ZELP ltd

Financial Planning and Analysis

• Produce financial statements, ensuring accuracy and compliance
• Ensure compliance with financial regulations, tax laws, and internal policies
• Implement and improve financial processes and internal controls
• Oversee and optimize the company's R&D tax credit claims in the UK
• Coordinate external audits and any financial due diligence processes
• Own all aspects of financial planning, including budgeting, forecasting, and long-term financial modeling
• Monitor financial performance and provide data-driven insights
• Conduct financial analyses to support business growth and efficiency improvements
• Support the CFO in developing funding strategies and executing fundraising activities
• Develop financial models to provide insights and support executive decision making processes
• Partner with the CEO on key strategic initiatives
• Present financial reports and strategic recommendations to key stakeholders
• Monitor expenses, identify and drive cost-efficiency initiatives

Senior Finance Analyst

Mechanical Engineer

• Concepting and ideation
• Supporting key design decision making alongside other senior and lead engineers
• Providing quality drawings and CAD for prototyping and fabrication of parts
• Hands-on prototyping and building of test samples
• Producing and maintaining thorough and accurate design project documentation
• Preparing, testing, and monitoring the progress of trials so that all failures to meet requirements are corrected in a timely manner and communicated effectively to the team
• Implementing design changes that are evaluated for feasibility, cost, and timing and implemented with care and thoroughness
• Supporting other departments (Hardware, Software, Animal Science) with problem-solving and other project activities

Senior Design Engineer

Senior Mechanical Engineer

Data Scientist

• Collaborate with stakeholders to identify and understand business needs, translating them into data-driven solutions.
• Design, implement, and maintain robust data pipelines for collecting, cleaning, transforming, and analysing large datasets.
• Perform exploratory data analysis (EDA) to uncover trends and patterns.
• Develop and apply advanced statistical and machine learning models to solve business problems, including forecasting, segmentation, optimization, and predictive modeling.
• Conduct rigorous data analysis, interpret results, and communicate findings to technical and non-technical audiences in a clear and compelling manner.
• Develop and maintain interactive dashboards and visualizations to effectively present data insights and support decision-making.
• Stay abreast of emerging technologies and industry best practices in data science, continuously exploring opportunities for innovation and improvement.
• Contribute to the development of a data-driven culture within the organization, promoting the value of data-informed decision-making.