1 to 3 of 3 Permanent Data Cleansing Jobs in Cambridgeshire

Please note: you need to have the right to work in the UK no sponsorship, unfortunately About the job Reporting to the Senior Data & Analytics Lead, the BI Developer will be responsible for driving the direction and maintaining the business data model ensuring it … aligns with business activities and processes. The role will work closely with key internal and external stakeholders in organising and creating a data model that makes data and information accessible with appropriate channels of access controls. Fostering a relationship of trust and playing an … PowerBI Identifying and integrating external data into the business data model Implementing data validation and cleansing procedures will ensure the quality, integrity, and dependability of the data. Improve the scalability, efficiency, and cost-effectiveness of data pipelines. more »

inheriting existing infrastructure and collaborating with ongoing bioinformatic contractors. The role will primarily be research-focused, including hands-on analysis of all omic data produced by clock.bio, and contextualising it with respect to datasets from external studies. In addition to research, the role will also include data … business. Responsibilities The candidate will lead the bioinformatic endeavours of clock.bio, acting as the "in house" bioinformatic thought leader. Analyse high dimension NGS data including both bulk and single-cell RNA-seq and ATAC-seq data from pooled CRISPR screens. Provide input to the … computational biology strategy and take responsibility for its day-to-day execution working with cross-functional partners and leadership teams. Build data collection, data annotation, and data cleaning workflows, and compile datasets for specific projects and downstream in-depth data more »

develop systems that apply ML to a broad range of tasks. The projects will test your broad exposure to the ML development cycle: data I/O, cleaning and preparation, rapid code prototyping, iterating model designs and deploying and packaging code into brand new products. This role … architectures, deep learning techniques, and building and training deep learning models. Creating and handling large datasets including pre-processing steps and familiarity with data manipulation libraries like Pandas, NumPy, and data visualization tools such as Matplotlib or Seaborn. Hands-on experience of building ML more »