A leading financial services organisation is seeking a Data Scientist to join its high-performing analytics team. This role is ideal for an individual who enjoys uncovering insights from complex datasets, building predictive models, and leveraging advanced analytical techniques to solve real-world business challenges. The successful candidate will be responsible for transforming data into actionable insights, developing machine learning solutions, and partnering with business stakeholders to improve performance, customer outcomes, and operational efficiency. You will work on projects from concept through implementation while contributing to innovation and continuous improvement initiatives. This is an exciting opportunity for someone who wants to work with modern analytics technologies, explore emerging AI capabilities, and make a measurable impact through data-driven decision-making. Key Responsibilities Develop predictive, descriptive, and behavioural models to support business performance and strategic objectives. Apply machine learning and advanced analytics techniques to identify trends, opportunities, and risks. Conduct complex statistical analysis and data exploration activities. Translate analytical findings into actionable business recommendations. Design and implement end-to-end data science and analytics projects. Prepare and present insights and reports to senior stakeholders. Automate reporting and analytics processes where appropriate. Collaborate with business and technical teams to gather and define requirements. Support stakeholder engagement and project delivery activities. Ensure data accuracy, quality, and compliance with organisational standards. Contribute to continuous improvement and analytics innovation initiatives. Job Experience and Skills Required Degree in Information Technology, Informatics, Data Science, Statistics, Applied Mathematics, Quantitative Sciences, Actuarial Sciences, Economics, Engineering, or a related field. Honours, Master's Degree, or PhD will be highly advantageous. 4 to 5 years of experience within Data Science, Analytics, Machine Learning, or a similar environment. Strong experience applying advanced statistical and predictive modelling techniques. Proven track record of delivering data-driven insights and business recommendations. Experience managing analytics projects from inception through delivery. Exposure to financial services, insurance, or highly regulated industries will be advantageous. SAS. Python. R. Databricks. Machine Learning and Predictive Analytics. Statistical Modelling. Data Mining and Data Exploration. Artificial Intelligence and Large Language Models. Reporting and Data Visualisation. Data Management and Data Quality Principles. Strong analytical and problem-solving abilities. Excellent communication and presentation skills. Ability to convert complex analytical findings into business-friendly recommendations. Strong stakeholder management capabilities. Ability to work independently and collaboratively within teams. Curiosity and passion for emerging technologies and AI. Strong attention to detail and commitment to quality. Ability to manage multiple projects and priorities effectively. Apply Now! For more exciting IT vacancies, visit: /> We also specialise in recruiting for: Software Developers (Back-End, Front-End, Full Stack) Mobile Developers Business & Systems Analysts BI & SQL Experts UI/UX Professionals Data Scientists & Data Analysts Big Data Professionals Cloud Experts Infrastructure Specialists DevOps & SecOps Engineers Cybersecurity Specialists SEO / Digital Designers If you have not received feedback within two weeks, please consider your application unsuccessful. Your profile will remain in our database for future opportunities. For more information, contact: Caitlin Ferley Recruitment Consultant LinkedIn: