4 of 4 Contract Data Science Jobs in the North West

Developer Location: Manchester Duration: 4 Days a Week Job Type: Permanent/FTE As a Snowflake Developer, you'll be a key player in designing, developing, and maintaining our data solutions. You'll work with cutting-edge technologies, leveraging your expertise in Snowflake to build robust and scalable data pipelines and architectures. This role is perfect for someone … ANSI-SQL: Possess a deep understanding of Snowflake's architecture and internals, including roles, dynamic tables, streams, and tasks. You'll need excellent skills in writing complex SQL queries. Data Modeling: Extensive working knowledge of various data models, including Dimensional Data Model , ER Data Model , and Data Vault . Cloud Computing: Strong foundational knowledge of … cloud computing principles. Data Expertise: Significant experience in data-related projects and applications, including a good understanding of data management and data governance . Programming & Tools: Good working knowledge of Python and GitLab . Stakeholder Management: Proven experience in managing product owners and stakeholders. Soft Skills: A great team player with a positive attitude, proactive mindset More ❯

Architect to shape the technology strategy and architecture that underpins creditworthiness assessment and lending decisions. This role is critical to developing intelligent, automated credit decisioning platforms that bring together data, analytics, regulatory compliance, and enterprise architecture. You will design the overall lending decision architecture, working closely with risk teams, data scientists, and senior stakeholders to build systems that … efficient, fair, and compliant lending outcomes. Key Responsibilities . Architect end-to-end credit risk decisioning and affordability systems . Design and implement decision engines, integrating internal and external data sources . Translate credit policy and business objectives into technical requirements and rule frameworks . Partner with data science teams to integrate statistical and machine learning models … a subject-matter expert across risk, technology, and senior leadership teams Required Skills & Experience . Deep expertise in decision engine platforms - eg FICO Blaze, Pega, or similar . Strong data analytics and programming capability (Python, R, SAS) . Proficient in enterprise system integration and data warehousing environments . Understanding of cloud platforms (AWS, Azure, GCP) for scalable decisioning More ❯

per day IR35: Outside Location: Fully Remote (occasional ad-hoc travel to office) The Role: A leading Regulatory Tech company is seeking a Contract Machine Learning Engineer/Data Scientist to support the development of next-generation AI solutions.This is an exciting opportunity to play a key role in designing and training Large Language Models (LLMs) from the ground … to contribute to the creation of an intelligent AI-powered chatbot that transforms the way information and insights are delivered.You'll work closely with the client's in-house data and engineering teams to design, train, and fine-tune transformer-based models for complex natural language processing tasks, ensuring accuracy, efficiency, and scalability. Experience Requirements: Proven experience in Natural … Language Models (LLMs), including training LLMs from scratch. Strong understanding of deep learning principles and experience working with transformer-based architectures (e.g., GPT, BERT, T5). Solid background in data science and machine learning, including model development, training, evaluation, and deployment. Experience building and deploying chatbots or conversational AI systems. Knowledge of MLOps tools and pipelines for model More ❯

the technology strategy and systems used to assess the creditworthiness and financial capacity of loan applicants. This role focuses on building the overall architecture for the lending process, combining data, advanced analytics, and regulatory knowledge to create automated, efficient, and compliant decision-making platforms. Responsibilities Architecting decision platforms: Design, build, and implement the technical architecture for end-to-end … credit risk decisioning and affordability solutions. This includes integrating various data sources (internal and external), analytical models, and rule-based engines. Developing credit strategy: Translate business objectives and credit policy into technical requirements and system rules. This includes defining risk appetite, decision flows, and the criteria for approving, denying, or referring credit applications. Overseeing model development: Work closely with … data scientists and credit risk model developers to integrate statistical and machine learning models into the decisioning architecture. This includes models for credit scoring, loss forecasting, and affordability assessments. Ensuring regulatory compliance: Incorporate all relevant regulatory requirements (eg, responsible lending obligations) into the decisioning framework. The architect must ensure the system provides a robust audit trail for all lending More ❯