Top Data Science Jobs in Manchester
As a Data Scientist at EDB in Germany, you will analyze complex data sets to uncover insights, support data-driven decision-making, and develop innovative data solutions. Collaborate with cross-functional teams to apply statistical and machine learning techniques for real-world problems.
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.
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.
Senior Data Scientist role at Sentium Consulting focusing on building machine learning models, translating business needs into requirements, implementing data analytics solutions, and staying updated on data science technologies.
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.
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).
Seeking a motivated Data Scientist with 2+ years of experience in data science and machine learning. Must have strong Python skills and experience with end-to-end solutions using diverse technologies. Collaborative mindset and problem-solving skills are essential.
The Middle Data Scientist at Social Discovery Group will analyze chatbot behavior, process text datasets, and analyze ML solutions from a business metrics perspective. Experience with Python, NLP, Numpy, Sklearn, SQL, Statistics, and Data visualization is required.
Seeking a Senior Data Scientist to drive Auto Trader's transformation into a data science-driven organization. Responsibilities include leading Data Science direction, developing ML-centric data products, collaborating with cross-functional teams, and fostering a culture of shared insights. Requires expertise in ML frameworks, algorithms, statistical methods, Python, and SQL.
Design, implement, and maintain scalable data pipelines, ensure data quality, optimize data processing performance, develop data models and ETL processes, ensure data security and compliance, identify and resolve data issues, stay updated on data engineering trends, mentor junior team members.
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.
Derive valuable insights from large volumes of data relating to power delivery, market performance, and renewable technologies. Collaborate on developing novel algorithms for managing energy assets and contribute to the design of virtual-power-plant modelling and optimisation framework. Disseminate insights across the organization and help define data science best practices. Collaborate with colleagues from various backgrounds to create innovative solutions.
Join a dynamic team at Ascent as a Senior Data Scientist, working on complex Shiny solutions and supporting end-to-end pipelines. Become a trusted consultant for customers, advise on technical solutions, and drive innovation in solution design. Utilize R programming skills and advanced Shiny development knowledge to deliver successful projects.
Join Ascent as a Data Scientist and contribute to solving business problems through data analysis and software development. Work on implementing complex Shiny solutions, advising customers on technical solutions, and advocating for DevOps skills. Experience a vibrant office community and collaborate with diverse industry clients.
Join our innovative team as a Sr. Data Scientist and work on cutting-edge AI/ML applications in industries like fleet & EV, Health Benefits, and Corporate Payments. Lead AI/ML model development, collaborate with cross-functional teams, drive rapid prototyping, and mentor junior data scientists. PhD or Master's in computer science or related field with 5+ years of experience required.
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.
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.
Looking for a talented Data Scientist with experience in Financial crime and Anti-money laundering to develop Machine Learning solutions in a fast-paced environment at a leading digital bank.
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.
As a Data Scientist with Compliance expertise, you will analyze unstructured communications data for regulatory compliance and risk mitigation. This role involves generating insights, performing data analysis, assisting in data annotation, and collaborating with stakeholders. Required qualifications include a Bachelor's degree in a relevant field, 2+ years of data analytics experience, knowledge of financial regulations, and proficiency in Git, Linux/Unix, and IDEs. Preferred qualifications include a Master's degree and familiarity with cloud computing platforms. The company, Smarsh, values collaboration, innovation, and diversity in its culture.
Seeking a skilled Data Analytics Engineer to integrate data analysis with engineering while navigating complex analytical challenges. Responsibilities include collaborating with teams, maintaining data models, ensuring data quality, and providing technical support to stakeholders.
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.
Bring your data analytics and data mining skills to a unique team seeking to understand and shape the future of marketing technology. Responsibilities include utilizing advanced data analytics, collaborating with stakeholder teams, designing and conducting experiments with data, and maintaining systems for data access.
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.
Top Manchester Companies Hiring Data Scientists
See All.png)
All Filters
No Results
No Results
