101 to 125 of 6,372 Permanent Data Science Jobs

you can accomplish and the chance to make your mark. Location: Belfast, as part of our hybrid working model. Grade: Senior Consultant Contract type: Permanent Are you our next Data Scientist at Senior Consultant level to join our Belfast Centre of Excellence? Who You Are: You have 3-4 years' experience in delivering scalable Analytics and AI solutions in … large, complex organisations, with a focus on end-to-end delivery of advanced analytics and AI initiatives. You like to solve problems and data is your raw material. You architect and build solutions to issues by applying analytics and AI techniques to client data. You translate complex business problems into a roadmap of technical tasks, utilising a variety of … tools, capabilities and technologies. You are comfortable working with data of all kinds, from structured data to free text, images and video. You have built a specialist skill set and continuously seek to learn and improve. Ideally, you bring strong programming skills and can rapidly learn new programming languages. You may come from a background in mathematics, statistics More ❯

Full-time | Hybrid | London | Up to £95,000 + Bonus & Excellent Benefits | Key Responsibilities: Design, develop, and implement advanced data pipelines and ETL/ELT workflows using cloud-native services such as AWS Glue, Lambda, S3, Redshift, and EMR. Act as a technical authority in cloud data engineering by mentoring colleagues and promoting best practices. Collaborate cross-functionally … with analysts, data scientists, and business stakeholders to translate data requirements into robust technical solutions. Establish and enforce standards around data quality, validation, lineage, security, and governance. Troubleshoot and resolve complex production issues and performance bottlenecks in data systems. Develop and maintain CI/CD pipelines for data workflows leveraging tools like Jenkins. Automate data ingestion, transformation, and loading processes to enhance operational efficiency. Work closely with DevOps and Engineering teams to ensure seamless deployment and maintenance of data infrastructure. Stay updated on emerging cloud computing and data engineering technologies to continuously improve team capabilities. Lead small-scale projects or initiatives within the data engineering domain as needed. Background & Experience: Minimum More ❯

Salary: 50.000 - 60.000 € per year Requirements: • 3+ years of hands-on experience as a Data Engineer working with Databricks and Apache Spark • Strong programming skills in Python, with experience in data manipulation libraries (e.g., PySpark, Spark SQL) • Experience with core components of the Databricks ecosystem: Databricks Workflows, Unity Catalog, and Delta Live Tables • Solid understanding of data warehousing principles, ETL/ELT processes, data modeling and techniques, and database systems • Proven experience with at least one major cloud platform (Azure, AWS, or GCP) • Excellent SQL skills for data querying, transformation, and analysis • Excellent communication and collaboration skills in English and German (min. B2 levels) • Ability to work independently as well as part of a … team in an agile environment Responsibilities: As a Data Engineer with a focus on Databricks, you will play a key role in building modern, scalable, and high-performance data solutions for our clients. You'll be part of our growing Data & AI team and work hands-on with the Databricks platform, supporting clients in solving complex data More ❯

Europe's leading Google Cloud specialist consultancy. We're a team that's energised by innovation and delivering exceptional results for our clients. We deliver cutting edge solutions across data and analytics, AI, cloud infrastructure or security that drive digital transformation and enable our customers to scale, modernise and thrive. In joining Qodea, you'll work alongside specialists in … motivated and energetic people who are eager to learn and grow, so if you want to supercharge your career, join Qodea! What you'll do: Develop and maintain automated data processing pipelines using Google Cloud: Design, build, and maintain data pipelines to support data ingestion, ETL, and storage Build and maintain automated data pipelines to monitor … data quality and troubleshoot issues Implement and maintain databases and data storage solutions: Stay up-to-date with emerging trends and technologies in big data and data engineering Ensure data quality, accuracy, and completeness Implement and enforce data governance policies and procedures to ensure data quality and accuracy: Collaborate with data scientists More ❯

company that solves real-world problems for large blue-chip companies and governments worldwide. We're pioneers of meaningful AI : our solutions go far beyond chatbots. We are using data and AI to solve the world's biggest issues in telecommunications, sustainable water management, energy, healthcare, climate change, smart cities, and other areas that have a real impact on … We're underpinned by over 300 engineers and scientists working across Africa, Europe, the UK and the US. ABOUT THE ROLE Sand Technologies focuses on cutting-edge cloud-based data projects, leveraging tools such as Databricks, DBT, Docker, Python, SQL, and PySpark to name a few. We work across a variety of data architectures such as Data Mesh, lakehouse, data vault and data warehouses. Our data engineers create pipelines that support our data scientists and power our front-end applications. This means we do data-intensive work for both OLTP and OLAP use cases. Our environments are primarily cloud-native spanning AWS, Azure and GCP, but we also work on systems More ❯

Compensation £60,000 - £80,000 Base + Performance Related Bonus + Benefits TL;DR Role: Senior level data engineer role Location: UK‐based, fast growing data and AI consultancy specialising in the energy sector Cloud: Strong AWS, Azure or GCP (multi‐cloud desirable, certs a plus) Consultancy/Energy Experience: Highly beneficial, not essential Visa Sponsorship: Not available … if you’re unsure, apply and let’s talk Diversity & Inclusion: We want a broad mix of people and perspectives Who We Are Hypercube Consulting is a rapidly scaling data‐and‐AI specialist focused on the energy sector. We pair deep domain know‐how with modern technology to help utilities, renewables and low‐carbon innovators unlock value from data. … Learn more about how we think on our founder’s blog at https://aesroka.susbtack.com Role purpose As a senior data engineer, you will truly understand a client’s requirements to build, test and deploy data solutions that help customers deliver more value from their data. This will be a senior role in the technical delivery teams More ❯

P lease note: This is an apprenticeship position. Therefore, anyone with more than six months of professional experience working as a Data Engineer or who holds a degree or Master’s degree in a related subject (such as Data Scienceor similar) will not be eligible. You will also need to commit to completing a Level 5 Data … eager to combine paid work with study to earn a qualification? Do you want to join a strong team dedicated to revolutionising digital delivery while kickstarting your career in Data Engineering? This is a fantastic opportunity to join AND Digital as a Data Engineering Apprentice , where you’ll gain hands-on experience, be part of a supportive and … forward-thinking team, and work towards a Level 5 Data Engineering qualification. You’ll learn on the job while applying your skills to real world challenges. Who We Are: AND Digital are a tech company focused on accelerating digital delivery and dedicated to closing the digital skills gap. We’ve been helping organisations build better digital products and stronger More ❯

a company on a mission: to become a beacon for the entire retirement industry. Because we believe everyone deserves a fair, secure, and fulfilling retirement. Purpose: As a Research Data Scientist in the Demographic Risk group at Just, you will play a crucial role in analysing health-related data to derive actionable insights that inform decision-making processes … and drive improvements in pension provision. You will work closely with business owners to identify opportunities to drive value from data and lead the development of advanced analytics & predictive modelling algorithms. You will be comfortable working independently and as part of small teams in dynamic projects across Just to develop predictive models, identify health and mortality trends, and implement … data-driven solutions. You will use a variety of data sources (structured and unstructured) to perform analytics and generate actionable insight and models. You will be responsible for identifying opportunities for improvements across systems and processes. You will ensure that our analytics activities comply with data protection law and that we are upholding our values and ethics More ❯

We are looking for a Senior Data Scientist who enjoys seeing their work used as part of 'real-life' solutions. Not only will your work directly contribute to our client deliverables, but you will have the opportunity to see the process through from solution design to deployment, working in close collaboration with our wider team of Data Engineers … and Data Analysts. In short, you'll form an integral part of our close-knit team and will have the opportunity to directly contribute to the continued success of the business. We're looking for someone with a cooperative, can-do attitude who can build high-quality data science solutions. If this sounds like you, we can … t wait to hear from you! KEY RESPONSIBILITIES: Actively contribute to the design, development, testing, and evaluation of data science solutions Train and deploy state-of-the-art machine learning and reinforcement learning models Build AI systems using Large Language Models Build processes for extracting, cleaning and transforming data (SQL/Python) Ad-hoc data mining More ❯

models in production. This role requires a strong background in MLOps principles, cloud technologies (AWS), and a passion for building robust and efficient systems. You will collaborate closely with data scientists, engineers, and product teams to deliver high-quality ML solutions that directly impact our business. The mission of the Data Science Team is critical for the … and maintain comprehensive monitoring and alerting systems for our ML infrastructure and models, leveraging tools like DataDog to ensure system health and performance Collaboration and Mentorship: Collaborate effectively with data scientists, engineers, and other stakeholders. Provide guidance and support to junior team members Performance Optimization: Continuously optimize ML model performance, data pipelines, and infrastructure to meet evolving business … needs Security and Compliance: Ensure the security and compliance of our machine learning applications and data pipelines, adhering to industry best practices and regulations Problem Solving and Troubleshooting: Proactively identify and resolve issues related to ML model performance, data integrity, and infrastructure What You Bring To The Team Bachelor’s or Master’s degree in Computer Science More ❯

Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the … scalable, predictive and prescriptive business analytics solutions that supports AWS Supply Chain and Procurement organization. You will be part of the Supply Chain Analytics team working with Global Stakeholders, Data Engineers and Business Analysts to achieve our goals. The successful candidate will be a self-starter has a combination of superior analytical and technical abilities, business acumen, and written … and verbal communication skills. Data-driven decision-making is at the core of Amazon's culture. The ideal candidate has deep expertise in gathering requirements and insights, mining large and diverse data sets, data visualization, writing complex SQL queries, building rapid prototype using Python/R and generating insights that enable senior leaders to make critical business More ❯

Senior Business Intelligence Analyst Department: Data Science & Intelligence Employment Type: Permanent - Full Time Location: London, UK Description Tripledot Studios is on track to become one of the largest independent mobile games companies in the world. We are a multi-award-winning organisation, and following our recent acquisition announcement, we’re preparing to grow into a global 2,500+ … just getting started. Take a look at our games: iOS Store + Google Play Role Overview As the Senior BI Analyst, you will play a key role in the data analysis and reporting processes of our company. You will be responsible for ensuring the consistency and accuracy of event tracking documentation, as well as utilising Looker to create insightful … and performant dashboards. Your ability to analyse and interpret data will be crucial in driving actionable insights and improving our gaming products. This is a full-time, senior-level position with the opportunity to work with a talented and passionate team, contribute to the growth of our mobile gaming products, and make a significant impact within the company. Key More ❯

Datalex The Role – Senior Software Engineer Experience in the travel or retail industry would be an advantage. Design, implement, and maintain software components that incorporate machine learning algorithms and data processing. Develop clean, efficient Python code for both backend logic and integration of ML models. Understand the business drivers behind each feature. Create and optimise data pipelines to … collect, preprocess, and transform data for machine learning and analytics. Work with large datasets, ensuring data quality and availability for training and prediction tasks. Develop robust RESTful APIs and microservices (using frameworks like FastAPI or Flask) to expose machine learning functionalities and data services. Ensure APIs are secure, well-documented, and perform at scale. Write and maintain … building, testing, and deploying applications and ML models. Containerise applications (Docker) and assist in orchestration (Kubernetes or cloud services) to ensure smooth deployment of scalable solutions. Work closely with data scientists to deploy machine learning models into production environments. Optimise model inference performance (leveraging frameworks like TensorFlow or PyTorch for model serving) and implement monitoring to track model performance More ❯

will be based on your skills and experience — talk with your recruiter to learn more. Base pay range Direct message the job poster from In Technology Group Head of Data, BI, and AI @ In Technology Group. Job Title: Machine Learning Engineer Our Data Analytics business continues to grow and we are now looking for an experienced and technical … also provide wider ranging support to insurance companies in the life and bulk annuities sector. The Team The client is a specialist and multi-disciplinary team consisting of actuaries, data scientist and developers. Our role in this mission is to pioneer advancements in the field of pensions and beyond, leveraging state-of-the-art technology to extract valuable and … for designing, deploying, maintaining and refining statistical and machine learning models using Azure ML. Optimize model performance and computational efficiency. Ensure that applications run smoothly and handle large-scare data efficiently. Implement and maintain monitoring of model drifts, data-quality alerts, scheduled r-training pipelines. Data Management and Preprocessing. Collect, clean and preprocess large datasets to facilitate More ❯

outstanding customer outcomes. Innovation, continuous improvement, and courage drive them forward in a rapidly evolving industry. What You'll Be Doing Lead and coordinate a team of MI Analysts, Data Analysts, and BI Developers to deliver insightful analysis and reporting supporting business managers. Own the MI, BI, and Analytics function, working with operational leaders to ensure reporting meets business … needs. Ensure compliance with policies, procedures, legislative, and regulatory requirements while maintaining excellent internal customer service. Develop and execute the roadmap for data platforms and reporting solutions. Manage data governance, ensuring data collection, storage, security, and accessibility. Create and implement a MI and BI framework to standardise team practices and ensure data quality. Lead design, implementation … and operation of BI data analysis systems, driving the BI strategy to meet organisational goals. Manage BI/MI lifecycle with business user involvement in design processes, data modelling, and integration. Prioritise and deliver data-driven initiatives and incremental improvements. Optimise the use of commercial and enterprise data across products, sales, finance, and claims. Collaborate with More ❯

outstanding customer outcomes. Innovation, continuous improvement, and courage drive them forward in a rapidly evolving industry. What You'll Be Doing Lead and coordinate a team of MI Analysts, Data Analysts, and BI Developers to deliver insightful analysis and reporting supporting business managers. Own the MI, BI, and Analytics function, working with operational leaders to ensure reporting meets business … needs. Ensure compliance with policies, procedures, legislative, and regulatory requirements while maintaining excellent internal customer service. Develop and execute the roadmap for data platforms and reporting solutions. Manage data governance, ensuring data collection, storage, security, and accessibility. Create and implement a MI and BI framework to standardise team practices and ensure data quality. Lead design, implementation … and operation of BI data analysis systems, driving the BI strategy to meet organisational goals. Manage BI/MI lifecycle with business user involvement in design processes, data modelling, and integration. Prioritise and deliver data-driven initiatives and incremental improvements. Optimise the use of commercial and enterprise data across products, sales, finance, and claims. Collaborate with More ❯

a Senior Software Engineer, Python Development based out of our London office. As a leading, global financial information services provider, Fitch Group delivers vital credit and risk insights, robust data, and dynamic tools to champion more efficient, transparent financial markets. With over 100 years of experience and colleagues in over 30 countries, Fitch Group’s culture of credibility, independence … and transparency is embedded throughout its structure, which includes Fitch Ratings, one of the world’s top three credit ratings agencies, and Fitch Solutions, a leading provider of insights, data and analytics. With dual headquarters in London and New York, Fitch Group is owned by Hearst. Fitch's Technology & Data Team is a dynamic department where innovation meets … impact. Our team includes the Chief Data Office, Chief Software Office, Chief Technology Office, Emerging Technology, Shared Technology Services, Technology, Risk and the Executive Program Management Office (EPMO).Driven by our investment in cutting-edge technologies like AI and cloud solutions, we’re home to a diverse range of roles and backgrounds united by a shared passion for leveraging More ❯

The financial services industry is being revolutionised by the power of AI, creating new opportunities and transforming the way businesses operate. Deloitte's AI & Data Financial Services team is at the forefront of this change, helping our clients harness the potential of AI to drive innovation and achieve their strategic objectives. As an AI Solution Designer, you'll play … to your opportunity Key Responsibilities: Lead client engagements to identify and define high-impact AI use cases across various business functions. Conduct feasibility assessments, develop solution architectures, and define data requirements for AI initiatives. Design end-to-end AI solutions, outlining data pipelines, model architectures, and deployment strategies. Collaborate closely with data scientists, engineers, and domain experts … Proficiency: Strong understanding of AI concepts, machine learning algorithms, and deep learning architectures. Familiarity with various AI solution design patterns and best practices for different business applications. Experience with data visualization tools and techniques to communicate insights and solution designs effectively. Knowledge of cloud computing platforms (e.g., AWS, Azure, GCP) and their AI/ML services. Basic understanding of More ❯

a Senior Software Engineer, Python Development based out of our London office. As a leading, global financial information services provider, Fitch Group delivers vital credit and risk insights, robust data, and dynamic tools to champion more efficient, transparent financial markets. With over 100 years of experience and colleagues in over 30 countries, Fitch Group’s culture of credibility, independence … and transparency is embedded throughout its structure, which includes Fitch Ratings, one of the world’s top three credit ratings agencies, and Fitch Solutions, a leading provider of insights, data and analytics. With dual headquarters in London and New York, Fitch Group is owned by Hearst. Fitch's Technology & Data Team is a dynamic department where innovation meets … impact. Our team includes the Chief Data Office, Chief Software Office, Chief Technology Office, Emerging Technology, Shared Technology Services, Technology, Risk and the Executive Program Management Office (EPMO). Driven by our investment in cutting-edge technologies like AI and cloud solutions, we’re home to a diverse range of roles and backgrounds united by a shared passion for More ❯

focus on Python-based AI/ML development, automation, and general software engineering. The successful candidate will play a key role in building and deploying machine learning features and data-driven applications. You will work on end-to-end solutions – from writing robust code and unit tests to developing APIs and integrating machine learning models into our product ecosystem. … want to hear from you. Experience in the travel or retail industry would be an advantage. Responsibilities Design, implement, and maintain software components that incorporate machine learning algorithms and data processing. Develop clean, efficient Python code for both backend logic and integration of ML models. Understand the business drivers behind each feature. Create and optimise data pipelines to … collect, preprocess, and transform data for machine learning and analytics. Work with large datasets, ensuring data quality and availability for training and prediction tasks. Develop robust RESTful APIs and microservices (using frameworks like FastAPI or Flask) to expose machine learning functionalities and data services. Ensure APIs are secure, well-documented, and perform at scale. Write and maintain More ❯

experienced and innovative Senior BI/Performance Analyst to join our high-performing team, focusing on a strategic regional client account. This role will be pivotal in transforming complex data into actionable intelligence, driving performance optimization, and enhancing client value proposition. The ideal candidate will blend advanced analytical skills with business acumen to deliver insights that shape strategic decisions … and operational excellence. Key Responsibilities Advanced Data Analytics and Predictive Modeling Develop and implement sophisticated statistical models and machine learning algorithms to forecast trends, predict outcomes, and identify opportunities for performance enhancement. Utilize advanced analytics techniques such as regression analysis, time series forecasting, and clustering to extract deeper insights from multifaceted datasets. Design and execute A/B tests … and correlations in client data. Develop and maintain a comprehensive performance measurement framework, aligning metrics with client's strategic objectives. Lead root cause analyses for complex performance issues, proposing data-driven solutions. Business Intelligence and Data Visualization Architect and implement end-to-end BI solutions, from data integration to front-end dashboards. Create interactive, dynamic dashboards and More ❯

for online retail. For over 10 years, we've been pioneering privacy-safe, full-funnel marketing measurement, empowering all teams to make smarter decisions Our platform unites Finance, Marketing, Data, and Leadership with a shared view of performance and profitability—combining full-funnel measurement, forecasting, and optimization. With Fospha, every team moves faster and grows smarter. Trusted by over … build, mentor, and lead our Business Intelligence team. The ideal candidate will be a strategic thinker with a strong analytical background, proven leadership abilities, and a passion for leveraging data to drive business decisions. This is an exciting opportunity to shape our BI capabilities from the ground up, fostering a data-driven culture and developing a high-performing … expertise—comfortable leading architecture and tooling decisions, while also rolling up your sleeves to build, optimize, and troubleshoot BI solutions when necessary. Responsibilities: Define and implement best practices for data analysis, reporting, and data governance. Conduct in-depth analysis to identify actionable trends, patterns, and insights. Lead initiatives to enhance BI capabilities and internal reporting standards. Develop and More ❯

will serve as a subject matter expert providing technical leadership guidance and best practices across the team. You will play a critical role in designing developing and implementing complex data solutions on cloud platforms (primarily AWS) ensuring they meet the highest standards of quality scalability and performance. Serve as a subject matter expert in cloud data engineering providing … technical guidance and mentorship to the team. Drive the design development and implementation of complex data pipelines and ETL/ELT processes using cloud-native technologies (e.g. AWS Glue AWS Lambda AWS S3 AWS Redshift AWS EMR). Develop and maintain data quality checks data validation rules and data lineage documentation. Collaborate with data analysts … data scientists business stakeholders and product owners to understand their data needs and translate them into innovative and effective technical solutions. Troubleshoot and resolve complex data quality issues performance bottlenecks and production incidents. Participate in the evaluation selection and implementation of new data technologies and tools. Adhere to and champion best practices in data engineering More ❯

will serve as a subject matter expert providing technical leadership guidance and best practices across the team. You will play a critical role in designing developing and implementing complex data solutions on cloud platforms (primarily AWS) ensuring they meet the highest standards of quality scalability and performance. Serve as a subject matter expert in cloud data engineering providing … technical guidance and mentorship to the team. Drive the design development and implementation of complex data pipelines and ETL/ELT processes using cloud-native technologies (e.g. AWS Glue AWS Lambda AWS S3 AWS Redshift AWS EMR). Develop and maintain data quality checks data validation rules and data lineage documentation. Collaborate with data analysts … data scientists business stakeholders and product owners to understand their data needs and translate them into innovative and effective technical solutions. Troubleshoot and resolve complex data quality issues performance bottlenecks and production incidents. Participate in the evaluation selection and implementation of new data technologies and tools. Adhere to and champion best practices in data engineering More ❯

will serve as a subject matter expert providing technical leadership guidance and best practices across the team. You will play a critical role in designing developing and implementing complex data solutions on cloud platforms (primarily AWS) ensuring they meet the highest standards of quality scalability and performance. Serve as a subject matter expert in cloud data engineering providing … technical guidance and mentorship to the team. Drive the design development and implementation of complex data pipelines and ETL/ELT processes using cloud-native technologies (e.g. AWS Glue AWS Lambda AWS S3 AWS Redshift AWS EMR). Develop and maintain data quality checks data validation rules and data lineage documentation. Collaborate with data analysts … data scientists business stakeholders and product owners to understand their data needs and translate them into innovative and effective technical solutions. Troubleshoot and resolve complex data quality issues performance bottlenecks and production incidents. Participate in the evaluation selection and implementation of new data technologies and tools. Adhere to and champion best practices in data engineering More ❯