901 to 925 of 3,244 Permanent Data Science Jobs

re not about selling products - we want to solve problems and change lives through Monzo ️ Analytics Engineering at Monzo We have around 50 Analytics Engineers out of roughly 200 data practitioners in total - and we have big ambitions for the discipline. Analytics Engineering is at the core of how we build our data to enable Monzo to make … better and faster decisions by having a performant, scalable and high quality data warehouse. As an Analytics Engineer here you'll be working collaboratively with other disciplines like product, engineering and data science, and we run regular knowledge-sharing sessions so you'll learn loads about everything from our data modelling principles to how banks work … and effective communication. What you'll be working on: The Analytics Engineering team is responsible for building downstream data models from backend services with the desire to make our Data Warehouse a genuine competitive advantage for Monzo. We want a discipline capable of building an amazing Data Warehouse to support decision making, Business Intelligence, key financial reconciliation More ❯

re not about selling products - we want to solve problems and change lives through Monzo ️ Analytics Engineering at Monzo We have around 50 Analytics Engineers out of roughly 200 data practitioners in total - and we have big ambitions for the discipline. Analytics Engineering is at the core of how we build our data to enable Monzo to make … better and faster decisions by having a performant, scalable and high quality data warehouse. As an Analytics Engineer here you'll be working collaboratively with other disciplines like product, engineering and data science, and we run regular knowledge-sharing sessions so you'll learn loads about everything from our data modelling principles to how banks work … and effective communication. What you'll be working on: The Analytics Engineering team is responsible for building downstream data models from backend services with the desire to make our Data Warehouse a genuine competitive advantage for Monzo. We want a discipline capable of building an amazing Data Warehouse to support decision making, Business Intelligence, key financial reconciliation More ❯

learning opportunities, a supportive community which is proud to serve our mission, and comprehensive benefits. Your Mission You will be part of a joint team of machine learning engineers, data scientists, data analysts, and product managers building and evolving ML models, real-time systems, reports, and performing deep analysis of pricing, retention, and offer strategies. Working with advanced … scalable software systems, you will implement and evolve intelligent solutions to align Teya with the success of our customers. In this role, you'll be: Helping Teya to use data to drive business decisions by implementing and continuously improving through experimentation advanced machine learning models. Working on projects including but not limited to customer lifetime value, churn propensity, forecasting … and cost-to-acquire modelling Building predictive models to a production level adopting best practices for coding, deployment, monitoring, and experimentation. Your Story Background in a quantitative field (Computer Science, Mathematics, Machine Learning, AI, Statistics, Economics or equivalent) 5+ years of professional working experience Someone who thrives in the incremental delivery of high quality production systems Proficiency in Java More ❯

About Neo4j: Neo4j is the leader in Graph Database & Analytics, helping organizations uncover hidden patterns and relationships across billions of data connections deeply, easily, and quickly. Customers use Neo4j to gain a deeper understanding of their business and reveal new ways of solving their most pressing problems. Over 84% of Fortune 100 companies use Neo4j, along with a vibrant … community of 250,000+ developers, data scientists, and architects across the globe. At Neo4j, we're proud to build the technology that powers breakthrough solutions for our customers. These solutions have helped NASA get to Mars two years earlier, broke the Panama Papers for the ICIJ, and are helping Transport for London to cut congestion by 10% and save … always strived to help the world make sense of data. As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we're disrupting how organizations leverage their data to innovate and stay competitive. Job Overview: A Senior More ❯

Program Management leading R & D efforts and developing concepts for t rus ted autonomous systems, artifi cia l intelligence, machine learning, or autonomy algorithms Experience with AI, federated learning, data fusion, tracking, modern and classical control, or sensor resource management autonomy algorithms Experience leading multidisciplinary, hybrid , and remote development teams on te chn ical projects, such as AI/… MLOps, CI/CD systems, and asso cia ted development philosophies Experience with implementation of unsupervised, supervised, or reinforcement learning approaches Doctorate degree in Electrical Engineering, Physics, Mathematics, Computer Science, Computer Engineering, Data Science, or Sof tware Engineering Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access More ❯

practices for maintaining AI/ML software packages on cloud systems Enable the effective deployment of off-the-shelf technologies with enhancements to meet each unique client need Ensure data processing, storage, and retrieval operations are effectively implemented and in accordance with client security guidelines Identify and make recommendations to close or avoid software or infrastructure technical security issues … and public clouds Understanding of and experience with the five pillars of a well-architected framework Experience in several of the following areas: database architecture, ETL, business intelligence, big data, machine learning, advanced analytics Proven ability to collaborate with multidisciplinary teams of business analysts, developers, data scientists, and subject-matter experts Knowledge of web services, API, REST, and … RPC AWS certification Requirements: Bachelor's degree (or equivalent) in computer science, information technology, or mathematics Pursuant to Executive Order 12968, August 2, 1995, this position requires U.S. citizenship Current U.S. government top secret clearance with eligibility for SCI and counterintelligence scope polygraph Ideal candidate will have experience in the Department of Defense or Intelligence Community. Salary Range More ❯

proactive customer-focused advocate, and a team player with BI and reporting experience. The ideal candidate is a motivated, detail-oriented individual who is equally comfortable with back end data structures and visualization and story-telling. A willingness to work through initial ambiguity and drive to tangible results is a must. Flexibility and a desire to continuously develop new … located in Chantilly, VA. Your future duties and responsibilities: Work with business partners to design and deliver a wide variety of BI/Analytic related solutions ranging from initial data acquisition through to end user content and reports. Perform analysis and document high level requirements, impact analyses, user stories and detailed functional specifications Create and maintain documentation related to … solution requirements, data flow diagrams, data taxonomy, business glossary and data lineage. Understand data from multiple viewpoints, from an enterprise perspective to a business unit perspective and managing it in such a way that it can be understood and leveraged across the organization. Define standardized data sets for consumption by data science teams More ❯

We are Ascent! and we help our customers solve problems, elevate, and do existing things better. We are on a mission to help our customers connect data, software, and purpose to create extraordinary outcomes. You could say we are a digital transformation business. We specialize in software product development, analytics, data science, IoT solutions, machine learning, DevOps … optimization, and modernization of applications, data, and platforms. We work with incredible clients in all types of industries such as smart home devices, space exploration, beer manufacturing, finance, ecology, and logistics. We work with some of the sharpest minds in the brightest businesses and we employ the sharpest minds too! At Ascent, we also believe in fostering a vibrant … Zones are you on? Could you please indicate your earliest availability to join our team following a prospective offer? (Notice Period). In Days. Do you consent for your data to be kept for a period of 12 months following this application process? This would allow us to reach out to you should we have similar roles in the More ❯

novel solutions to real-world problems. This really does vary but could be: creating chatbots to coach our users around their financial health, creating classifiers to better understand transaction data or even optimising transactions within our payments platform. Ultimately, we’re looking for a brilliant Principal Machine Learning Engineer to join us on our mission to fight for the … chatbot and app through deeper personalisation, creating a smarter & more engaging experience. Integrating our models with LLMs hosted by OpenAI, Anthropic, GCP, AWS. Working cross-functionally with backend engineers, data analysts, UX writers, product managers, and others to ship features that improve our users’ financial health. Driving the adoption of appropriate state-of-the-art techniques for recommendation, message … ML Engineers have taken part in over the last year: Designed and implemented AI agents to analyse and extract insights from users’ transactional data. Developed models to interpret transactional data, enhancing the understanding of users’ finances. Created contextual intent classifiers to understand user conversations with Cleo, enabling tailored and accurate platform responses. Engineered ML models to identify and deliver More ❯

Team: STR's Analytics Division develops novel solutions to the most challenging national security problems through advanced analytics. Our teams consist of motivated individuals with degrees in engineering, computer science, mathematics, physics, and data science. We use our expertise and creativity to take innovative ideas from conception to everyday use by our customers. The Decisions Systems (DS) Group … This position requires an Active Top Secret (TS) Security Clearance with SCI eligibility, for which U.S citizenship is needed by the US government BS, MS, or PhD in Computer Science or related technical field 3-5+ years of relevant experience depending on degree (BS + 5 years or MS + 3 years) Demonstrate expertise in Java and Object More ❯

Responsibilities Noblis-ESI is seeking a Knowledge Management professional with a background in Data Science, Artificial Intelligence (AI), and Machine Learning (ML) to support our client on-site in Chantilly, VA. Job Responsibilities: Develop and implement a comprehensive knowledge management strategy for the team to improve knowledge sharing, retention, and accessibility. Manage and configure SharePoint sites to ensure … with 4 years; Associate's degree with 8 years; OR High School diploma with 11 years of experience. Compensation: $107,100 - $167,325 Desired Qualifications A degree in STEM (Science, Technology, Engineering, or Mathematics) is preferred. Excellent organizational and project management skills. Strong analytical and problem-solving abilities. Effective communication and interpersonal skills. Ability to work independently and collaboratively More ❯

technology talent and puts them to work on client projects across the United States. We specialize in full stack development, Cloud, DevSecOps, Cybersecurity, Artificial Intelligence (AI), Business Intelligence (BI), Data Science, and Machine Learning (ML) related initiatives, both in the federal and commercial space. We are currently seeking a Sr. Kubernetes Engineer (DevSecOps) to support our Huntsville, AL … clearance during their employment. If required, there may be a requirement to obtain a Top Secret clearance. Education Requirements : Bachelor's or Master's degree in network engineering, computer science, cybersecurity, or a related field. Desired Skills : Experience with DoD cloud environments, including compliance and security requirements. AF FENCES experience strongly desired. Extensive experience with AWS & Azure, including cross More ❯

building LexisNexis IP's AI future. We expect this team to work across multiple technologies around a core, includingPython, AWS (EKS, S3, Lambda, CDK, etc.), AI/ML/Data Science libraries (LLM tooling, pandas, etc.) About Role: We are hiring several Software Engineers of differing levels to build AI capabilities through the delivery of AI-powered features … mission and your development practices and processes. Your engineering team will be mainly based in the UK and Germany. You will also work closely with an existing application team, data scientists, as well as with a broader range of stakeholders distributed across the UK, Germany, the Netherlands and the USA. Key Responsibilities: Researching the applicability of cutting-edge AI More ❯

Mission is Ours. The Lockheed Martin Space AI Talent Center is seeking a highly skilled DevSecOps/MLOps Engineer to join a cross-functional team of experts in research, data science, software development, physics, and mathematics. As a key member of this team, you will leverage cutting-edge AI/ML and DevSecOps tools and techniques to tackle More ❯

We are seeking a skilled Data Engineer to join our Data & Analytics team. In this role, you will design and build robust, scalable data pipelines and well-structured data models to support advanced analytics and Power BI dashboards. You will work with sales data from our stores and deliver high-quality, reliable datasets for business … stakeholders. Responsibilities: Design, develop, and maintain efficient and scalable data pipelines to ingest, transform, and load sales data. Build and optimize data models to power Power BI dashboards and analytics use cases. Collaborate with analysts, data scientists, and business teams to understand data requirements and translate them into technical solutions. Ensure high data quality, integrity … and performance across the entire pipeline lifecycle. Work within a modern data stack including Databricks, Azure Data Services, and Unity Catalog. Use Terraform to manage infrastructure as code and GitHub for version control and CI/CD workflows. Apply best practices in data engineering, including modular design, testing, and documentation. Required Skills and Qualifications: Proficient in Python More ❯

your recruiter to learn more. Base pay range Direct message the job poster from Synchro We are actively recruiting multiple KDB Developers at various levels for a fast-paced, data-driven organisation at the forefront of real-time analytics and high-performance computing. This organisation are a consultancy working with some of the leading names in the financial services … sector. The Role: As a KDB Developer, you will be responsible for designing, developing, and maintaining high-performance applications and data analytics solutions using kdb+/q. You’ll work closely with quants, traders, and data scientists to deliver scalable systems and actionable insights from large volumes of time-series data. Key Responsibilities: Design, implement, and optimise kdb+ …/q-based applications and data pipelines Work on real-time data ingestion, transformation, and analysis Collaborate with stakeholders to gather requirements and translate them into technical solutions Maintain and enhance existing codebases, ensuring high availability and performance Contribute to architectural decisions and best practices for kdb+ systems Troubleshoot and resolve production issues quickly and effectively Required Skills More ❯

around the world. You should be comfortable with ambiguity, enjoy building from scratch, and be able to tackle challenging issues efficiently. You thrive in triangulating insights with other quantitative data sources, such as experiment metrics, user logs, etc. and qualitative data inputs to tell compelling stories. As a part of the UX Researcher Team, you will be a … product and design teams, driving user-centered design and decision-making across the organization. You will deliver impactful research for major products or services, shaping our product strategy through data-driven insights. Key job responsibilities For this role we are looking for someone who can: Independently design and lead quant-focused UX research projects (survey design, implementation, statistical analysis … and qualitative insights and turn them into compelling narratives and actionable recommendations that drive product improvements and business strategy Build mechanisms for regularly communicating insights leveraging strong writing and data visualization skills Influence decision-makers at all levels to act on insights, driving customer delight and business objectives and deliver well-structured and insightful written reports Drive research goals More ❯

protect organizational assets and ensure the secure operation of AI and ML systems. • Develop and own robust enterprise security architecture for AI/ML systems, CI/CD and data pipelines. • Participate in enterprise-wide architecture initiatives for AI/ML. Understand the workflow and pipeline architectures of ML and deep learning workloads. • Conduct security risk assessments and threat … the testing of AI/ML models, LLM and development of trustworthiness, safety, fairness, bias and inappropriateness detection, as well as adversarial test specification, development, and execution. • Collaborate with data scientists, engineers, and other stakeholders to embed security controls and measures into AI/ML applications, models, algorithms, and data pipelines. • Define and enforce robust access controls, authentication … mechanisms, and encryption standards to safeguard AI/ML systems, training data, provenance, and any sensitive data. • Stay abreast of emerging AI security threats, trends, and technologies, evaluating their impact and proactively adapting security measures to mitigate potential risks. • Provide technical guidance and support to cross-functional teams during the design, development, and deployment of AI/ML systems More ❯

Implement BI solutions to meet the customers requirement Design and build Proof of Concept (PoC) Qlik Sense apps/Power BI reports Build user friendly, functional, attractive dashboards using data visualisation techniques Conduct training/workshops with customers Act as an escalation point for post go-live support issues Mentor junior members of the team where required Knowledge, Skills … Power BI/Microsoft Fabric and Qlik Sense would be preferred Strong demonstratable experience of developing, implementing and supporting solutions within Microsoft BI related products Knowledge of SQL querying Data warehousing and data modelling experience Data visualisation skills, using design flair to create attractive and functional dashboards Strong communication skills both written and verbal Analytical mindset and … strong problem-solving skills Qlik Administration/Power BI Administration/Windows Server administration experience would be preferred Understanding of cloud computing environments (Azure) Familiarisation with Azure Data Services/Azure Fundamentals Knowledge of HTML/CSS and JavaScript libraries would be preferred Benefits; 25 days annual leave + public holidays, rising with length of service Employee benefits trust More ❯

Implement BI solutions to meet the customers requirement Design and build Proof of Concept (PoC) Qlik Sense apps/Power BI reports Build user friendly, functional, attractive dashboards using data visualisation techniques Conduct training/workshops with customers Act as an escalation point for post go-live support issues Mentor junior members of the team where required Knowledge, Skills … Power BI/Microsoft Fabric and Qlik Sense would be preferred Strong demonstratable experience of developing, implementing and supporting solutions within Microsoft BI related products Knowledge of SQL querying Data warehousing and data modelling experience Data visualisation skills, using design flair to create attractive and functional dashboards Strong communication skills both written and verbal Analytical mindset and … strong problem-solving skills Qlik Administration/Power BI Administration/Windows Server administration experience would be preferred Understanding of cloud computing environments (Azure) Familiarisation with Azure Data Services/Azure Fundamentals Knowledge of HTML/CSS and JavaScript libraries would be preferred Benefits; 25 days annual leave + public holidays, rising with length of service Employee benefits trust More ❯

a working pattern that suits your lifestyle and helps you reach your ambitions. ML Ops Engineer Crawley Thales Group's global CortAIx initiative already employs over 600 AI and data specialists, being the first patent applicant in AI for critical systems in Europe with more than 200 patents filed to date. With more than 100 products integrating AI, the … an experienced ML Ops Engineer to work with our existing CortAIx team at our site in Crawley. Primary Purpose of the Role: To drive the evolution and deployment of Data and AI capabilities within the businesses and to our customers in order to increase growth in orders and increased customer satisfaction. As part of a newly established software development … team, the Factory AI/ML Ops Engineer will work with both the development team and the end user in Thales UK businesses. Supporting the Thales UK Digital and Data strategy the Software support engineer will; support the delivery software offerings into an internal catalogue of reusable/re-deployable capabilities focused around data and AI capabilities, helping More ❯

Data Science Consultant - Capital Markets Data Science Consultant role with Director progression in growing consulting firm Ideally located Central London Offices Leading on projects with Top Tier Investment banks & PE firms You'll lead project teams working with our Capital Markets clients on key business problems & data challenges. You'll be introduced to and will … lead all relationships from a Data perspective within our capital markets clients, and to be successful in this role you'll build strong relationships over time. Projects will be varied but could be anything from Data Modelling to address a specific business problem, Data Science & Machine Learning associated with electronic trading, statistical analysis of different financial … data sets, data transformation advisory and consulting. What we are looking for : Degree level academics in Quant topic: Maths, Stats, Science etc Track record of working on Data Science & Analysis projects ideally within Capital Markets, but open to individuals who have other aligned commercial experience You'll have a good knowledge of Python & associated libraries More ❯

Reporting to the General Manager - Data Science, our Data Science Manager will oversee multiple Data Science teams, ensuring the delivery of high-quality solutions while remaining hands-on and detail-oriented. The role involves collaborating with senior business stakeholders and data teams to promote and evolve working methods, building advanced and measurable analytics … and machine learning solutions that deliver tangible business value. As our Data Science Manager , you'll benefit from a range of perks including: Hybrid working (3 days in the office per week) Manager's bonus Annual pay reviews What you'll be doing: With proven experience managing Data Science teams and taking projects from concept to … production, you'll motivate teams to deliver high-quality Data Science, Machine Learning, and AI solutions aligned with the Roadmap. Your responsibilities include: Developing a deep understanding of the business areas your teams operate in and owning the proposed solution designs for key questions. Ensuring adherence to Data Science processes and ways of working, monitoring pod More ❯

Key Responsibilities: Lead the design and implementation of scalable data infrastructure for machine learning, analytics, and reporting. Develop and launch secure APIs and DaaS solutions. Deploy production-ready ML models and manage their lifecycle. Promote data governance and quality standards across the platform. Collaborate with cross-functional teams to translate business challenges into technical solutions. Tech Stack Includes … Python, SQL, Azure, Postgres, Langchain, Ollama, Polars, GitLab CI/CD, Systemd, Ansible Ideal Candidate Profile: Significant experience as a Data Science or ML Engineer, with leadership responsibilities. Strong Python skills and experience with cloud-based data platforms (preferably Azure). Proven success deploying ML models into production. Solid understanding of data privacy, governance, and API More ❯

Key Responsibilities: Lead the design and implementation of scalable data infrastructure for machine learning, analytics, and reporting. Develop and launch secure APIs and DaaS solutions. Deploy production-ready ML models and manage their lifecycle. Promote data governance and quality standards across the platform. Collaborate with cross-functional teams to translate business challenges into technical solutions. Tech Stack Includes … Python, SQL, Azure, Postgres, Langchain, Ollama, Polars, GitLab CI/CD, Systemd, Ansible Ideal Candidate Profile: Significant experience as a Data Science or ML Engineer, with leadership responsibilities. Strong Python skills and experience with cloud-based data platforms (preferably Azure). Proven success deploying ML models into production. Solid understanding of data privacy, governance, and API More ❯