826 to 850 of 3,162 Permanent Data Science Jobs

Figure Eight Federal (F8F): Leading the Future of AI Training Data Figure Eight Federal (F8F) provides accurate and reliable human annotated datasets that fuel AI and machine learning for some of the world's biggest brands. With more than 25 years of industry knowledge, F8F's technology powers many of the AI interactions we experience every day. Our solutions … critical skills and knowledge. This role is central to delivering high-quality, high-volume training datasets tailored for computer vision and geospatial intelligence (GEOINT) applications. Supervises between 100-130 data annotation specialists , coordinating production activities across structured pods that include analysts, data specialists, QC engineers, trainers, and tiered reviewers. Drives operational excellence in annotation job design , production management … quality control , and dataset delivery , while ensuring continuous alignment with customer goals and national security priorities. Required Qualifications: Bachelor's degree in geographic information science, computer vision, remote sensing, computer science or related fields. An associate's degree with a relevant GIS certification or 10+ years military imagery intelligence or 10+ years military geospatial analysis/engineering can More ❯

integral part of a small, agile, and growing business. Their team of analysts, consultants and Defence SMEs work closely with their customers to deliver high-impact services and solutions. Data science and operational analysis are a key part of the Company s capability. They are growing this capability and are looking for a highly motivated and capable Senior … analysis models. Using agile approaches to develop models and tools, including requirements capture, design, development, testing and management. Collating, managing, structuring, analysing and visualising data. Deriving unique insights from data to inform senior-level decision making. Taking a leading role in the day-to-day delivery of projects, working closely with our clients and our team of consultants and … main clients will be based around key UK Defence establishments in the south of England. Skills/Qualifications Senior Operational Analyst/Consultant: Software development using Python. Advanced Excel, Data analysis skills Advanced VBA skills Operational Analysis (OA) approaches and techniques Strong mathematical skills Requirements gathering Software design Strong data analysis skills Highly numerate A self-starter and More ❯

information discovery, integration and sharing of information. The Analyst shall define measures, metrics, dashboards and support analytical architecture necessary to monitor, manage and support sound decisions for the enterprise data environment. The Analyst shall analyze the business processes and develop models for subsequent use; develop data models in support of the various applications required. Further, the Analyst shall … review documented requirements and present specific design recommendations to address the business and data requirements in terms of viability and impact on existing and new processes. The Analyst shall identify required data elements; define associated metadata and sources to support these and any requirements. The Analyst must be able to communicate these requirements fluently to Government and other … to include but not limited to Security+ and Certified Business Intelligence Professional. The Business Objects Enterprise Analyst shall; Contribute to all technical aspects of building and maintaining Business Objects data warehouse Create technical specifications for data conversion of Discoverer and Oracle reports to BOE Interface with Data Modeler to build warehouse and tables for supplemental data More ❯

and reproducibility. Assist in creating technical documentation and presentations to communicate findings and progress to stakeholders. Ensure security best practices are integrated into the development lifecycle, including compliance with data protection regulations. Required Qualifications: Bachelor's degree in computer science, Data Science, Engineering or related field and 7 or more years of prior relevant experience. … be U.S. Citizens. In-depth knowledge of system architecture, design patterns, and best practices. Proficiency in cloud computing, distributed systems, and microservices architecture. Strong understanding of security, compliance, and data privacy standards. Excellent problem-solving skills and ability to navigate and adapt to complex technical challenges. Exceptional communication and presentation capabilities. Proficiency in programming languages such as Python, R … to multitask and prioritize effectively in a fast-paced, dynamic work environment. Enthusiasm for learning and adapting to new technologies and methodologies Preferred Qualifications: Master's degree in computer science, Data Science, Engineering or related field and 10 or more years of prior relevant experience. 10 or more years in systems architecture with leadership roles. Extremely strong More ❯

powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. About Us The Infrastructure Data & Analytics (ID&A) team at Amex unifies FinOps, Data Science and Business Intelligence to enable cost transparency, infrastructure performance optimization and commercial efficiency in Technology through high … quality data and predictive analytics. This team within Global Infrastructure aims to foster a culture of effective metrics, data-driven processes, architecture simplification, and cost awareness. We are a dynamic data science team within ID&A, focused on building cutting-edge solutions with Generative AI and advanced analytics. We are looking for a strong, data … negotiating with stakeholders to accelerate product development and balance competing interests. The individual will ensure timely execution following agile practices and manage risks & dependencies through appropriate agile ceremonies. Strong data analytics and leadership skills are essential to manage and prioritize requirements across customers, risk, and compliance functions. We expect you to elevate our standards with your passion for data More ❯

Location: Leeds City Centre + Hybrid Working Job Type: Full-time Team: Product Reports to: Head of Product Development About Us: We use data science and AI to help retailers make profitable pricing, marketing and retail media decisions. Put simply, we help retailers sell the right products, to the right people, for the right price. We offer a … Person: 2+ years of experience in a business intelligence development or related role Excellent SQL skills Good understanding of relational and analytical database architectures and methodologies Experience of cloud data warehousing solutions e.g. Snowflake, BigQuery, Redshift Good hands-on experience with at least one Business Intelligence platform Strong analytical and problem-solving skills Excellent communication skills, with the ability … to explain technical details to non-technical stakeholders Comfortable with occasional client interaction in a professional and supportive capacity Great UX & data visualisation skills The Role: Design, develop and maintain BI solutions including dashboards, reports and data models Produce visually engaging deliverables for consumption by retail clients Write complex SQL queries and scripts for data extraction and More ❯

follow our core principles to produce tools used by organizations across the energy transition to finance, build, benchmark, and operate battery energy storage systems. This role sits within our data science team, building trustworthy revenue projections across multiple geographies. Responsibilities: Sourcing, processing, analyzing, and interpreting large & complex datasets within our growing forecast offering. Developing our power market and … programming language e.g. R, C++, Java) and with the scientific computing stack (Numpy, Pandas, SciPy, ScikitLearn, etc.). A degree in a quantitative field such as mathematics, engineering, computer science, physics or a related discipline. Previous experience in energy modelling, with a specific focus on the GB and/or European power systems. Strong quantitative skills and a proven … track record of solving complex technical problems using data analysis, machine learning, and optimization techniques. Hands-on experience with cloud environments (e.g., AWS) for deploying data science models. Proven experience with optimisation using linear programming with a preference for Python-based implementations. Proven ability to produce data science models and insights that are directly delivered More ❯

Engineering Project Manager in APG, MD at the C5ISR Worldwide-defense-system Integration, Prototyping, and Security facility. In this role, you will rely upon your background in software/data engineering and expertise in project management. You will lead complex projects in a highly specialized and regulated environment to deliver cutting edge technology-based products that meet demand. Essential … Responsibilities Duties include, but are not limited to : Lead and manage a software engineering project from concept to implementation Collaborate with cross-functional teams (including software engineers, DoD-focused data scientists, cloud architects, DoD stakeholders, and industry experts) to define project scope, requirements, and deliverables Development and maintenance of project plans, schedules, and budgets, ensuring effective resource allocation and … key metrics and milestones to stakeholders, and ensure transparency and alignment throughout the organization Stay up-to-date with industry trends, best practices, and emerging technologies related to cloud, data platforms, data mesh, and DoD communications systems modernization, and provide recommendations for process improvements Ensure compliance with DoD regulations, security standards, and organizational policies throughout the project lifecycle More ❯

optimising all of our growth funnels. We want someone who is analytically precise, naturally curious, and gets their hands dirty - constantly seeking to optimise and improve our products through data-driven insights. This role sits at the intersection of analytics, product, growth, and SEO, making it perfect for someone who thrives on turning complex data into actionable strategies … opportunities and optimise user journeys Lead SEO analytics strategy - track organic performance, identify content gaps, and measure the impact of SEO initiatives on user acquisition Partner with our senior data analytics engineer to orchestrate data pipelines and create compelling, presentable insights for stakeholders Build and maintain dashboards that provide real-time visibility into key growth metrics and funnel … acquisition through retention and monetisation Skills & Experience Required Technical Expertise: Expert-level proficiency in Google Analytics (GA4), Mixpanel, BigQuery, Redshift, and advanced Google Sheets functions Strong SQL skills for data extraction, manipulation, and analysis Experience with data visualisation tools (Tableau, Looker, or similar) Familiarity with statistical analysis and A/B testing methodologies SEO & Growth: Deep knowledge and More ❯

with family and friends, through managing business relationships to pursuing their passions. As a Director in Analytics, you will work in a highly collaborative environment with extensive amounts of data to research and develop deep learning models to solve real-world problems and apply them to tasks such as identifying bad actors, preventing fraud, building anomaly detection models, and … and security teams to align, present, and implement end-to-end fraud solutions. Ensure adherence to KYC, AML, and other financial regulations while managing fraud risks. Leverage the extensive data received from our application to enhance model performance and accuracy. Requirements 7+ years of experience in hands-on working on spam and fraud problems at a scale of at … companies with a proven business impact. 3+ years of experience in Python, SQL, and AWS cloud. Ability to write readable and maintainable code. Master's degree in Statistics, Finance, Data Science, or Computer Science. Advantages Background in data science or cybersecurity with a focus on spam and fraud. Proven track record of reducing fraud and spam More ❯

the Machine-Assisted Rapid-Repository System (MARS), Object Management Services (OMS), and Object-Based Intelligence (OBI). • The Senior Computer Scientist (OBI Analytic Efficiency Enablement), Employs mathematics, statics, information science, artificial intelligence, machine learning, network science, probability modeling, data mining, data engineering, data warehousing, data compression, data protection, and/or other scientific … techniques to correlate complex, technical findings into graphical, written, visual and verbal narrative products on trends of existing intelligence data to leverage other IC data sources. • Develops and utilizes machine learning and data mining algorithms, including, but not limited to, Multiple Information Model Synthesis Architecture (MIMOSA) prediction algorithms based on open-source capabilities. Integrates or codes algorithms … to support Government intelligence search and discovery missions. • Makes best practice recommendations on managing data within hardware, software, storage, and bandwidth constraints. • Employs data science techniques to support predictive analysis, social media and crowd-source data analytics, wargaming, and strategy development. • Employs exploratory analysis and rapid iteration techniques of large volumes of data to quickly More ❯

the Multilingual team, you will play a crucial role in developing and enhancing our language models to support a wide range of languages. Your primary focus will be on data engineering tasks, including data collection, cleaning, and preparation, to ensure our models perform exceptionally across various linguistic contexts. You will work closely with our research scientists, machine learning … remote-friendly! Applicants for this role may work anywhere between UTC 06:00 and UTC:00. As a Member of Technical Staff for Multilingual you will: Design and implement data pipelines to process and prepare multilingual datasets. Collaborate with researchers to understand data requirements and model performance. Develop tools and scripts to automate data-related tasks and … improve efficiency. Ensure data quality and integrity through rigorous testing and validation. Stay updated on the latest advancements in multilingual data processing and contribute to the team's knowledge base. You may be a good fit if you have: A Bachelor's degree in Computer Science, Data Science, or a related field (Master's preferred More ❯

that meet organizational requirements and user needs. This position requires a high level of technical expertise, creativity, and problem-solving skills to support essential activities related to development and data science. Various locations within the National Capital Region including but not limited to DIA Headquarters, the Pentagon, Charlottesville, VA; Marine Corps Base Quantico, VA; Crystal City, VA; other DIA … capability. LMI advances the pace of progress, enabling our customers to thrive while adapting to evolving Responsibilities Responsibilities: Support development team tasked with replacing legacy web application and underlying data architecture for finished intelligence discovery. Develop, test, and deploy applications using modern programming languages and frameworks, for both front-end and back-end development. Conduct technical and industrial research … into solutions Experience using version control with Gitlab or GitHub Proficient in relational and non-relational databases, including Oracle, SQL Server, MySQL, Dynamo, Postgres, MongoDB, etc., including schema design, data definition, and advanced queries. Experience working with a cloud provider (AWS/Azure/Google Cloud) or in-house data centers. Active TS/SCI clearance, polygraph preferred. More ❯

s leading fintech innovators. But we're just getting started. Our mission? To empower one million businesses with the financial tools they deserve. We combine cutting-edge technology and data science with genuine human understanding to make finance feel less like a barrier and more like a superpower. Whether it's managing cash flow or seizing unexpected opportunities … directly impacts thousands of businesses' ability to grow and succeed. We operate as a fully autonomous unit, bringing together specialists in back-end and front-end development, product management, data science, and analytics. This diversity of expertise allows us to tackle challenges from every angle, move fast, and deliver solutions that truly work for our customers. The role … user journeys, drive customer satisfaction and business outcomes. Analytics excellence: Develop experiments to test new product concepts, iterating based on customer feedback and performance data. Build custom tools and data pipelines to investigate complex topics and enable the wider team to monitor the performance of products post-launch, using insights to inform future improvements. Combine quantitative data and More ❯

The Software Engineer will run build and work on enterprise grade software systems using a modern tech stack including PySpark with Databricks for data engineering tasks, infrastructure as code with AWS CDK and GraphQL. As a Software Engineer, you are expected to work with architects to design clean decoupled solutions; create automated tests in support of continuous delivery; adopt … a culture of continuous improvement and delivery and engage in peer review of code across the team. You will work closely with Business Analysts and Software QA Engineers and Data Scientists to deliver high quality software. You are encouraged to be actively involved in the DevOps processes and take responsibility for the code and infrastructure you deploy. The successful … keen desire to keep on top of the ever-updating tech curve, and a drive to continuously hone their craft. The successful candidate should have experience working on big data solutions, with an understanding of developing complex enterprise data ETL pipelines and projections. PRINCIPAL RESPONSIBILITIES Adhere to development standards defined by your team leader to ensure you write More ❯

Managing a portfolio of accounts and being the dedicated point of contact . You will: Lead and mentor a team of 6+ Tech Leads overseeing product engineering squads delivering data-centric products Provide strategic guidance , coaching, and professional development opportunities for engineering managers to empower their teams and deliver results Establish and maintain a high-performance culture focused on … innovation, and continuous improvement Foster a culture of mentorship and leadership development, identifying and nurturing talents Drive the recruitment, retention, and development of top-tier engineering talent within the data engineering team Define and drive the overall data platform strategy with a focus on Azure Cloud to ensure that the organisation's data infrastructure is scalable, reliable … and aligned with business objectives Oversee the design, implementation, and ongoing optimization of the data platform, leveraging Azure technologies such as Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, and Azure SQL Database Ensure the data platform supports data engineering, analytics, and data science initiatives across squads Ensure the data platform More ❯

a skilled QlikView Developer to design, develop, and maintain QlikView applications that support strategic decision-making. The ideal candidate will have strong experience in QlikView scripting, dashboard creation, and data integration from multiple sources. You'll collaborate with stakeholders to translate business needs into technical solutions and ensure high performance and reliability across all QlikView deployments. As a QlikView … Developer, you will: Evolve Extract, Transform, Load (ETL) pipelines of structured and unstructured data from a verity of disparate sources to meet the needs of an advanced Insider Threat program. Design analytical visualizations via custom dashboards through a collaborative process with Data Science and Analysis staff. Participate in all steps of the continuous development lifecycle - including design … and senior leadership. Work with the design team and product management to implement innovative analytic and visualization approaches to solve real-world threat problems. Required Qualifications QlikView scripting and data modeling: Ability to build QVDs and QVWs, optimize load scripts, and manage data transformations. Dashboard development: Experience designing interactive dashboards that translate complex data into actionable insights. More ❯

Senior UI/UX Dev- This is a high priority role to fill. Education and Skills Required: 10 years of experience in any relevant workroles, software engineer, data scientist, product designer Bachelor's in relevant area can count for 3 years and Masters can count for 2 years Experience collaborating with data science teams and end users … to develop, update and maintain web-based UI's supporting large data analytics projects This position requires comfort interacting directly with multiple users to collect and integrate feedback into UI/UX design. Develop UI's with image, time-series, map visualizations and various user input methods including free text entry Connect Oracle databases and API's to read More ❯

policies, and procedures to optimize the capture, storage, and dissemination of organizational knowledge Collaborate with cross-functional teams to identify knowledge gaps and develop solutions to address them Leverage data science, AI, and ML techniques to enhance knowledge management practices, including data analysis, predictive modeling, and natural language processing Develop and maintain machine learning models to automate … improve knowledge management processes and tools based on feedback and evolving organizational needs Qualifications Required: Entry-Level: 0-3 years of experience with a Bachelor's in Technology, Computer Science, Engineering, Business, or a related field OR 7 years of related experience with a High School Diploma/GED OR 5 years of related experience with an Associate degree … Intermediate-Level: 4-7 years of experience with a Master's in Technology, Computer Science, Engineering, Business, or a related field OR 10 years of related experience with a High School Diploma/GED OR 8 years of related experience with an Associate degree OR 6 years of related experience with a Bachelor's degree Senior-Level: 8+ years More ❯

People Officer. Currently, the team is seeking a People Systems Analyst to focus on building Power BI skills and a consultative mindset to support the HR team in leveraging data to drive strategic future decisions. The ideal candidate will be experienced in HR systems, reporting, and analytics, and have a proven ability to translate data insights into actionable … recommendations for stakeholders across the business. Responsibilities: Power BI Reporting & Dashboarding Design, develop, and maintain interactive Power BI dashboards and reports focused on workforce data, DEI, engagement, turnover, and other people metrics. Ensure data integrity and consistency by creating robust data models and using Power Query effectively. Automate reporting processes and create scalable solutions for recurring data needs. HR Systems & Data Management Work with HRIS (e.g., Workday, SAP SuccessFactors, Oracle HCM, etc.) to extract and manipulate data for reporting and analysis. Collaborate with IT and HR teams to ensure seamless integration between systems and data pipelines. Support system upgrades, testing, and data governance efforts as needed. Advisory & Stakeholder Engagement Act as a More ❯

People Officer. Currently, the team is seeking a People Systems Analyst to focus on building Power BI skills and a consultative mindset to support the HR team in leveraging data to drive strategic future decisions. The ideal candidate will be experienced in HR systems, reporting, and analytics, and have a proven ability to translate data insights into actionable … recommendations for stakeholders across the business. Responsibilities: Power BI Reporting & Dashboarding Design, develop, and maintain interactive Power BI dashboards and reports focused on workforce data, DEI, engagement, turnover, and other people metrics. Ensure data integrity and consistency by creating robust data models and using Power Query effectively. Automate reporting processes and create scalable solutions for recurring data needs. HR Systems & Data Management Work with HRIS (e.g., Workday, SAP SuccessFactors, Oracle HCM, etc.) to extract and manipulate data for reporting and analysis. Collaborate with IT and HR teams to ensure seamless integration between systems and data pipelines. Support system upgrades, testing, and data governance efforts as needed. Advisory & Stakeholder Engagement Act as a More ❯

s leading fintech innovators. But we're just getting started. Our mission? To empower one million businesses with the financial tools they deserve. We combine cutting-edge technology and data science with genuine human understanding to make finance feel less like a barrier and more like a superpower. Whether it's managing cash flow or seizing unexpected opportunities … directly impacts thousands of businesses' ability to grow and succeed. We operate as a fully autonomous unit, bringing together specialists in back-end and front-end development, product management, data science, and analytics. This diversity of expertise allows us to tackle challenges from every angle, move fast, and deliver solutions that truly work for our customers. The role … user journeys, drive customer satisfaction and business outcomes. Analytics leadership: Lead experiments to test new product concepts, iterating based on customer feedback and performance data. Build custom tools and data pipelines to investigate complex topics and enable the wider team to monitor the performance of products post-launch, using insights to inform future improvements. Combine quantitative data and More ❯

DEPT/AI has a single mission: to make the best work in the industry using AI to enhance everything we do. This role sits within our EMEA Data & AI practice, which has deep expertise in leveraging AI. The team includes data strategists, consultants, data scientists and analysts that work alongside DEPT teams around the world across … best loved brands in the world - and doing this alongside an experienced team. JOB PURPOSE We are seeking a talented and passionate AI Workflow Engineer to join our growing Data Science & AI team. As an AI Workflow Engineer, you will be responsible for building innovative proof-of-concepts (POCs) and collaborate with our product teams to convert them … using MCP or alternative protocols. Perform statistical analysis including A/B testing, causal inference, and experimental design to build the business case of POC's Work closely with data engineers, media consultants and clients to ensure seamless integration of your solution to create business impact Translate business requirements into technical workflow specifications Conduct demos and training sessions to More ❯

the broader IFS community and participate in its intellectual life. The ideal candidate will be proficient in natural language processing techniques relevant for extracting structured information from unstructured text data, including associated applied machine learning and AI tools. The RA will also collaborate in implementing econometric models that use the skill measures to explore the core economic questions. Funding … participate in events and seminars; and collaborate with a range of research and policy partners. This is a fantastic opportunity to develop research and analytical skills, work with diverse data sources and teams, learn about real-life research work and contribute towards building the evidence base on the effectiveness of public policies on youth development. The Research Assistant will … be responsible for: Implementing algorithms for extracting a structured database of skills from large, unstructured databases of online job postings; Cleaning, organising, and documenting secondary data ready for analysis; Replicating existing analyses, with guidance from the study leads; Developing new analyses data, with guidance from the study leads; Assisting in drafting academic papers, reports, and policy briefs; Contributing More ❯

a hybrid role for a hands-on engineering leader-someone who can lead people, deliver at pace, and contribute to system design and platform standards. You'll partner with data science, analytics, and platform engineering teams to accelerate how AI is developed and deployed across the organisation. Everyone is welcome! We have a culture of creativity. We approach … are delivered on time and to a high standard • Support the development of real-time and batch ML workflows across a variety of business use cases • Collaborate closely with data scientists to move prototypes into high-quality production systems Platform & Engineering Standards • Contribute to the design and evolution of our internal ML platform and tooling • Champion best practices in … frameworks, libraries, and deployment pipelines Strategy & Cross-Functional Collaboration • Work with technical and product leads to align team roadmaps to business goals • Identify and unblock cross-team dependencies involving data science, platform, and software engineering • Help shape platform direction by feeding back requirements from applied ML delivery People & Culture • Line manage and mentor MLEs, supporting their career development More ❯