Peterborough, Cambridgeshire, England, United Kingdom
ITOL Recruit
Artificial Intelligence is used in every industry and as artificial intelligence requires data to operate there is now a massive growing demand for Data experts. If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future within Data Science. We use our specialised Data Science Career programme which looks to assist, train and place qualified candidates into a career pathway in Data Science. Our career program is designed for entry level individuals with limited or no experience. Please do not apply if you are already an experienced Data Analyst as we will be looking primarily at entry level roles. Demand for candidates who are experts in working with Data and AI has grown 20% year on year with salaries of £50k+. Business decisions rely on data to ensure correct business decisions are made and the role of the dataMore ❯
Cambridge, Cambridgeshire, United Kingdom Hybrid / WFH Options
Genie Ventures Ltd
Job Title:Data Analyst Company: Genie Ventures Ltd Department: Genie Shopping Network Location: Flexible - Distributed with use ofCambridge officeand occasional travel Working Hours: Full Time 37.5 hours per week with flexible working arrangements Salary Range: £36,500 - £39,500 pa About Us Genie Shopping is into its next growth phaseand being part of the TEAM team is … and team socials. There are requirements to travel to Cambridge once a month, with London (or other UK locations) once a month on average. Job Overview As a Data Analyst at Genie Shopping, you will play a crucial role in our continued growth and success within the performance marketing landscape. Genie Shopping is a leading European CSS … Genie Shopping team recognised as the "Best Team in Performance Marketing 2025" and "Great Places to Work 2024-25." In this role, you will analyse affiliate marketing data to track key commercial and performance metrics, verify data accuracy, and ensure this is reflected in our systems. Your responsibilities will include structuring reports, extracting More ❯
for their unique perspectives. We are all accountable for sustaining a diverse and inclusive environment. - What You Will Contribute To Altos We have an opportunity available for a Data Scientist to work in the field of cells, genomics and related areas. Responsibilities - Generate insights and models from multi-omics datasets (using public and internal data) to understand patterns, trends and relationships within data to inform decision-making and solve problems. Design, develops and programs methods, processes, and systems to extract, consolidate and analyze unstructured, diverse "big data" sources to generate actionable insights. Build databases and is responsible for the curation of Data, including … experimental data management. Extracting knowledge, insights and predictions from data using statistical methods, machine learning and data visualization. Work with scientists to identify optimal ways to prepare, annotate, store and navigate their datasets, including data application design and improvement. Define and document best practices for capturing and entering More ❯
industry goes through a machine learning revolution you can be here, leading the charge. You will work across the whole machine learning development lifecycle from initial concepts through data collection, cleaning and preparation to prototyping, testing and evaluation. With your models integrated with leading edge electronics, the final products are fully functional prototypes and demonstrator units manufactured More ❯
industry goes through a machine learning revolution you can be here, leading the charge. You will work across the whole machine learning development lifecycle from initial concepts through data collection, cleaning and preparation to prototyping, testing and evaluation. With your models integrated with leading edge electronics, the final products are fully functional prototypes and demonstrator units manufactured More ❯