2 of 2 Contract Data Science Jobs in Warwickshire

Role Purpose:To lead data science projects from initial problem statement, through to data exploration, transformation, and the application of enhanced analytics to our existing business processes. In addition, support the Commercial team in transforming the capabilities of data analytics, data engineering and data science. Being a part of the central data team … as a dedicated resource to the commercial team, you will drive a new data culture, best working practice, and advanced data methodologies to build, improve and automate solutions to drive commercial excellence in decision-making. Accountabilities Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from … managers across Pricing, Sales, and Ecommerce, to develop long-term strategic growth initiatives, and be a critical team member on project implementation. Apply knowledge of statistics, machine learning, programming, data modelling, simulation, and advanced mathematics to recognise patterns, identify opportunities, pose business questions, and make valuable discoveries, leading to prototype development and product improvement. End-to-end implementation of More ❯

Job Advertisement: Data Governance Lead Contract: 6 Months Location: Warwick (1 day per week onsite) Pay Rate: £550 - £600 per day Are you a data enthusiast with a passion for governance and compliance? Do you thrive in collaborative environments and enjoy building robust processes? If so, we have an exciting opportunity for you! Join our client, a forward … thinking organisation committed to creating a cleaner, more sustainable energy future for Great Britain. As a Data Governance Lead, you will play a pivotal role in shaping data governance practices that align with regulatory requirements and organisational goals. Key Responsibilities: Data Integrity: Ensure alignment with data governance policies, maintaining high standards of data quality and … compliance. Collaboration: Work closely with stakeholders to define data ownership and stewardship across the organisation. Assessment: Monitor and assess data management practices, identifying improvement areas and recommending best practices. Quality Checks: Conduct data quality assessments and audits to ensure accuracy and reliability for informed decision-making. Resource Creation: Develop channels and content on data governance principles More ❯