1 to 25 of 103 Contract Data Science Jobs

on Generative AI solution design and developmentResearching and implementing cutting edge techniques, methodologies and approachesTaking projects from design, through proof of concept and into production and developing and delivering data science solutions using a variety of data sourcesLeading stakeholder management and issue resolution on project workIdentifying, sourcing, and engineering data to support data science activitiesCollaborating with other data professionals and business stakeholdersEnsuring all work is fully documented and quality assuredTaking solutions through internal governance and risk management processes Experience Required- Degree in a quantitative discipline (e.g., statistics, computing science, data science) or equivalent experienceExperience in dealing with high volumes of data with excellent attention to detailKnowledge of a … wide variety of Generative AI modelsConceptual understanding of how large language models workProficiency in coding languages for data manipulation (e.g., SQL) and machine learning & AI development (e.g., Python)Experience with dashboarding tools such as Power BI and Tableau (beneficial but not essential)Experience with cloud native tooling for Azure and AWSStrong analytical and problem-solving skills Disclaimer: This vacancy More ❯

AI solution design and development Researching and implementing cutting edge techniques, methodologies and approaches Taking projects from design, through proof of concept and into production and developing and delivering data science solutions using a variety of data sources Leading stakeholder management and issue resolution on project work Identifying, sourcing, and engineering data to support data science activities Collaborating with other data professionals and business stakeholders Ensuring all work is fully documented and quality assured Taking solutions through internal governance and risk management processes Experience Required- Degree in a quantitative discipline (e.g., statistics, computing science, data science) or equivalent experience Experience in dealing with high volumes of data with … excellent attention to detail Knowledge of a wide variety of Generative AI models Conceptual understanding of how large language models work Proficiency in coding languages for data manipulation (e.g., SQL) and machine learning & AI development (e.g., Python) Experience with dashboarding tools such as Power BI and Tableau (beneficial but not essential) Experience with cloud native tooling for Azure and More ❯

My client, a specialist engineering consultancy with a client base spanning a number of technical engineering sectors, requires an experienced Data Scientist for a contract role outside IR35. This role is 100% WFH. The Data Scientist will utilise their expertise to analyse complex data sets and provide insights to give clients a competitive advantage. The Data Scientist will be responsible for designing and implementing data-driven solutions to address business problems and collaborate with cross-functional teams to deliver high-quality analytics solutions. The Data Scientist will have experience in using a variety of techniques to analyse complex datasets and develop data models. You will be experienced in data visualisation, understanding … to both technical and non-technical audiences. Computer vision experience is essential for this role. Responsibilities Work with cross-functional teams to identify business problems and translate them into data-driven solutions. Develop algorithms and statistical models to analyse and interpret complex data sets. Collaborate with software engineers to integrate models into the production environment. Communicate insights and More ❯

Senior Data Scientist - AI/ML (Financial Services) Location: Remote/Major Hubs in APAC, Europe, and the UK Team: Advanced Analytics & Artificial Intelligence About the Role We are seeking a highly experienced and innovative Senior Data Scientist to join our global Advanced Analytics team. This is a strategic role focused on designing, developing, and deploying cutting-edge … growth, optimizing risk management, enhancing customer experiences, and ensuring regulatory compliance on a global scale. Key Responsibilities End-to-End Model Development: Lead the entire ML lifecyclefrom problem framing, data exploration, and feature engineering to model training, validation, deployment, and monitoring in production environments. Advanced Algorithm Design: Develop and implement sophisticated machine learning algorithms (e.g., Gradient Boosting, NLP, Deep … detection, credit scoring, algorithmic trading, customer segmentation, and sentiment analysis. Stakeholder Management: Collaborate closely with business leaders (e.g., Risk, Marketing, Trading, Operations) to translate complex business problems into actionable data science projects with clear KPIs and ROI. Technical Leadership: Mentor junior data scientists, establish best practices for code (e.g., Git), model versioning (e.g., MLflow), and reproducible research. More ❯

Data Scientist - Python £700-£750 pd via Umbrella Initially for 6 months with long term potential Global Retail business is looking for a Data Scientist to join their advanced data science team. This is an exciting opportunity to apply cutting-edge machine learning techniques to real-world problems, driving innovation and value across a data-rich business environment. Key Responsibilities: Design, build, and deploy data science solutions to support business initiatives, with a focus on machine learning and time series forecasting. Collaborate with cross-functional teams to integrate ML models into production systems using modern cloud platforms. Communicate insights and model outputs to stakeholders in a clear, actionable way. Key Skills & Experience … Proven experience working as a Data Scientist or Machine Learning Engineer in a commercial setting. Strong programming skills in Python, with hands-on experience using libraries such as Pandas, Scikit-Learn, Jupyter, and Matplotlib. Proficient in SQL for data extraction and transformation. Experience with Google Cloud Platform (GCP) and Vertex AI for developing and deploying ML services is More ❯

Contract Role – Data AWS Engineer – Northampton/Hybrid – 6 months – Inside IR35 7+ years of experienced in designing, building, and maintaining data pipelines and architectures on the Amazon Web Services (AWS) cloud platform. Skilled in scalable, reliable, and efficient data solutions, often using AWS services like S3, Redshift, EMR, Glue, and Kinesis. This involves designing ETL processes … ensuring data security, and collaborating with other teams for data analysis and business requirements Role Overview: Job Title: Data AWS Engineer Location: Northampton (hybrid: 2-3 days in office) Contract Type: Contract Duration: 6 months Key Responsibilities: Designing and Building Data Pipelines: Creating and implementing data pipelines to move data between different systems and … applications on AWS. Data Warehouse Management: Designing, building, and maintaining data warehouses using AWS services like Redshift. ETL Process Development: Developing and maintaining Extract, Transform, Load (ETL) processes to move and transform data. Data Governance and Security: Implementing data governance and security policies for data storage and processing. Collaboration and Communication: Working with data More ❯

On behalf of the MOD, we are looking for a Head of Data and Assurance (Inside IR35) for a 12 Month hybrid contract based 1 or 2 days per week in Salisbury or Portsmouth. Head of Data and Assurance Note: SC Clearance is an essential requirement for this role, as a minimum you must be willing & eligible to … situ), preference may be given to candidates who meet all of the essential criteria and hold active security clearance This role will be responsible for defining the cross Dstl data purpose and delivering a compelling vision and long-term strategy for data within Dstl. Guiding and assuring the business to realise this strategy in line with future S … T and business capability requirements and the aspirations of the Data Strategy for Defence. The role will deliver thought leadership in data across the enterprise and cohere internal and external data relationships to help realise Dstl's overall strategic aims where they are dependent on data expertise. This role will be held to account by the More ❯

We are seeking an experienced Head of Data to lead the data vision, strategy, and governance framework for a high-profile science and technology organisation. This role offers the opportunity to shape how data is leveraged to drive innovation, insight, and decision-making in a complex and fast-moving environment. Security Clearance: SC Required (sole UK … Rate to Candidate: £1084 per day day Contract Length: 12 months Location: Porton Down (Salisbury) or Portsdown West (Fareham) – hybrid with occasional site visits The Role As Head of Data, you will: Define and deliver the organisation’s data vision, strategy, and long-term roadmap. Establish robust data governance and assurance frameworks, ensuring compliance with regulatory, statutory … and organisational requirements. Build and lead high-performing data teams, fostering a collaborative, innovative, and inclusive culture. Represent the organisation at senior levels, providing advice and guidance on data capability, policy, and best practice. Engage with external partners across industry, academia, and government to leverage expertise, enhance capability, and share knowledge. Translate strategic vision into actionable initiatives and More ❯

Data Analyst/Data Scientist - Microsoft Fabric, Databricks, Power BI Up to £600 per day (Inside IR35 - Umbrella) London/Hybrid (Must be UK Based, 1-2 days per week onsite may be required) 3-6 Months I am currently working with a leading consultancy who are looking for a Data Analyst/Data Scientist with … Microsoft Fabric, Databricks and Power BI skills, and previous experience of working on Finance Programmes to work closely with a high profile end customer. Key Requirements: Proven experience as Data Analyst/Data Scientist within a large Enterprise Scale organisation Demonstrable experience using Microsoft Fabric, Databricks and Power BI amongst other Microsoft technologies Previous experience of working on … AI related Projects/Programmes of work Excellent communication skills with both technical and non-technical audiences Flexible approach towards hybrid working when required Nice to have: Proficiency in Data Science tooling such as R Previous experience in the Transport/Engineering/Construction/Energy sectors Immediate availability If you're interested in this role, click 'apply More ❯

Data Analyst/Data Scientist - Microsoft Fabric, Databricks, Power BI Up to £600 per day (Inside IR35 - Umbrella) London/Hybrid (Must be UK Based, 1-2 days per week onsite may be required) 3-6 Months I am currently working with a leading consultancy who are looking for a Data Analyst/Data Scientist with … Microsoft Fabric, Databricks and Power BI skills, and previous experience of working on Finance Programmes to work closely with a high profile end customer. Key Requirements: Proven experience as Data Analyst/Data Scientist within a large Enterprise Scale organisation Demonstrable experience using Microsoft Fabric, Databricks and Power BI amongst other Microsoft technologies Previous experience of working on … AI related Projects/Programmes of work Excellent communication skills with both technical and non-technical audiences Flexible approach towards hybrid working when required Nice to have: Proficiency in Data Science tooling such as R Previous experience in the Transport/Engineering/Construction/Energy sectors Immediate availability If you're interested in this role, click 'apply More ❯

Robert Half have partnered with one of our Pharmaceutical manufacturing organisations to help them recruit for an experience Snowflake Data Engineer on an initial 6 months experienced based out of their London office. You will play a key role in designing and managing our Snowflake data warehouse and leveraging dbt (Data Build Tool) to transform raw data into reliable, analysis-ready datasets that support regulatory compliance, operational efficiency, and innovation. Responsibilities: Design, develop, and maintain scalable data pipelines to support manufacturing, quality, and supply chain data workflows. Implement and manage data transformation models using dbt to standardise and validate datasets. Optimise and monitor performance of Snowflake data warehouse environments. Collaborate with cross … functional teams (Data Scientists, Quality, Manufacturing, IT) to define data requirements and deliver reliable data solutions. Develop and maintain ETL/ELT workflows using modern orchestration and integration tools (e.g., Airflow, Fivetran, or similar). Implement data governance, lineage, and documentation best practices. Support business intelligence tools (e.g., Tableau, Power BI) by ensuring data accessibility More ❯

implement AI solutions such as predictive maintenance, intelligent forecasting, document automation, and customer analytics. Build a library of reusable AI tools and frameworks to accelerate adoption across sites. Ensure data readiness, improving data quality and structure to support advanced analytics and automation. Lead change management and training programmes, helping teams understand and embrace AI tools. Establish governance and … Experience working with ERP systems (SAP, Odoo, NetSuite) and RPA or digital twin technologies. Proficiency in Power BI or Tableau for analytics and reporting. Understanding of AI governance and data ethics. Formal qualification in Computer Science, Data Science, or a related field. What Youll Achieve In your first 1224 months, youll: Deliver 23 high-impact AI More ❯

Role: Data Scientist Work mode: Hybrid, 3 days working from client office Contract duration: 6 months + Extendable Location: London, UK Job Description: The Data Scientist will design and implement data-driven solutions that enable DBT to make informed, evidence-based decisions. With a background across government, financial services, healthcare, and e-commerce, they will bring a … robust analytical approach to large-scale datasets, supporting discovery, alpha, and beta phases in line with GDS service standards. Key Responsibilities Design, build, and maintain data pipelines, dashboards, and machine learning models using Python, SQL, Django ORM, and PostgreSQL. Use data visualisation tools (Tableau, Power BI, Plotly) to communicate insights clearly to both technical and policy stakeholders. Apply … predictive analytics and natural language processing to support user behaviour analysis and policy design. Collaborate within multidisciplinary Agile teams including developers, designers, and researchers to embed data insight into service design. Deploy and optimise models using AWS ECS Fargate, Lambda, and S3. Ensure data security, ethics, and GDPR compliance across all solutions. Experience Over 6 years experience in More ❯

AI/machine learning or statistical models in surveillance or conduct risk contexts. Key Responsibilities Independently validate and periodically review trade surveillance models for robustness and regulatory compliance Evaluate data quality, feature engineering, and model performance across surveillance systems Review model documentation for conceptual soundness, implementation quality, and governance controls Conduct benchmarking, backtesting, and stress testing using Python to … ratings for senior stakeholders Support regulatory validation work under FCA and other relevant frameworks Contribute to the enhancement of validation methodologies for surveillance models Skills and Experience Experience in data science, machine learning development or validation, or a quantitative role in financial services or regulated industries Strong academic background in data science, statistics, mathematics, computer science More ❯

AI/machine learning or statistical models in surveillance or conduct risk contexts. Key Responsibilities Independently validate and periodically review trade surveillance models for robustness and regulatory compliance Evaluate data quality, feature engineering, and model performance across surveillance systems Review model documentation for conceptual soundness, implementation quality, and governance controls Conduct benchmarking, backtesting, and stress testing using Python to … ratings for senior stakeholders Support regulatory validation work under FCA and other relevant frameworks Contribute to the enhancement of validation methodologies for surveillance models Skills and Experience Experience in data science, machine learning development or validation, or a quantitative role in financial services or regulated industries Strong academic background in data science, statistics, mathematics, computer science More ❯

Databricks Data Engineer £500 - £600 per day Outside IR35 We're partnering with a leading online retail company that's transforming the way data and real-time intelligence shape customer experiences. Their mission is to harness cutting-edge data and streaming technologies to drive smarter decisions, improve efficiency, and create personalised journeys for millions of shoppers worldwide. … The Role As a Senior Data Engineer, you'll play a key role in developing and optimising the backbone of the company's data platform. You'll be responsible for building and maintaining large-scale, real-time data pipelines that power analytics, machine learning, and operational systems across the business. You'll collaborate with software engineers, data scientists, and analytics teams to ensure the platform delivers reliable, high-quality, and compliant data at scale. This is a hands-on engineering role that blends software craftsmanship with data architecture expertise. Key responsibilities: Design and implement high-throughput data streaming solutions using Kafka, Flink, or Confluent. Build and maintain scalable backend systems in Python or More ❯

group of niche clients, to deliver the best possible experience to the candidate. Our client, a leading financial services company is hiring for a Business & Engagement Manager for their Data Science team, to be based in Birmingham Key Responsibilities: You will be responsible for defining procedures and practices to monitor the data governance framework Reinforcing effective documentation … for audits and tracking purposes. Monitor data quality, present quality reports and identify any critical gaps within the data governance compliance. Requirements: At least 5 years of experience in Information Management with at least 4 years in Data Management/Governance. Bachelor's degree in data science, Business Administration or related field. Deep understanding of … ISO Standards and regulatory requirements. 3 years' experience working in the financial services or consulting industry With Myn, you gain a trusted partner dedicated to helping experienced data professionals excel in their careersconnecting you with forward-thinking employers and impactful projects. More ❯

between rapid AI development and the stringent security and compliance requirements of the financial industry. You will design and implement robust, scalable, and secure MLOps platforms that enable our data scientists to innovate safely and at speed, ensuring the integrity, confidentiality, and availability of our models and data. Key Responsibilities Secure MLOps Platform Engineering: Design, implement, and manage secure … automated CI/CD pipelines specifically for machine learning models (MLOps), integrating security checks (SAST, DAST, SCA) and data validation gates. AI/ML Infrastructure Security: Harden and secure the underlying cloud infrastructure for AI/ML workloads, including GPU clusters, container orchestration (Kubernetes), and managed services (e.g., AWS SageMaker, Azure ML). Security by Design: Embed security controls … into every stage of the ML lifecycle (data ingestion, feature store, model training, deployment, monitoring). Implement secrets management, network security (firewalls, VPCs), and identity and access management (IAM) for data and model assets. Compliance & Governance: Ensure the MLOps platform adheres to stringent financial industry regulations (e.g., GDPR, SOX, PCI-DSS, SWIFT CSCF) and internal policies (Model Risk More ❯

Senior Data Engineer | 3-Month Contract (Possible Extension) | £550-£650p/day | Fully Remote | GCP, MongoDB, PostgreSQL | Start: Immediately About the Role On behalf of a leading healthcare technology company , we're looking for a Senior Data Engineer to join on an initial 3-month contract. This is an exciting opportunity to help shape scalable, data-driven … systems that support innovation in the healthcare sector. The focus is pure data engineering. You'll be building and optimising pipelines, coding solutions against live data, and ensuring performance at scale within a modern cloud-native environment. Key Responsibilities Design, build, and maintain data pipelines and architectures in Google Cloud Platform (GCP) . Develop MongoDB solutions from … scratch , managing live/streaming data. Write, optimize, and tune PostgreSQL queries for large-scale workloads. Work with microservices, event-driven systems, and distributed architectures to support complex data flows. Collaborate with product, data science, and engineering teams to ensure data availability, quality, and performance. Key Skills & Experience Proven expertise in GCP data engineering tools More ❯

AWS Data Engineer - Contract Duration: 6 months Location: Mostly remote (occasional office visits) Rate: £500-£550 per day (Outside IR35) I'm partnering with a global consultancy that is looking for a Data Engineer to enhance its evolving data infrastructure and drive operational excellence. This is a hands-on role where you'll play a key part … in business-critical operations, tackling complex data challenges, supporting cross-functional initiatives, and improving core data systems. As a central member of the data team, you'll be responsible for building and maintaining scalable data pipelines, resolving data quality issues, and collaborating closely with analysts, engineers, and stakeholders. If you thrive in a fast-paced … environment and enjoy optimising data systems, this could be a great match. Key Responsibilities: Design, develop, and maintain scalable data pipelines for both operational and analytical needs Ensure high data integrity through best practices in validation and quality assurance Investigate and resolve data issues, identifying root causes and implementing sustainable solutions Lead and support data More ❯

months+ Start date: ASAP Location: 4 days per week on-site in Manchester Languages: English Skills and Responsibilities: Strong understanding of Cloud Computing concepts and platforms. Extensive experience in data modelling, including Dimensional Data Models, Entity-Relationship (ER) Models, and Data Vault architecture. Proficient in writing complex SQL queries for data extraction, transformation, and analysis. In … depth knowledge of Snowflake architecture, including its roles, dynamic tables, streams, tasks, and security policies. Proven experience working on data-centric projects and applications across diverse domains. Hands-on experience with GitLab for version control and CI/CD processes. Proficient in Python for data processing, automation, and analytics. Good understanding of Data Science and Machine … Learning concepts and workflows. Sound knowledge of Data Management and Data Governance practices. Demonstrated experience in effectively managing product owners and stakeholders. Excellent team player with a positive attitude, proactive mindset, and strong collaboration skills. Self-driven, adaptable, and eager to learn new technologies and concepts. If this interests you, please send me an up-to-date CV More ❯

Data Analyst - Customer Success Team London, hybrid working - Initial 9 month contract - Daily rate inside IR35. Are you a data-driven problem solver ready to make a real impact on customer experience? Our client is looking for a motivated Data Analyst to join a fast-moving Global Customer Success team. You'll help build reliable data foundations, automate dashboards and deliver actionable insights that shape customer journeys, digital experiences and operational performance across international markets. What You'll Do: Build robust data foundations: Improve pipelines, ensure data quality and define consistent metrics across multiple countries. Automate recurring reports to save time and increase accuracy. Create insightful dashboards & reports: Deliver user-friendly dashboards with … key metrics to guide smarter, data-led decisions. Dive deep into analysis: Investigate customer challenges, operational inefficiencies and digital adoption hurdles, translating insights into actionable recommendations. Drive experimentation & improvement: Analyse A/B tests and digital experience trials to identify what works best and scale success. Communicate the story: Present insights clearly to both technical and non-technical stakeholders More ❯

DATA SCIENTIST - E-DV CLEARED NEW CONTRACT OPPORTUNITY FOR A DATA SCIENTIST IN LONDON WITH ENHANCED DV CLEARANCE New contract opportunity with a leading consultancy for a Data Scientist London based, 3-4 days on site Enhanced DV Clearance required to start 12 month rolling contract Daily rate up to £850 To apply, email: About We're … seeking an experienced Data Scientist with enhanced Developed Vetting (DV) clearance to join a leading consultancy supporting mission-critical UK Government projects . This is a hands-on, high-impact role within a secure environment, where your analytical expertise will directly contribute to national operational outcomes. The Role As a Data Scientist, you'll work within a multidisciplinary … team to extract insight from complex, high-volume datasets. You'll design and implement advanced analytical and machine learning models, develop robust data pipelines, and deliver actionable intelligence to inform decision-making at the highest levels. This role offers the opportunity to apply your technical skills to highly operational challenges in a fast-paced, secure setting. You'll work More ❯

An exciting opportunity has arisen for a Junior Data Engineer to become part of the National Data and Analytics (NDA) Data Engineering Team.The NDA Data Engineering Team is working on providing data to drive the business forward. You'll work in a team that has access to end-to-end business data whilst also … working with new technologies and data sources. As part of NDA, you will form close relationships with Business Partners, Data Scientists and Report Developers to deliver data driven solutions to the business. We are looking for someone who is enthusiastic about working with data and keen on learning new technologies to support the team of data … skills alongside the technical skills as part of the role is to handle business requests and manage incident resolution. Your New Role Providing 1st level technical support Work on data engineering projects Support members of the data engineering team with day-to-day activities and project work About You The ability to interact with the operational business and More ❯

week on-site 6 Months + UMBRELLA only- Inside IR35 Key Responsibilities Design, develop, and maintain ETL/ELT pipelines using Airflow for orchestration and scheduling. Build and manage data transformation workflows in DBT running on Databricks . Optimize data models in Delta Lake for performance, scalability, and cost efficiency. Collaborate with analytics, BI, and data science teams to deliver clean, reliable datasets. Implement data quality checks (dbt tests, monitoring) and ensure governance standards. Manage and monitor Databricks clusters & SQL Warehouses to support workloads. Contribute to CI/CD practices for data pipelines (version control, testing, deployments). Troubleshoot pipeline failures, performance bottlenecks, and scaling challenges. Document workflows, transformations, and data models for … knowledge sharing. Required Skills & Qualifications 3-6 years of experience as a Data Engineer (or similar). Hands-on expertise with: DBT (dbt-core, dbt-databricks adapter, testing & documentation). Apache Airflow (DAG design, operators, scheduling, dependencies). Databricks (Spark, SQL, Delta Lake, job clusters, SQL Warehouses). Strong SQL skills and understanding of data modeling (Kimball, Data More ❯