex

b Overview /b p In this role you turn complex data into actionable insights to influence strategic and operational decisions. You will build predictive models, work with large, diverse datasets, and deliver dashboards and automated reports that empower cross-functional teams. You’ll collaborate with product, operations, technology, and business units to deploy data-driven solutions and ensure governance and reproducibility. This opportunity supports impactful work across Leonardo’s analytics landscape, with hybrid working and strong learning benefits. /p b Pay / Benefits /b ul li 12 flexi-days per year /li li 15% employer pension contribution /li li mental health support /li li free access to 4,000+ online courses /li li referral programme /li li flexible benefits up to 500 /li /ul b Responsibilities /b ul li Develop and implement predictive models and machine learning algorithms to support strategic and operational decision-making /li li Analyze large volumes of structured and unstructured data to identify trends, risks, and opportunities /li li Validate, monitor, and optimise analytical models to ensure accuracy, reliability, and business value /li li Collaborate with stakeholders across product, operations, technology, and business functions to shape and deliver data-driven solutions /li li Design, build, and maintain interactive dashboards and automated reporting solutions /li li Extract, transform, and integrate data from multiple sources while ensuring data quality and integrity /li li Translate business challenges into analytical approaches, selecting methodologies, tools, and techniques /li li Deliver descriptive, diagnostic, and predictive analysis to support management and business decision-making /li li Apply data science and analytics best practices, including documentation, governance, and reproducibility /li /ul b Key requirements /b ul li Strong experience using SQL and business intelligence platforms such as Power BI, Tableau, or Qlik /li li Proficiency in Python or R for data analysis, statistical modelling, and predictive analytics /li li Experience developing, deploying, validating, and maintaining predictive models and machine learning solutions /li li Strong understanding of ETL processes, data integration, and data quality management /li li Experience working with large, complex structured and unstructured datasets /li li Knowledge of statistical analysis techniques and their application to real-world business problems /li li Understanding of data architecture principles and the processes required to support effective data delivery and reporting /li li Proven ability to translate business requirements into analytical solutions and actionable insights /li li Experience creating dashboards, self-service reporting, and visualisations that support decision-making /li li Desirable: data governance, model management, and analytics best practices /li li Professional certifications in data management, analytics, business intelligence, or related disciplines /li /ul ul li Collaborative cross-functional communication /li li Analytical mindset with problem-solving focus /li li Strong stakeholder management and ability to translate business needs into analytics /li li SQL /li li Power BI /li li Tableau /li /ul