76 to 100 of 106 Contract Data Science Jobs

ChatGPT, Claude, and Perplexity to enhance prompt performance and relevance. Support the design and implementation of AI-powered chatbots within DealCloud to improve user interaction and automation. Collaborate with data engineers and visualisation specialists to embed AI-driven insights into dashboards and business workflows. Continuously monitor and improve prompt effectiveness, ensuring contextual accuracy and user satisfaction. Maintain clear documentation … translate business requirements into prompt strategies and AI-driven solutions. Familiarity with Capsa and Filament Sifter platforms is a strong plus. Ability to work cross-functionally with product managers, data scientists, and business stakeholders. Strong documentation skills for prompt libraries, use cases, and performance metrics. Experience collaborating with external AI vendors and managing technical partnerships. Understanding of ethical AI … principles, bias mitigation, and responsible AI deployment. Familiarity with data privacy regulations (e.g., GDPR, HIPAA) and secure data handling practises. Excellent communication and documentation skills. Strong analytical and problem-solving skills. Ability to work independently. More ❯

directorate of the Deputy Chief Executive Office. The mission of the PTT Sub-directorate is to enable NHS England to drive innovation and improve lives through greater use of data and technology and to be a well-run organisation. The PTT Sub-directorate will enable and promote public trust in NHS England's custodianship of staff, workforce and patient … work supports the NHS to deliver high quality services for patients and best value for taxpayers. Our staff bring expertise across hundreds of specialisms -- including clinical, operational, commissioning, technology, data science, cyber security, software engineering, education, and commercial -- enabling us to design and deliver high-quality NHS services. We lead the NHS in England by: Enabling local systems … centre that reduces duplication and eliminates waste. If successful at interview, we will initiate an Inter Authority Transfer (IAT) via the Electronic Staff Record (ESR). This retrieves key data from your current or previous NHS employer to support onboarding, including competency status, Continuous Service Dates (CSD), and annual leave entitlement. You may opt out at any stage of More ❯

work supports the NHS to deliver high quality services for patients and best value for taxpayers. Our staff bring expertise across hundreds of specialisms -- including clinical, operational, commissioning, technology, data science, cyber security, software engineering, education, and commercial -- enabling us to design and deliver high-quality NHS services. We lead the NHS in England by: Enabling local systems … centre that reduces duplication and eliminates waste. If successful at interview, we will initiate an Inter Authority Transfer (IAT) via the Electronic Staff Record (ESR). This retrieves key data from your current or previous NHS employer to support onboarding, including competency status, Continuous Service Dates (CSD), and annual leave entitlement. You may opt out at any stage of More ❯

work supports the NHS to deliver high quality services for patients and best value for taxpayers. Our staff bring expertise across hundreds of specialisms -- including clinical, operational, commissioning, technology, data science, cyber security, software engineering, education, and commercial -- enabling us to design and deliver high-quality NHS services. We lead the NHS in England by: Enabling local systems … centre that reduces duplication and eliminates waste. If successful at interview, we will initiate an Inter Authority Transfer (IAT) via the Electronic Staff Record (ESR). This retrieves key data from your current or previous NHS employer to support onboarding, including competency status, Continuous Service Dates (CSD), and annual leave entitlement. You may opt out at any stage of More ❯

Azure, and the second around Copilot. Key Criteria: Proven extensive experience developing AI solutions on Microsoft Azure AI Foundry, Microsoft Azure ML Studio or using Copilot . Understanding of data science concepts, AI/ML models, automation workflows, and agentic orchestration to enhance business processes. Experience designing and deploying Agentic AI solutions leveraging orchestration, pipelines, and observability on More ❯

work supports the NHS to deliver high quality services for patients and best value for taxpayers. Our staff bring expertise across hundreds of specialisms -- including clinical, operational, commissioning, technology, data science, cyber security, software engineering, education, and commercial -- enabling us to design and deliver high-quality NHS services. We lead the NHS in England by: Enabling local systems … centre that reduces duplication and eliminates waste. If successful at interview, we will initiate an Inter Authority Transfer (IAT) via the Electronic Staff Record (ESR). This retrieves key data from your current or previous NHS employer to support onboarding, including competency status, Continuous Service Dates (CSD), and annual leave entitlement. You may opt out at any stage of More ❯

Job Title: Data Scientist (Contract) Location: London - Hybrid (occasional travel to the London office) Duration: 6 months Start Date: ASAP 2025 Overview An opportunity has arisen for an experienced Data Scientist to join a leading Data and AI Team , supporting digital transformation projects across Tax and Legal. This role involves designing and developing Generative AI and Machine … Learning (ML) solutions using Python and Microsoft Azure . You'll work with cross-functional teams to build intelligent, data-driven applications that solve complex business challenges and deliver measurable impact. Key Responsibilities Design, build, and deploy Python-based AI and ML applications . Research and develop new Generative AI techniques, including fine-tuning and prompt engineering. Develop and … maintain LLM-assisted frameworks and automation pipelines. Write clean, maintainable, and well-documented code for scalable deployment. Build and implement testing and evaluation frameworks for AI models. Collaborate with data scientists, software engineers, and subject-matter experts to deliver innovative solutions. Essential Skills & Experience Advanced Python programming skills with hands-on experience using NumPy, Pandas, Scikit-learn, Langchain, LlamaIndex More ❯

work supports the NHS to deliver high quality services for patients and best value for taxpayers. Our staff bring expertise across hundreds of specialisms -- including clinical, operational, commissioning, technology, data science, cyber security, software engineering, education, and commercial -- enabling us to design and deliver high-quality NHS services. We lead the NHS in England by: Enabling local systems … centre that reduces duplication and eliminates waste. If successful at interview, we will initiate an Inter Authority Transfer (IAT) via the Electronic Staff Record (ESR). This retrieves key data from your current or previous NHS employer to support onboarding, including competency status, Continuous Service Dates (CSD), and annual leave entitlement. You may opt out at any stage of More ❯

work supports the NHS to deliver high quality services for patients and best value for taxpayers. Our staff bring expertise across hundreds of specialisms -- including clinical, operational, commissioning, technology, data science, cyber security, software engineering, education, and commercial -- enabling us to design and deliver high-quality NHS services. We lead the NHS in England by: Enabling local systems … centre that reduces duplication and eliminates waste. If successful at interview, we will initiate an Inter Authority Transfer (IAT) via the Electronic Staff Record (ESR). This retrieves key data from your current or previous NHS employer to support onboarding, including competency status, Continuous Service Dates (CSD), and annual leave entitlement. You may opt out at any stage of More ❯

NLP/GenAI Data Scientist (3 - 6 months)Python coding & NLP and LLMs experience is EssentialLocation: 3 days onsite - do not apply if needing fully remote)Certain Advantage are recruiting on behalf of our global energies client for an NLP/GenAI Data Scientist who can bring a strong understanding in modern NLP, LLMs, transformer architectures, prompt-engineering … to offer strong knowledge of Python programming for developing and debugging AI models and would expect suitable candidates to be educated to a Degree if not Masters level (computer science, electrical engineering, or a related technical subject) though you’ll still be considered without an MSc. Background Generative AI (GenAI) is seen as having the potential to revolutionise our … operations across all major lines of business. Applications may include conversational AI, intelligent information retrieval, AI-assisted system design, intelligent plant monitoring, and autonomous exploratory systems.We’re seeking a Data Scientist with good hands on python skills and a focus on Natural Language Processing (NLP) to contribute to innovative R&D efforts within the GenAI/NLP team. This 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 ❯

Job Title: Machine Learning Engineer (Data/ML) Location: London/Hybrid - Once a week (Thursday) in London Duration: 6 Months Day Rate: £500 per day overall assignment rate to umbrella. This is a greenfield based project with crossover from another tech team conducting a similar model. You will collaborate with the Data Scientist, Data Architect, and … cross-functional Tech Teams , supporting the build phase while contributing hands-on technical expertise. Key Responsibilities: Work with the Senior Engineer/Tech Lead to implement and optimise data pipelines and ML models. Develop high-quality, maintainable code in Python and PySpark. Use SQL and Jupyter to analyse, transform and validate data for ML use cases. Operate in … and technical teams to deliver solutions that support business growth. Skills & Experience Required: Strong hands-on experience in Python, PySpark, SQL, Jupyter . Experience in Machine Learning engineering or data-focused development. Exposure to working in cloud platforms (AWS/Azure) . Ability to collaborate effectively with senior engineers, data scientists, and architects. Proactive, detail-oriented, and eager More ❯

Job Title: Data Scientist Location: London Salary/Rate: Up to £620 per day inside IR35 Start Date: 10/11/2025 Job Type: Contract Company Introduction We are looking for a Data Scientist to join our Data and AI Team supporting internal service delivery transformation projects across Tax and Legal. You will be a Python … and Azure expert in designing and building cutting-edge generative AI solutions for complex challenges. You will report to the Technical Lead and collaborate with data scientists, software engineers and market specialists across the team to build and deliver high-impact solutions Job Responsibilities/Objectives Build and deploy Python based AI applications Research and design advanced experiments and … well documented codebases Implement testing pipelines and evaluation frameworks Good documentation practices to ensure seamless operations Exceptional teamwork and communication skills working in a cross functional environment with other data scientists, software engineers and T&L domain experts Required Skills/Experience The ideal candidate will have the following: Be an expert Python programmer proficient in frameworks/libraries More ❯

the technology strategy and systems used to assess the creditworthiness and financial capacity of loan applicants. This role focuses on shaping the overall architecture for the lending process-combining data, advanced analytics, and regulatory knowledge to deliver automated, efficient, and compliant decision-making platforms. Key Responsibilities Architect decision platforms : Design, build, and implement technical architecture for end-to-end … credit risk decisioning and affordability solutions. This includes integrating internal and external data sources, analytical models, and rule-based engines. Develop credit strategy : Translate business objectives and credit policy into technical requirements and system rules, defining risk appetite, decision flows, and application approval criteria. Oversee model integration : Work with data scientists and model developers to embed statistical and … technical audiences. Required Skills & Qualifications Technical Skills Extensive experience with decision engine platforms (eg, FICO Blaze Advisor, Pega, or other predictive/rule-based tools). Expert knowledge of data analysis tools and programming languages (Python, R, SAS), plus proficiency with databases and data warehousing. Strong background in enterprise-level system architecture, including integration of decisioning engines with More ❯

2x Data Scientist £475 - £500 outside IR35 p/d 6 months initial - likely to extend Once a week into London SR2 are supporting a major cross-government digital initiative focused on transforming how citizens interact with government services through AI. The team is developing an intelligent tool that understands when a user requires human assistance and seamlessly connects … conversational systems, and government service delivery , and aims to reduce the knowledge burden on users by creating a single, intelligent entry point for government support. The Role As a Data Scientist , you’ll play a pivotal role in designing, experimenting, and validating new AI models that enhance the performance and human-routing logic of the platform. You’ll work … Generation (RAG) architectures. Implement and refine LLM-as-a-judge evaluation frameworks for continuous model improvement. Collaborate closely with cross-functional teams to translate business challenges into analytical and data-driven solutions. Produce clear, visually compelling analytical outputs to inform decision-making at senior levels. Develop Python-based analytical pipelines and prototype models in a cloud environment (AWS preferred More ❯

issues clearly. Key Responsibilities: Design and implement test plans for AI/ML applications, APIs, and pipelines.Validate machine learning models, ensuring accuracy, fairness, and robustness.Develop automated testing frameworks for data pipelines, model training, and inference.Perform functional, integration, regression, and performance testing on AI systems.Work closely with Data Scientists and AI Engineers to identify and resolve issues. More ❯

Key Responsibilities: Design and implement test plans for AI/ML applications, APIs, and pipelines. Validate machine learning models, ensuring accuracy, fairness, and robustness. Develop automated testing frameworks for data pipelines, model training, and inference. Perform functional, integration, regression, and performance testing on AI systems. Work closely with Data Scientists and AI Engineers to identify and resolve issues. More ❯

Data Scientist - Customer Experience Location: London (2 days per week on site) Contract Length: 3 months initially, scope to extend Day Rate: £615 per day (Inside IR35) Overview A leading organisation is seeking an experienced Data Scientist to join their Customer Experience and Fraud Compensation team. This role will focus on developing and refining models that explain and … service outcomes. Support the expansion and adaptation of existing models from international teams. Translate complex analytical outputs into clear, actionable insights for non-technical stakeholders. Develop visualisations and concise data stories to communicate findings to senior leaders. Ensure models remain robust, interpretable, and commercially relevant , avoiding unnecessary complexity. Required Skills and Experience Proven experience as a Data Scientist … within a customer, marketing, or consumer analytics environment. Strong proficiency in Python for data manipulation, analysis, and model development. Experience working with Vertex AI Solid understanding of predictive modelling , causal inference , optimisation , or uplift modelling . Demonstrated ability to simplify technical work for senior business audiences. Collaborative mindset with the ability to take on feedback and iterate effectively. Stakeholder More ❯

Backend Software Engineer to help design and develop backend systems supporting large-scale LLM and GenAI workloads. The role will focus on backend architecture, API integration, and automation across data and compute pipelines. What you'll be doing: Build and maintain Python backend systems for GenAI evaluation Integrate LLM components with data and compute infrastructure Deliver clean, well … tested, production-grade code (FastAPI preferred) Collaborate with ML engineers, data scientists, and DevOps teams Participate in agile delivery and CI/CD improvement initiatives Key Skills: Python, FastAPI, Cloud (GCP/AWS), CI/CD, Git/GitHub, automated testing, DevOps fundamentals Ideal for: Engineers with a strong backend foundation and hands-on GenAI or LLM integration experience More ❯

Our client at very well known Retail Giant is currently looking to hire a Senior/Lead Technical Engineer (Data/ML) based from their offices in London. As the Senior/Lead Tech Engineer/Manager (Data/ML) you will be part of build a small team and mentor during the build phase along with the … Engineering Manager. Job Title: Senior/Lead Tech Eng/Manager (Data/ML) Location: London/Hybrid - Once a Week (Thursday) in London Duration: 6 Months Day Rate: £550 to £600prd (Inside IR35 - Umbrella) This is a greenfield based project with crossover from another tech team conducting a similar model. Interaction with Key Stakeholders and like minded Tech … Teams is essential. Working alongside the Data Scientist and Data Architect Experience at a Tech Lead/Senior Engineering Level Mentoring/Team Leading experience - REQUIRED/Demonstrable on CV (Full Support from Engineering Manager is also available) Hands on development/engineering background Machine Learning or Data Background Technical Experience: PySpark, Python, SQL, Jupiter Cloud: AWS More ❯

Our client at very well known Retail Giant is currently looking to hire a Senior/Lead Technical Engineer (Data/ML) based from their offices in London. As the Senior/Lead Tech Engineer/Manager (Data/ML) you will be part of build a small team and mentor during the build phase along with the … Engineering Manager. Job Title: Senior/Lead Tech Eng/Manager (Data/ML) Location: London/Hybrid - Once a Week (Thursday) in London Duration: 6 Months Day Rate: £550 to £600prd (Inside IR35 - Umbrella) This is a greenfield based project with crossover from another tech team conducting a similar model. Interaction with Key Stakeholders and like minded Tech … Teams is essential. Working alongside the Data Scientist and Data Architect Experience at a Tech Lead/Senior Engineering Level Mentoring/Team Leading experience - REQUIRED/Demonstrable on CV (Full Support from Engineering Manager is also available) Hands on development/engineering background Machine Learning or Data Background Technical Experience: PySpark, Python, SQL, Jupiter Cloud: AWS More ❯

Contract Data Scientist - Multi-Touch Attribution Location: Hybrid (2-3 days per week, London office) Duration: 4 months Rate: £500 per day (Outside IR35) About the Role We're partnering with a leading marketing and communications group to find an experienced Data Scientist for a 16-week contract engagement. The successful candidate will take ownership of developing and … multi-touch attribution (MTA) models, helping the client better understand and optimise their customer journeys. This role suits someone who's confident working independently, thrives on solving real-world data challenges, and focuses on delivering tangible business value over theoretical perfection. Key Responsibilities Design, build, and validate multi-touch attribution models to measure marketing effectiveness across multiple channels. Collaborate More ❯

Gateway, SageMaker, DynamoDB, ECS, etc.) to deploy scalable AI solutions. Implement Full Stack JavaScript (Node.js, React.js, Express, TypeScript, Next.js, etc.) applications to support AI-driven interfaces. Work closely with data scientists and ML engineers to integrate machine learning models into cloud-native applications. Ensure security, scalability, and reliability of AI agent solutions in production environments. Design event-driven and … solving skills and ability to translate business requirements into technical solutions. Preferred: Experience with AI chatbot frameworks (Dialogflow, Rasa, BotPress, or custom LLM integrations). Exposure to AI ethics, data privacy, and compliance regulations. Prior experience in multi-agent systems or autonomous AI workflows. Hands-on experience with vector databases (Pinecone, Weaviate, FAISS) and AI embeddings. Remote WorkingSome remote More ❯

designing, developing, and implementing scalable AI-driven platforms that power business-critical applications in financial services. Working within the Enterprise Technology Services (ETS) division, you'll collaborate with architects, data scientists, and development teams to embed AI/ML models into enterprise systems. You'll help drive adoption of AI best practices, shape the bank's AI architecture strategy … Driving adoption of AI best practices across development teams. Leading and participating in architecture communities of practice. Staying ahead of technology trends such as cloud, AI, distributed systems, and data security. What we're looking for: 5+ years' experience in JavaScript, Java, TypeScript, or Python. Strong background in architecting and building complex systems. Knowledge of financial services applications (risk … transaction processing, data security). Strong communication skills to present complex ideas to stakeholders. Experience working with data scientists to productionise models. Familiarity with AI frameworks such as NLP, knowledge graphs, or recommendation systems. McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds. More ❯

An exciting research and analytics company in London is looking for a Data Scientist to join the team on a contract basis. Location: London Office policy: 1 day per week in the office Contract length: 3 month's, with potential to go permanent Start date: 03/11/2025 Salary: £70,000-£75,000 (pro rata for FTC … The Job Analyse app, web, and in-home data to measure campaign effectiveness at impression and outcome level. Lead on brand lift measurement, showing how advertising works and refining the signals that prove campaign impact. Apply regression analysis, MMM techniques and work with AI/LLMs where relevant. Collaborate closely with engineering and product teams to integrate data … systems. Translate insights into clear, actionable recommendations for ad tech clients and internal stakeholders. Present findings to non-technical stakeholders, focusing on outcome metrics and campaign improvement. You Experienced Data Scientist with a background in fraud, methodology, and campaign/brand measurement. Strong technical skills across Python, regression modelling and MMM. Confident working with large datasets and combining app More ❯