Top Data Science Jobs in Manchester
Seeking a highly skilled Pension Data Scientist to develop and implement a digital analytical strategy for pension products, utilize data science, AI, Generative AI, machine learning, and big data techniques, lead a Data Science team, analyze user data, build predictive models, leverage big data technologies, and drive innovation in digital pension products.
The Data Science team at Moneyhub is responsible for generating value from various data sources and developing new commercial opportunities. The role involves working on machine learning models for transaction categorization and product development in a financial data setting.
Responsible for developing algorithms, data modeling, and creating new data processing techniques. Apply data mining techniques, do statistical analysis, and build high-quality prediction systems.
Join a team of inquisitive minds and supportive peers at Ascent, a digital transformation business specializing in data science, software development, and more. As a Senior Data Scientist, you'll work on data science practices, apply enterprise-grade standards, and focus on user experience and best data communication practices.
Seeking a talented Research Data Scientist to work on designing and building advanced demand forecasting models. The role involves applying machine learning, statistical, and econometric methods to various customer data science problems.
Join a dynamic team at Ascent specializing in data science and digital transformation. Responsibilities include applying best practices in data communication and user experience. Required skills include Python, Azure, NLP, and version control (git).
The Staff, Data Scientist at People.AI is responsible for identifying data sources, developing data strategies, assessing and validating models, visualizing data, understanding business context, and solving complex business issues through data-driven insights.
Senior Data Scientist role at RevenueCat to enable developers to make better decisions using unique data collected across the subscription ecosystem. Responsibilities include building predictive models, improving data pipelines, and contributing to data feature roadmap.
Looking for an experienced Lead Data Scientist to lead complex data science projects, translate technical concepts to non-technical language, and guide a team of data scientists on various client projects.
Seeking a Senior Data Scientist to join the data science team, responsible for advanced data modeling, innovative solution development, project leadership, cross-functional collaboration, and mentorship. Requires a Master's degree in a related field, expert proficiency in SQL, Python, and Spark, and a minimum of 5 years of experience in data science roles.
Sun Life is seeking a Data Scientist to join their team and empower individuals, families, and communities worldwide. The Data Scientist will work on innovative technology, financial services, and asset management solutions to support clients in achieving lifetime financial security and living healthier lives.
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.
Join Doccla’s agile data and analytics team as an experienced generalist, adept in a wide range of tasks from data engineering to business insights. Your expertise in data analytics, data science, and visualization will directly support key decision-making and strategy across the business.
Develop and deploy core ML algorithms, translate business requirements into data science use cases, apply statistical and ML modelling techniques, collaborate with teams, and present insights through dashboards.
Senior Data Scientist responsible for driving Modular Intelligence for Walmart through application of CV/AI capabilities, developing statistical and machine learning models, building ML pipelines, and communicating insights to business partners.
Exciting senior role in the Data department for an experienced Data Engineer to work on a modern Data platform, leading data transformation projects and providing thought leadership. Responsibilities include assembling data sets, building data infrastructure, maintaining Data Warehouse, and ensuring budget adherence. Ideal candidate has extensive data engineering experience, strong analytical skills, and knowledge of data technology and governance. Must have experience with Azure, ETL tools, and data warehousing design patterns. Desirable skills include geospatial data experience and knowledge of Azure Data & Delta Lake.
Seeking an experienced Analytics Engineer to develop and maintain scalable data models, optimize SQL-based transformation pipelines, collaborate with stakeholders, implement data quality checks, and mentor team members. Requires fluency in SQL, experience with data modeling tools like dbt, familiarity with BI tools, communication skills, and experience in a remote-first environment.
Design and implement data pipelines, develop data models, write ETL jobs, collaborate with stakeholders, and monitor data pipelines for a B2B sales platform.
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.
Join Spectrum.Life as a Data Engineer to support all aspects of data management and transformations for business requirements. Work collaboratively to gather requirements, develop reporting data landscape, handle data processing and cleansing, and maintain data processes documentation. Strong analytical skills and experience in healthcare industry are required. Full-time permanent contract with competitive salary and flexible work options.
Lead Data Engineer role at Superside, responsible for maintaining data pipelines, enhancing data operations, providing technical guidance, and staying up-to-date with data technology trends.
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.
Seeking a motivated Associate Team Lead to join the Data Engineering team at Remote. Responsibilities include overseeing and mentoring a group of engineers to deliver high-quality data products and solutions. Requires solid experience with data platform tooling, strong communication skills, and the ability to work independently.
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.
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