Birmingham, Staffordshire, United Kingdom Hybrid / WFH Options
Stott and May
Data Scientist Location: Birmingham/Sheffield (Hybrid 1-2 days) Contract: Until 28/11/2025 Day Rate: £488 (Inside IR35) Start Date: ASAP About the Role We are seeking a highly skilled Data Scientist to join our team on a contract basis. The successful candidate will play a key role in extracting insights from … large and complex datasets, developing predictive models, and applying advanced analytics to solve real business challenges. This is an excellent opportunity for a data professional who thrives in dynamic environments and is eager to deliver measurable impact through innovative data-driven solutions. Key Responsibilities Pre-process structured and unstructured data to ensure quality and … usability. Enhance data collection methods to capture all relevant information for analytical systems. Cleanse, process, and validate datasets to maintain integrity and accuracy. Analyse large volumes of information to identify patterns, trends, and actionable insights. Design and implement predictive models and machine learning algorithms. Present results and recommendations clearly to technical and non-technical stakeholders. Propose strategies and More ❯
implement, and manage fraud detection tools and capabilities. Strong analytical skills with the ability to enrich, transform, and interpret large structured and unstructured datasets, including internal intelligence, external data sources, and fraud typologies. Solid understanding of cyber fraud attack vectors targeting the financial sector, including device and behavioural manipulation, location spoofing, identity fraud, and account takeover. Some other … highly valued skills may include: Escalate identified risks which may result in unacceptable fraud controls and losses, utilising data visualisation. Supervisory and mentorship experience, delegating responsibilities within financial services. Experience working with an industry leading digital identity, device, and behavioural profiling technology. Partner closely with governance and control teams to ensure proper documentation, risk ratings and controls in … place for all rule and model executions. Perform data analysis to identify areas of potential fraud risk and/or potential opportunity to improve fraud policies, strategies, controls and customer experience through SAS/SQL/Big data programming and statistical computing. You may be assessed on the key critical skills relevant for success in role More ❯
implement, and manage fraud detection tools and capabilities. Strong analytical skills with the ability to enrich, transform, and interpret large structured and unstructured datasets, including internal intelligence, external data sources, and fraud typologies. Solid understanding of cyber fraud attack vectors targeting the financial sector, including device and behavioural manipulation, location spoofing, identity fraud, and account takeover. Some other … highly valued skills may include: Escalate identified risks which may result in unacceptable fraud controls and losses, utilising data visualisation. Supervisory and mentorship experience, delegating responsibilities within financial services. Experience working with an industry leading digital identity, device, and behavioural profiling technology. Partner closely with governance and control teams to ensure proper documentation, risk ratings and controls in … place for all rule and model executions. Perform data analysis to identify areas of potential fraud risk and/or potential opportunity to improve fraud policies, strategies, controls and customer experience through SAS/SQL/Big data programming and statistical computing. You may be assessed on the key critical skills relevant for success in role More ❯
