401 to 425 of 7,860 Data Science Jobs

user base. The role is to define and set up a greenfield standardized MLOps framework for capital markets and set up all the tools and best practices to educate data scientists and equip them with the right tools and expertise. You MUST be hands on. A strong understanding of Devops, Machine learning and Data engineering is required to … such, you will gain exposure to lots of different business areas and business stakeholders, so relationship building and good communication will be key. You will bring a expertise in data science or data engineering, with a specific focus on MLOps for at least 2 years . This platform is critical and will be rolled out across the … that handle very large datasets. You will be responsible for building out a greenfield standaridised framework for Capital markets. The core platform is built on Azure Databricks Lakehouse, consolidating data from various front and Middle Office systems to support BI, MI, and advanced AI/ML analytics. As a lead, you will shape the MLOps framework and establish best More ❯

user base. The role is to define and set up a greenfield standardized MLOps framework for capital markets and set up all the tools and best practices to educate data scientists and equip them with the right tools and expertise. You MUST be hands on. A strong understanding of Devops, Machine learning and Data engineering is required to … such, you will gain exposure to lots of different business areas and business stakeholders, so relationship building and good communication will be key. You will bring a expertise in data science or data engineering, with a specific focus on MLOps for at least 2 years . This platform is critical and will be rolled out across the … that handle very large datasets. You will be responsible for building out a greenfield standaridised framework for Capital markets. The core platform is built on Azure Databricks Lakehouse, consolidating data from various front and Middle Office systems to support BI, MI, and advanced AI/ML analytics. As a lead, you will shape the MLOps framework and establish best More ❯

Driving the digital future of Kramp Group by discovering and building great products, making life easy for our customers. Kramp Group discovers and builds e-commerce, supply chain, finance & data science solutions that aim to give the ag-tech industry a push forward. We’re building a digital platform serving thousands of customers and generating over one billion … euros in turnover annually. As an Analytics Engineer , you play a critical role in transforming raw data into clean, reliable, and business-ready insights. You serve as the essential link between data engineers and business analysts, combining deep technical expertise with strong business acumen. Your work ensures our data warehouse is technically sound, accessible, well-modeled, and … aligned with business needs. You will design scalable data models, implement software engineering best practices (including version control, CI/CD, and testing), and contribute to data governance. You will help manage structured and unstructured data, enabling consistent, accurate, and timely reporting and analytics across the organization. Tech Stack: dbt | Google BigQuery/SQL | Tableau (occasionally) | Python More ❯

s why good things happen when you meerkat. We’d love you to be part of our journey. As a Machine Learning Engineer, you will be working closely with data scientists and wide range of business and tech stakeholders with varying levels of understanding towards Machine Learning, and will identify the tech requirements to productionise automated, scalable and stable … makes you great for this role. Some of the great things you’ll be doing: Develop, maintain, monitor (health & performance) and optimise integrated Machine Learning products Work closely with Data Engineering, Platform and Architecture teams to improve and develop new products, integrations, tools and technologies Work with data scientists to productionise various ML models, making sure the code … standards Follow best practice for the management and interrogation of large scale ‘structured’ and ‘unstructured’ datasets (million+ rows with thousand+ features, policy documents, etc) Enable the collection of new data and the refinement of existing data sources. Help manage day to day operations of the Data Science & Analytics platform (Databricks), and other ML Solutions built & operated More ❯

Company Description Hitachi Solutions Europe is a global Digital, Data and Technology consultancy, Microsoft Gold partner and Cloud Services partner, specialising in end-to-end transformation. As a global consultancy firm working across the private and public sectors, we specialise in Dynamics 365 Business Applications, Power Platform, including Azure, Application Modernisation and Data & Analytics. Our highly skilled team … best practices, ensuring delivery of scalable and efficient solutions. Define high-value business scenarios that can benefit from AI solutions (Machine Learning and Gen AI). Explore and analyse data from various sources and formats using tools such as Microsoft Fabric, Azure Databricks, Azure Synapse Analytics, and Azure Machine Learning Implement data pipelines and workflows to automate and … ensuring that coding, security and CI/CD best practices are followed. Communicate and present findings and recommendations to stakeholders and customers using tools such as Power BI, Azure Data Explorer, and Azure AI Services. Qualifications Key Competencies Demonstrable experience in data science, machine learning, or a related field. Proficiency in Python, SQL, or other programming languages More ❯

s why good things happen when you meerkat. We’d love you to be part of our journey. As a Machine Learning Engineer, you will be working closely with data scientists and wide range of business and tech stakeholders with varying levels of understanding towards Machine Learning, and will identify the tech requirements to productionise automated, scalable and stable … makes you great for this role. Some of the great things you’ll be doing: Develop, maintain, monitor (health & performance) and optimise integrated Machine Learning products Work closely with Data Engineering, Platform and Architecture teams to improve and develop new products, integrations, tools and technologies Work with data scientists to productionise various ML models, making sure the code … standards Follow best practice for the management and interrogation of large scale ‘structured’ and ‘unstructured’ datasets (million+ rows with thousand+ features, policy documents, etc) Enable the collection of new data and the refinement of existing data sources. Help manage day to day operations of the Data Science & Analytics platform (Databricks), and other ML Solutions built & operated More ❯

Job Title: Machine Learning Engineer Location: London (1 days per week onsite) – Flexible Salary: £45,000 DOE + Benefits Our Data Analytics business continues to grow and we are now looking for an experienced and technical Machine Learning (ML) Engineer to join one our offices with hybrid or remote UK working. This is an exciting role and would most … 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 ❯

Job Title: Machine Learning Engineer Location: London (1 days per week onsite) - Flexible Salary: £45,000 DOE + Benefits Our Data Analytics business continues to grow and we are now looking for an experienced and technical Machine Learning (ML) Engineer to join one our offices with hybrid or remote UK working. This is an exciting role and would most … 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 ❯

Job Title: Machine Learning Engineer Location: London (1 days per week onsite) - FlexibleSalary: £45,000 DOE + Benefits Our Data Analytics business continues to grow and we are now looking for an experienced and technical Machine Learning (ML) Engineer to join one our offices with hybrid or remote UK working. This is an exciting role and would most likely … 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 ❯

of this our success and help drive our limitless ambitions. About the role We are seeking a talented Lead Business Intelligence Analyst to join our Analytics team within the Data department. This role will have line management responsibilities, and will be responsible for leading the delivery of Business Intelligence across the company. The successful candidate will play a pivotal … role in ensuring that we have the right data, visualisations, insights, and analytics to support the growth of our business. As Lead BI Analyst you will Lead the development and delivery of our Business Intelligence strategy Develop and maintain key BI metrics, dashboards and reports that provide insights across Digital, Finance, Commercial, Supply Chain and other core areas Provide … the business, by imparting knowledge and/or upskilling colleagues on all that is possible through our tools Provide mentorship and coaching to the BI team Work closely with Data Engineering, Customer Insights Data Science and Product Management teams to ensure alignment and collaboration Manage relationships with key stakeholders across the business Who you will work with More ❯

to apply for the Senior Lead Software Engineer (Python) role at LSEG (London Stock Exchange Group) Role profile: Are you an experienced software engineer with a passion for productionising data science solutions? Do you want to build innovative solutions for financial markets and professionals by leading teams of brilliant, collaborative software engineers? If so, we’d love to … maintain robust and clean code. Mentor and guide engineers across skill levels, with your collaborative and growth-focused team culture while ensuring high-quality code practices. Collaborate closely with Data Science and software engineering teams to define project requirements, set technical direction, and establish development roadmaps. What you'll bring: Essential skills: Extensive experience in software engineering with … Working knowledge of DevOps practices, including CI/CD pipelines, automated testing, and monitoring, to streamline development workflows and improve deployment reliability. Education Bachelor’s degree in Engineering, Computer Science, Data Science, Statistics, Mathematics, Physics or related field, or equivalent work experience What you’ll get in return: High-impact projects: We work on a variety of More ❯

and experience that a successful applicant will need are listed in the following description. Location: London (1 days per week onsite) - Flexible Salary: 45,000 DOE + Benefits Our Data Analytics business continues to grow and we are now looking for an experienced and technical Machine Learning (ML) Engineer to join one our offices with hybrid or remote UK … 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 ❯

VOLUNTEERING ROLE Role Nature: Volunteer Location: Home-based The Blockchain & Climate Institute (BCI) is an international volunteers-led think tank supporting and advocating the application of blockchain and other data technologies in the global fight against climate change. THIS IS AN UNPAID VOLUNTEERING ROLE Role Title: Principal Technology Officer (PTO) – Distributed Ledger Technology (DLT) Role Nature: Volunteer Location: Home … based The Blockchain & Climate Institute (BCI) is an international volunteers-led think tank supporting and advocating the application of blockchain and other data technologies in the global fight against climate change. What will you be doing? We are looking for a passionate VOLUNTEER who takes a methodological approach to their work, conducts independent research and analysis, engages with key … provide strategic and technical leadership for DLT/Blockchain technology across all BCI projects. You will oversee and implement DLT/Blockchain technology (in combination with AI, Machine Learning, Data Science, Data Modelling and associated tooling) for technology research, standards and climate action. You will perform research, onboard and train other team members, execute proof of concepts More ❯

We are seeking a highly skilled ML Ops Engineer to join our growing data team. This role is critical in designing and implementing robust, scalable, and efficient data systems that power analytics, machine learning models, and business insights. The ideal candidate will have expertise in data pipeline orchestration (e.g., Airflow), data lake and warehouse architecture and … development, infrastructure as code (IaC) using Terraform , and data extraction from both structured and unstructured data sources (e.g. websites). Knowledge using the Microsoft Azure ecosystem, MLOps, Kubernetes , and other modern data engineering practices. Core Responsibilities Data Architecture & Development: Devesign and implement scalable, secure, and high-performance data lake and data warehouse solutions. Lerage … best practices in schema design, partitioning, and optimisation for efficient storage and retrieval. Build and maintain data models to support analytics and machine learning workflows. Pipeline Orchestration: Develop, monitor, and optimize ETL/ELT workflows using Apache Airflow. Ensure data pipelines are robust, error-tolerant, and scalable for real-time and batch processing. Data Scraping & Unstructured Data More ❯

will be responsible for developing, implementing, and optimizing Computer Vision models that empower our retail automation solutions. Your expertise will play a crucial role in transforming images into structured data and driving product enhancements that meet our client's needs. We are committed to democratising Computer Vision in the retail space, and your contributions will directly influence the impact … of our solutions across various sectors. Responsibilities Model Development: Design, build, and deploy Large Vision Models (LVMs) for applications focused on enhancing customer experience, workforce efficiencies, and product performance Data Preparation: Collaborate with data engineers to collect, preprocess, and curate large visual datasets required for training models, ensuring high-quality data pipelines Algorithm Optimization: Iterate on model … advances in machine learning and computer vision. Drive innovation by applying new techniques and methods to our projects Requirements Educational Background: Master's degree or equivalent experience in Computer Science, Data Science, or a related field with a strong focus on machine learning Professional Experience: 5+ years of hands-on experience deploying Computer Vision models in production More ❯

at Lloyd's (Syndicate 1856) underwriting a diverse range of Property, Commercial and Speciality (re)insurance products from Cargo and Marine to Political Violence, Terror and War. We combine data, intelligent automation and human expertise to make smart decisions, fast. ERS is the UK's largest specialist motor insurer with an A+ rating. We recognise that for some, motor … critical leader within the pricing function. Key responsibilities Technical Pricing Infrastructure & Capability Building: Architect and implement a state-of-the-art pricing technology platform for syndicate 1856 Design scalable data pipelines and analytical frameworks to support complex pricing models Collaborate closely with IT teams to deliver robust, automated pricing solutions Establish technical standards and best practices for pricing model … and reporting capabilities Design calculation engines for Risk Prices and Market prices with flexible loadings Build bespoke analytical tools to support underwriting decision-making Cross-Functional Collaboration: Partner with Data teams to ensure optimal data architecture and quality Work closely with Divisional Actuaries to share insights and align methodologies Collaborate with underwriters to translate business requirements into technical More ❯

software applications using Python and SQL. Design and implement user interfaces using modern JS frameworks (e.g. React, Angular, or Vue.js). Build and maintain ETL/ELT pipelines and data models within data warehouses, an example pipeline being ingesting data from multiple Cyber Intelligence vendors. Architect and implement cloud-based solutions on AWS, ensuring scalability, reliability, and … practices in software engineering, cloud computing, and Cybersecurity. Add to a team culture of diversity, equity, inclusion, and respect. Required qualifications, capabilities, and skills Bachelor's degree in Computer Science, Engineering, or a related field and/or proven work experience as a Software Engineer, preferably in a cloud-based environment. 5+ years of work-related experience in a … Experience developing software engineering solutions for workflow automation. Strong proficiency in Python, with a deep understanding of object-oriented programming principles. Strong proficiency in SQL, with experience of building data pipelines, data models, and data transformation within data warehouses, knowledge of tools such as DBT is desired. Experience with front-end technologies, such as HTML5, CSS3 More ❯

software applications using Python and SQL. Design and implement user interfaces using modern JS frameworks (e.g. React, Angular, or Vue.js). Build and maintain ETL/ELT pipelines and data models within data warehouses, an example pipeline being ingesting data from multiple Cyber Intelligence vendors. Architect and implement cloud-based solutions on AWS, ensuring scalability, reliability, and … practices in software engineering, cloud computing, and Cybersecurity. Add to a team culture of diversity, equity, inclusion, and respect. Required qualifications, capabilities, and skills Bachelor's degree in Computer Science, Engineering, or a related field and/or proven work experience as a Software Engineer, preferably in a cloud-based environment. 5+ years of work-related experience in a … Experience developing software engineering solutions for workflow automation. Strong proficiency in Python, with a deep understanding of object-oriented programming principles. Strong proficiency in SQL, with experience of building data pipelines, data models, and data transformation within data warehouses, knowledge of tools such as DBT is desired. Experience with front-end technologies, such as HTML5, CSS3 More ❯

Company You'll Join At Qloo, we believe that understanding consumer preferences is the key to creating meaningful experiences. Our cutting-edge Taste AI technology analyzes vast amounts of data-over half a billion records spanning public figures, places, and cultural entities-to uncover deep insights into what people love. To brands connect with their ideal customers, Qloo sifts … matter. And we do it without relying on personally identifiable information . Qloo is committed to privacy, ensuring that our insights are derived solely from anonymized cultural and behavioral data, never personally identifiable information. Following our Series C funding, we're growing our team to expand our reach and continue redefining what's possible with Taste AI. This role … meet you. The impact you'll have: As an ML Scientist at Qloo, you will play a crucial role in developing and implementing cutting-edge machine learning models and data-driven solutions. You will collaborate with cross-functional teams and work on a diverse range of projects, from data exploration and model development to the deployment and monitoring More ❯

on collaboration, innovation, and a passion for driving impactful change. About the Team You’ll report directly to the Head of Development and be part of our highly skilled data platform engineering team. Together, we are building a secure, scalable, and efficient data platform to empower Axpo’s decentralized business hubs with self-service analytics and AI capabilities. … stakeholders across Europe, bringing together global innovation and local context. What You Will Do As a Databricks Solution Architect, you will play a pivotal role in Axpo’s enterprise data transformation by designing and governing scalable and secure solutions on the Databricks Lakehouse platform. You will: Define architecture standards and patterns for Databricks-based solutions across ingestion, processing, and … analytics. Lead the design of performant, secure, and cost-effective Lakehouse architectures aligned with enterprise needs. Collaborate with business stakeholders, engineers, and data scientists to design end-to-end solutions that enable innovation and data-driven decision making. Guide engineering teams on implementing best practices around data modeling, orchestration, CI/CD, and infrastructure-as-code. Promote More ❯

software applications using Python and SQL. Design and implement user interfaces using modern JS frameworks (e.g. React, Angular, or Vue.js). Build and maintain ETL/ELT pipelines and data models within data warehouses, an example pipeline being ingesting data from multiple Cyber Intelligence vendors. Architect and implement cloud-based solutions on AWS, ensuring scalability, reliability, and … practices in software engineering, cloud computing, and Cybersecurity. Add to a team culture of diversity, equity, inclusion, and respect. Required Qualifications, Capabilities, And Skills Bachelor's degree in Computer Science, Engineering, or a related field and/or proven work experience as a Software Engineer, preferably in a cloud-based environment. 5+ years of work-related experience in a … Experience developing software engineering solutions for workflow automation. Strong proficiency in Python, with a deep understanding of object-oriented programming principles. Strong proficiency in SQL, with experience of building data pipelines, data models, and data transformation within data warehouses, knowledge of tools such as DBT is desired. Experience with front-end technologies, such as HTML5, CSS3 More ❯

Our platform simplifies all administrative tasks, allowing entrepreneurs and small business owners to manage their business admin effortlessly and without the usual complexities. By harnessing cutting-edge technology and data analytics, coupled with outstanding customer service, we provide a seamless experience that emphasises simplicity, efficiency, and rapid execution. Our goal is to remove obstacles, enabling you to achieve success … fostering a collaborative learning environment. API Development: Design and build RESTful API endpoints using NodeJS and Express, including detailed API documentation. Database Management: Design, optimize, and maintain complex SQL data models, ensuring efficient data structures, query performance, and reliability. Full-Stack Development: Develop responsive and performant front-end applications using ReactJS, focusing on UX/UI best practices. … quality solutions on schedule. Continuous Improvement: Stay ahead of industry trends, introducing innovative tools and technologies to enhance development efficiency. Qualifications and Key Skills Education: Bachelor’s in Computer Science or related field from a Tier 1 university. Experience: Minimum of 4 years of full-time professional experience in software development, with strong expertise in TypeScript, ReactJS, and Next.JS. More ❯

Our platform simplifies all administrative tasks, allowing entrepreneurs and small business owners to manage their business admin effortlessly and without the usual complexities. By harnessing cutting-edge technology and data analytics, coupled with outstanding customer service, we provide a seamless experience that emphasises simplicity, efficiency, and rapid execution. Our goal is to remove obstacles, enabling you to achieve success … fostering a collaborative learning environment. API Development: Design and build RESTful API endpoints using NodeJS and Express, including detailed API documentation. Database Management: Design, optimize, and maintain complex SQL data models, ensuring efficient data structures, query performance, and reliability. Full-Stack Development: Develop responsive and performant front-end applications using ReactJS, focusing on UX/UI best practices. … quality solutions on schedule. Continuous Improvement: Stay ahead of industry trends, introducing innovative tools and technologies to enhance development efficiency. Qualifications and Key Skills Education: Bachelor’s in Computer Science or related field from a Tier 1 university. Experience: Minimum of 4 years of full-time professional experience in software development, with strong expertise in TypeScript, ReactJS, and Next.JS. More ❯

customers. Epsilon provides comprehensive and high-quality IT support to WAPA in the areas of; Software maintenance and development, Network, Database, and Operations Support/Management, Supervisory Control and Data Acquisition (SCADA), Cyber-Security, Solution Architecture, and Project Management. An average day: As Business Intelligence Developer III, you will support enterprise-wide reporting solutions using Microsoft Power BI, SAP … BusinessObjects, and Crystal Reports. This role involves report and dashboard development, ETL monitoring, performance optimization, and troubleshooting, working closely with end users to enhance reporting capabilities and ensure data-driven decision-making. In this position you will: Develop, optimize, and maintain reports and dashboards in Power BI, SAP BusinessObjects, and Crystal Reports, ensuring high performance and data accuracy. … Monitor, troubleshoot, and optimize ETL processes to ensure timely and accurate data flow into reporting environments. Gather and analyze business requirements to design scalable, efficient reporting solutions that align with organizational needs. Perform data modeling and develop optimized datasets to support advanced analytics and reporting performance. Create intuitive data visualizations that enhance interpretability and drive business insights More ❯

customers. Epsilon provides comprehensive and high-quality IT support to WAPA in the areas of; Software maintenance and development, Network, Database, and Operations Support/Management, Supervisory Control and Data Acquisition (SCADA), Cyber-Security, Solution Architecture, and Project Management. An average day: As Business Intelligence Developer III, you will support enterprise-wide reporting solutions using Microsoft Power BI, SAP … BusinessObjects, and Crystal Reports. This role involves report and dashboard development, ETL monitoring, performance optimization, and troubleshooting, working closely with end users to enhance reporting capabilities and ensure data-driven decision-making. In this position you will: Develop, optimize, and maintain reports and dashboards in Power BI, SAP BusinessObjects, and Crystal Reports, ensuring high performance and data accuracy. … Monitor, troubleshoot, and optimize ETL processes to ensure timely and accurate data flow into reporting environments. Gather and analyze business requirements to design scalable, efficient reporting solutions that align with organizational needs. Perform data modeling and develop optimized datasets to support advanced analytics and reporting performance. Create intuitive data visualizations that enhance interpretability and drive business insights More ❯