3 data scientist jobs found

My client based just outside Manchester are looking for 2 x Python Developers with good SQL skills. 6 month contract, immediate starts, Outside IR35, 2 days a week in office. Key requirements * 3+ years of Python in production environments * Strong AWS experience across core services * Strong SQL skills for querying, transformation, and optimisation * Experience with Apache Spark or serverless architectures Core responsibilities and skills * Build and maintain real-time and batch ETL pipelines using Python on large, complex datasets * Write clean, scalable Python code for data ingestion, transformation, and processing * Design and optimise SQL queries for performance, cost, and reliability across large data volumes * Model and transform data into well-structured, reusable datasets for downstream use * Work with distributed data processing tools such as Apache Spark to handle high-volume workloads * Improve existing pipelines by identifying...

This is a fantastic opportunity to work as a contract Bioinformatician on an Outside IR35 contract,  for a major pharmaceutical company. It's important to note that this Bioinformatician role will require a minimum of 3 days per week on site in central Cambridge. The key experience required for this Bioinformatician position is: CRISPR Data pipelines Python or R Support lab scientists If you do have the relevant skills for this Bioinformatician Engineer contract position, please do apply

Overview We are looking for a skilled Data Engineer with strong experience in Snowflake to join our growing data team. You will be responsible for designing, building, and maintaining scalable data pipelines and architectures that support analytics, reporting, and data-driven decision-making across the organization. * 6 months initial contract (OUTSIDE IR35) * Remote with occasional travel into London (1 day per month) Key Responsibilities * Design, develop, and maintain robust data pipelines and ETL/ELT processes * Build and optimize data models within Snowflake for performance and scalability * Ingest data from various sources (APIs, databases, streaming platforms, etc.) * Ensure data quality, integrity, and governance across systems * Collaborate with data analysts, scientists, and business stakeholders to deliver data solutions * Monitor and troubleshoot data workflows and pipeline performance * Implement best practices for data security, privacy,...