Top Data Science Jobs in Manchester

Join Remote as a Senior Analytics Engineer to support decision making and reporting needs by translating data into actionable insights for non-data professionals. Work with a remote team using SQL, dbt, Python, and other tools to provide clean and reliable data.

Design and implement data pipelines, develop data models, write ETL jobs, collaborate with stakeholders, and monitor data pipelines for a B2B sales platform.

Seeking an enthusiastic Entry-Level Data Engineer with a focus on AI to assist in designing, building, and maintaining data infrastructure that supports artificial intelligence and machine learning initiatives. Responsibilities include data pipeline development, data integration, AI & ML support, data monitoring, and troubleshooting. Preferred skills include practical knowledge of programming languages, SQL, AI frameworks, big data technologies, cloud platforms, data modeling, and strong analytical skills.

The Data Scientist will work on prediction models, anomaly detection, user segmentation, A/B experiments, reporting automation, and collaboration with various teams. Requires 3+ years of experience, strong statistical and machine learning knowledge, fluency in SQL and Python, and a degree in a quantitative field.

Seeking a Senior Analytics Engineer to optimize data models, improve usability of data, and increase impact for the Experimentation Team at Viator. Responsibilities include executing strategic projects, making tactical improvements to data infrastructure, and communicating with stakeholders. Key requirements include Bachelor's Degree, 5+ years in analytical roles, advanced SQL skills, and ability to communicate effectively across functions.

As a Data Engineer at Walmart, you will be responsible for developing and maintaining data pipelines to support data science initiatives. You will work with a mammoth scale of data to create valuable data assets for retail analytics. Collaboration with Data Scientists, Analysts, and business stakeholders to solve complex challenges is crucial for evolving the retail business model.

As an Analytics Engineer at Bupa, you will work on innovative projects to make a real impact on the lives of colleagues, customers, patients, and residents. Your role involves drawing on technical expertise to develop MI and insight analysis, identifying opportunities for improvement, and delivering data sets and insights. You will collaborate with cross-functional teams, maintain data integrity, and act as a subject matter expert in Contact Centres and technology. Coaching and communication skills are essential for effectively gathering technical requirements and sharing knowledge across the business.

Seeking a Senior Analytics Engineer to lead the transformation layer of a data platform at a fast-growing fintech company. Responsibilities include developing scalable patterns, ensuring data discoverability, and collaborating with various teams. Must have 3+ years of experience in data engineering or analytics, expertise in SQL and Python, and strong relational database skills.

Starling, a leading digital bank, is looking for an Analytics Engineer (Credit) to translate data requirements into robust and reusable data models focused on credit regulatory submissions. Responsibilities include maintaining documentation, collaborating with the data team, and owning projects end-to-end. Strong SQL and Looker experience are required.

Join Roku as a Senior Data Scientist in the Core Analytics Team supporting Mobile product. Analyze user behavior on mobile apps, develop data pipelines, collaborate with stakeholders, and drive insights for the mobile platform. Work in a fast-paced environment to optimize the mobile ecosystem for Roku.

Seeking a Senior Data Engineer with 5+ years of experience in data engineering. Responsibilities include working with fast-paced companies on data transformation using Google Cloud, ETL/ELT, data warehousing, distributed data processing, and streaming data systems. Skills required include Python, JVM language, SQL, cloud data warehouses, GCP tools, and experience with various data engineering tools and practices.

Seeking a Data Engineer to design, develop, and maintain data solutions for analytics and business purposes. Responsibilities include data integration, processing, retrieval, and transformation to enable valuable insights for decision-making. The role requires collaboration with cross-functional teams to enhance data solutions leveraging modern tech stack.

Seeking a talented Data Engineer to develop and maintain the data architecture of a fintech platform. Responsibilities include data integration, data modelling, and optimizing data pipelines. Requires strong problem-solving skills and collaboration with cross-functional teams.