476 to 500 of 2,608 Permanent Data Science Jobs

stop learning. But most importantly, we are on this journey together. How You'll Contribute You'll report into the Tech Lead and will take ownership of the existing data analytics solution. You will drive the evolution of this critical piece of our decision making capability so that it remains efficient, fit for purpose and scalable. As we build … informed and timely decisions is critical to our success. Kroo Bank's engineering and products teams are clustered around our main banking products - Accounts, Lending, Overdrafts and so on. Data Analytics works across all these products and other business areas like Finance and Operations to deliver business intelligence. You will work on: Design and build a company wide data model. Build and maintain an effective data stack, empowering all parts of the business to make timely effective decisions. Collaborate with stakeholders and design analytic solutions to be applied across the business. Oversee the collection, storage, management, quality, and protection of data. Extensive experience wrangling raw datasets into published data for analytic use cases: MI, BI or More ❯

frog is part of Capgemini Invent. frog partners with customer-centric enterprises to drive sustainable growth, by building and orchestrating experiences at scale, while harnessing the power of data and technology. We're inventing the future of customer experiences by delivering market-defining business models, products, services, brand engagements and communications. Joining frog means you'll be joining the … possess domain knowledge in marketing, customer, digital, and commercial sectors. Additionally, the candidate should have strong project management and people management skills. What We Look For Previous experience in data science, with proven experience in Generative AI and LLM development and evaluation. Hands-on experience in customer behaviour analytics, marketing, commercial, web, or product analytics with core focus … solutions and Large Language Models (LLMs) for various use cases. Develop and implement machine learning models, including predictive, forecasting, classification, and deep learning models. Experience in working with various data sets, including transactional/EPOS, digital, social, loyalty etc. Hands-on experience in using programming languages such as Python. Knowledge of cloud platforms and tools for data science More ❯

organization. Key Responsibilities Define and drive the AI architecture strategy aligned with business goals Design scalable AI and ML systems, leveraging cloud platforms (Azure, AWS, or GCP) Collaborate with data scientists, ML engineers, and business stakeholders Select and evaluate AI/ML frameworks, tools, and platforms Ensure AI models are production-ready, ethical, and explainable Define data requirements … MLOps best practices Hands-on experience with cloud services (Azure ML, AWS SageMaker, GCP Vertex AI) Proficient in Python and common ML libraries (TensorFlow, PyTorch, Scikit-learn) Familiarity with data engineering workflows and tools (Spark, Airflow, Databricks, etc.) Experience with GenAI, LLMs, or NLP is a strong plus Solid understanding of model governance, compliance, and responsible AI principles Excellent … communication skills and stakeholder management abilities Bachelor's or Master's degree in Computer Science, AI, Data Science, or similar Nice to Have Experience with vector databases and RAG (Retrieval-Augmented Generation) Familiarity with Kubernetes and containerized ML workloads Prior experience working in a consulting or freelance setup Knowledge of European data privacy regulations (e.g., GDPR More ❯

for transparency and reproducibility. Publish research papers in internal and external venues of repute. Support on-call activities for critical issues. Basic Qualifications Master's or PhD in computer science, statistics or a related field. 5+ years experience in deep learning, machine learning, and data science. Proficiency in coding and software development, with a strong focus on machine … Python, or another language; command line usage; familiarity with Linux and AWS ecosystems. Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc. Excellent communication skills (written & spoken) and ability to collaborate effectively in a distributed, cross-functional team setting. Papers published in AI/ML venues of repute. Preferred … Qualifications Track record of diving into data to discover hidden patterns and conducting error/deviation analysis. Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations. The motivation to achieve results in a fast-paced environment. Exceptional level of organization and strong attention to More ❯

quantitative models for performance & risk analysis, and participate in the implementation of add-hoc simulation models for risk measurement (e.g. VaR improvement, scenario analysis etc.). Principal Responsibilities Build data analysis models to identify patterns in portfolio managers performance and highlight top pnl and risk drivers (eg factor models, risk decomposition) Design and implementation of risk and scenario GUI …/visualization tools (dashboards). Development of option pricing & volatility models in partnership with the Quant Technology team Handling of large data sets, use of machine learning techniques to enhance traditional risk measures. The role with collaborate with risk managers across asset classes as well as various technology and data teams within the firm, capturing requirements, and monitoring … delivery. Regular interaction with portfolio managers across Europe and Asia. Qualifications/Skills Required Masters or PhD level training in quantitative field, e.g. Engineering, Computer science, Mathematics or Physics Min 3 yrs professional experience in Trading, Structuring, Risk or Quant role, in Financial institution, Fintech, Trading house, or Commodities house. Strong coding skills required: Python, proficiency in data More ❯

60k per annum As a Machine Learning Engineer , you will be part of an MLOps team, working alongside data scientists, software engineers, and other stakeholders to bring machine learning models to life. You will be responsible for deploying, maintaining, and monitoring models in production, improving model performance, and refining the machine learning infrastructure to support business objectives. Your role … will also involve optimizing workflows, integrating CI/CD pipelines, and ensuring the scalability and reliability of AI-driven solutions. Key Responsibilities : Model Deployment : Collaborate with data scientists to deploy machine learning models, ensuring quality and scalability. Pipeline Development : Build and maintain model pipelines to integrate with existing systems and workflows. CI/CD for ML : Design and implement … and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn) Experience with cloud platforms (AWS, GCP, Azure) Experience with CI/CD pipelines for machine learning (e.g., Vertex AI) Familiarity with data processing tools like Apache Beam/Dataflow Strong understanding of monitoring and maintaining models in production environments Experience with containerization tools (e.g., Docker) Problem-solving skills with the ability More ❯

We Are: Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world.Our culture thrives … application developers to build, deploy, and run applications taking advantage of leading-edge hardware at scale? How do we manage modern supercomputers in an environment with novel job and data separation requirements, or even secure computing requirements in a supercomputing environment? The HPE HPC & AI EMEA Research Lab (ERL) is characterized by a unique blend of industrial research and … for Hewlett Packard Enterprise (HPE), Hewlett Packard Labs' purpose is to deliver breakthrough technologies and technology advancements that provide a competitive advantage for the company, by investing in fundamental science and technology in areas of interest to HPE and getting the resulting technologies ready for adoption into new and existing markets. We are: A dedicated international research team integrated More ❯

We Are: Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world.Our culture thrives … provide new environments/abstractions to support application developers to build, deploy, and run AI applications taking advantage of leading-edge hardware at scale? How do we manage modern data-intensive AI training and inference workloads in these environments? The HPE HPC & AI EMEA Research Lab (ERL) is characterized by a unique blend of industrial research and tech development … for Hewlett Packard Enterprise (HPE), Hewlett Packard Labs' purpose is to deliver breakthrough technologies and technology advancements that provide a competitive advantage for the company, by investing in fundamental science and technology in areas of interest to HPE and getting the resulting technologies ready for adoption into new and existing markets. We are: A dedicated international research team integrated More ❯

Build the future of the AI Data Cloud. Join the Snowflake team. Technical Account Manager Snowflake's Account 360 team is expanding! We are looking for a Technical Account Manager to join our team. This role combines technical and commercial responsibilities. On the technical side, you will become the post-sales technical lead for your assigned customer's workloads … effectively at all levels within an organization. You possess a positive attitude and outlook and enjoy working with a high-performing, fast-paced team. You are results-oriented, leveraging data, metrics, and open feedback to make operational, tactical, and strategic decisions. As a Technical Account Manager, you will: Collaborate regularly with Sales Engineers and Solution Architects to identify strategies … Willingness to travel regionally to customer locations, deliver on-site solutions, and build strong customer relationships Our Ideal Technical Account Manager will have: B.S. or M.S degree in Computer Science, Information Systems, Engineering, or equivalent practical experience Hands-on experience with Python, SQL, or Scala 5+ years of experience managing enterprise customer relationships as a Technical Lead or Technical More ❯

expansion, developing acquisition strategies, facilitating private equity investments, or collaborating with boards on risk and governance, our consulting experts work as a cohesive team. We focus on simplicity, providing data-driven insights, value-added assurance, and high-quality execution to empower our clients in building sustainable, future-ready businesses. It's an exciting time to join our consulting team … a digital-first approach, strengthening our global presence, and fostering strong client relationships. The Consulting Digital Team (CDT) serves as the digital hub of our consulting operations, transforming complex data into actionable business intelligence. This specialized unit applies digital skills across all six of our consulting solutions, including deal services, business transformation, risk and governance, finance function support, restructuring … and forensic & investigation services. The team provides comprehensive analytical support, including advanced data analytics, visualization, automation, and artificial intelligence. They work closely with consulting teams to translate business challenges into analytical solutions. The CDT members possess diverse skills in data science, business analysis, data analytics, and programming, enabling them to develop innovative, data-driven solutions More ❯

performance by developing risk models , hypothesis testing , and monitoring portfolio trends . Collaboration is key at Zopa which means you'll work closely with our cross-functional teams including data science, product, and engineers to develop and drive growth strategies , influence strategic decisions and identify new opportunities through the application of leading-edge analytical techniques. We look for … car and point-of-sale finance, which all pose different analytical challenges. - You work with some of the best tech in the industry, such as powerful Python instances for data analysis and machine learning and Redshift for data warehousing. - All our decisioning systems are built in-house, meaning that we have nearly unlimited flexibility in what we can … implement. - You work in a wider cross-functional product, credit, and data science team, so you will have the opportunity to work alongside, learn from and mentor some of the brightest minds and friendliest people in the industry! A day in the life Optimising credit strategy and decisioning for one of our lending products, either through the deployment More ❯

Finance dashboards, workforce analytics reports, other analytics supporting decision-making and strategic workforce planning etc.), documenting the reporting lifecycle process including the date sources and business rules, mapping the data, and translating the requirements into the technical specifications for the ERP Implementation Team. Responsibilities: Oracle Could/Fusion experience REQUIRED. Define and implement the technical requirements to meet analytical … needs within the Oracle ERP Environment Collaborate with teams spanning across the ERP enterprise environment and the ERP Implementation Team to collect data requirements and configure the future state design for Finance Management reporting and analytics. Perform requirements gathering, development, documentation, maintenance and training for reporting and analytics in Oracle. Conduct testing to ensure accurate and reliable Finance reporting. … Ensure Finance data integrity and accuracy by resolving data quality issues and performing data reconciliation for data consistency across modules and reports. Evaluate existing reporting processes to identify opportunities for improvement and automation. Collaborate with the ERP team to align reporting strategies with organizational and cross-functional analytics goals. Provide user support and training on ERP More ❯

role to join a highly respected global company. We are seeking a bright graduate with a minimum of 2 years post university experience in an analytical role using SQL. Data visualisation skills using Tableau/PowerBI/Excel is also essential, any consulting or modelling experience is desirable. Degrees such as Mathematics, Statistics, Physics, MORSE, Economics, Data Science etc. You should have a strong enthusiasm for problem solving and a passion for data. You will be expected to provide analytical expertise, seek to identify data gaps and proactively develop the data agenda in line with business priorities as well as challenge business leaders to become truly data driven. A positive thinker with plenty of … for this role. Good communication skills are a must along with ambition and hunger to develop Duties • Partner with core business areas to gain a deep understanding of their data, reporting, visualisation and analysis needs • Manage a portfolio of dashboards, visualisations and data sources, and the continuous improvement of these • Deliver robust and accurate data sets and More ❯

AI. This role is about building robust, production-ready tools , using large language models (LLMs), agent-based frameworks, and modern cloud infrastructure to support drug discovery, clinical trials, and data-driven decision-making. You'll join a small, hands-on team working directly with domain experts across the company. Your focus will be to turn high-potential AI prototypes … into scalable, useful tools that make an impact across the business from the lab to the field. This is an engineering-focused role, not a traditional data science position. You'll need to be comfortable designing systems, writing code, deploying to production, and supporting ongoing use all while staying aligned with Genmab's mission to improve patients' lives. … Responsibilities Architect and build multi-agent systems using frameworks like A2A or MCP to enable autonomous and human-in-the-loop workflows (e.g. document drafting, data analysis). Develop backend services with Python and FastAPI , and create light frontends with Streamlit or React when needed. Integrate systems with graph and vector databases (e.g. Neo4j, Pinecone) and Genmab's data More ❯

About us: SynMax is a pioneering geospatial data analytics company built on the principle of "Why guess when you can know." We deliver AI-powered intelligence to maritime and energy sectors, transforming satellite imagery, AIS feeds, and market data into actionable insights through our platforms: Hyperion (energy intelligence), Theia (maritime domain awareness), Leviaton (LNG tracking), and Vulcan (power … monitoring).With offices in Houston and London, we're a diverse team of engineers, data scientists, intelligence analysts, and industry experts dedicated to bringing transparency to traditionally opaque industries. Job Summary: We're seeking a talented Machine Learning Software Engineer to join our growing engineering team and help build industry-disrupting analytics platforms. You'll work at the intersection … of machine learning, data engineering, and large-scale data processing, applying AI to diverse datasets to solve complex real-world problems in energy and maritime intelligence. This is an exceptional opportunity for someone who thrives in a dynamic startup environment and wants to grow their career alongside a rapidly expanding company. As we scale, you'll have the More ❯

of major pension funds, endowments, foundations, governments and other investors based in the U.S. and abroad. Position Overview: The successful candidate will work on some of the most challenging data science problems in Responsible Investing. In this role, you will help design custom solutions to meet clients' sustainability needs and develop an understanding of emerging ESG trends and … Write clear, concise answers to clients' and prospects' questions, based on knowledge of Acadian's processes and pertinent new research. Explore structured and unstructured datasets with a focus on data preparation, transformation, outlier detection, and feature engineering. Collaborate on the design of ESG constraints for client-driven investment solutions, help build predictive models and design interactive data applications. … We're Looking for Teammates With: Bachelor's degree in Quantitative Finance, Computer Science, Mathematics, Statistics, or a related STEM field, with 2+ years of experience on the buy-side or sell-side. Strong communication skills with the ability to translate complex analytical insights for both technical and non-technical audiences. Well-organized and detail-oriented, with a methodical More ❯

AI to the product We build products, APIs, frameworks and world-leading deep learning NLP technology . Our tech stack: Programming language: Python Frameworks: FastAPI, Flask, Django Databases and data stores: PostgreSQL, Redis Cloud providers: Google Cloud Platform, Microsoft Azure Events and asynchronous tasks: Celery, NATS, Argo Workflows We work agile in sprints and iteratively deliver towards our milestones … to the development of the next generation of our Cognitive Skill Builder, collaborating with the Machine Learning team to integrate advanced AI features. Work with the Machine Learning and Data Science teams to bring the latest AutoNLU innovations directly to Studio, empowering customers with powerful new tools. Share learnings and best practices in software development, contributing to a … and frameworks like Django, Flask, or FastAPI, with a strong command of building and optimizing backend systems. Hands-on experience with relational/SQL databases, ensuring efficient and reliable data management. Well-versed in software engineering essentials such as unit testing, CI/CD, integration testing, and ensuring code reliability and reproducibility. Familiarity with cloud providers (e.g., Google Cloud More ❯

Not only will you directly contribute to our client deliverables, but you will have the opportunity to experiment with a range of cutting-edge techniques and deliver full-stack data science projects, from solution design through to deployment. 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 co-operative, can-do attitude who can build high-quality data engineering solutions. If this sounds like you, we can't wait to hear from you! KEY RESPONSIBILITIES: Lead the design, development, testing, and evaluation of complex software engineering solutions for the successful delivery of multiple … Manage and mentor engineering project teams Encourage innovation and continuous improvement Collaborate with stakeholders to understand business needs and develop technical strategies Build processes for extracting, cleaning and transforming data (SQL/Python) Oversee the delivery of high-quality code and successful project outcomes Line manage and provide career mentorship to other software engineers REQUIRED SKILLS: Degree in a More ❯

and maintaining ML models with performance alerts and dashboards Supporting CI/CD for ML pipelines Developing production-grade APIs (REST/gRPC) to serve models Collaborating with engineers, data scientists & DevOps teams Requirements Your Experience Industry experience in DevOps or MLOps roles (ideally in AWS environments) Hands-on with Docker, Kubernetes, and Terraform Strong scripting skills in Python … Points Experience with observability frameworks like Prometheus or OpenTelemetry Knowledge of ML libraries: TensorFlow, PyTorch, HuggingFace Exposure to Azure or GCP Passion for financial services Qualifications Degree in Computer Science, Engineering, Data Science, or similar What We Offer A collaborative and innovative work environment with excellent career growth opportunities 34 days holiday plus your birthday off (including More ❯

of innovation and strategy. You'll: Spearhead digital solutions across tax compliance and advisory Design, test, and roll out custom-built automations and tools Collaborate with brilliant minds in data analytics, visualisation & automation Work with real autonomy and own your projects end-to-end. Inspire change by upskilling tax professionals across the business You won't just build tech … bit) Nice-to-haves (but not deal-breakers): Experience with Alteryx, Power BI, and Agile environments Knowledge of ML algorithms and database design ATT or equivalent qualification Background in data analytics or data science What you'll get in return 26 days holiday (+ buy more) Lifestyle, health, and wellbeing perks including: Financial wellbeing tools Electric car More ❯

Senior Applied Scientist, B2B Payments & Lending Job ID: Services LLC Are you passionate about leveraging your applied science skills to deliver actionable insights that impact daily business decisions? Do you thrive using causal inference, experimentation, and Machine Learning/AI to answer challenging product and customer behavior questions? Do you want to be a technical leader and build flexible … build systems/solutions that support financial products, working closely with business/product partners and engineers. You will utilize causal inference/experimentation/ML/AI methodologies, data and coding skills, problem solving and analytical skills, and excellent communication to deliver customer value. As a Senior Applied Scientist on our team, you'll play a pivotal role … in uncovering actionable insights that shape the strategic direction of our products and services. You'll work closely with business stakeholders, data scientists, and engineers to tackle complex problems at the intersection of finance, risk modeling, and customer behavior. A day in the life - Collaborate with product, data, and engineering teams to identify key business and customer questions More ❯

Work Schedule Standard (Mon-Fri) Environmental Conditions Office Job Description About Us: As the world leader in serving science, we solve the world's toughest problems, like giving cancer patients hope, ensuring water and food are safe, helping law enforcement solve cases through forensics and most recently, serving as the largest provider of COVID-19 solutions. Our Data Science, Digital and IT careers are a unique opportunity to apply your specialized skills and advanced experience in analytics, statistics, data science, programming, information technology and more to drive our Mission of enabling our customers to make the world healthier, cleaner, and safer. It's truly a career where your work makes a positive impact in … growth within the company. Our Tech Stack: Programming Languages: JavaScript, C# .Net, Azure Bicep, YAML, Python Frameworks and Libraries: React, NextJS, .Net Core Databases: Azure Cosmos DB, Snowflake, Azure Data Factory Cloud Services: Azure - Azure Functions, Service Bus, Azure Storage, Key Vault CI/CD: Azure DevOps Automation and Testing: PactFlow, Cypress.io, Selenium, TestNG, CodedUI Monitoring and Logging: Azure More ❯

we are a successful, growing International digital transformation consultancy. We deliver multi-Queen's Award for innovation winning platforms and services that support large-scale digital transformation. Our digital, data and technology solutions are used by globally recognised public and private sector brands operating in a variety of sectors including Civil Defence, Healthcare, Sustainable Environment and Land Asset Management … solutions Offering formal and informal advice and guidance in the development of strategies, frameworks and standards as required Collaborating with Engineering, User-Centred Design, Service Operations, Delivery Management, and Data Science practitioners to achieve objectives and successes within multi-disciplinary teams Playing a leading role in the Engineering discipline to maintain an energised community of engineers, influencing company … programming language, frameworks, cloud technologies) evidenced by domain-relevant accreditations/certifications at an advanced level Hands-on knowledge of designing and implementing software solutions capable of handling sensitive data (e.g., Personally Identifiable Information or payment information). Experience implementing software solutions that operationalise data science and Machine Learning components Personal Qualities A hands-on problem-solver More ❯

About the role Join our Optimization team at Taktile as a Full-Stack Engineer. You will build isolated, scalable data warehouses for finance data on AWS. Develop operational, ML/AI and visualizations tools to help customers derive value from their data. Your contributions will directly enhance our automated decisioning platform, allowing users to improve financial decision policies … at scale through the use of production data. What You'll Do Build customer facing data interfaces with React to manage and communicate decision policy performance Develop data-backed tools for improving policy performance, such as training ML models on historical data and backtesting at scale. Design and develop scalable RESTful APIs using Python on AWS, leveraging … services such as Lambda, S3 and SQL. Optimize data warehouse efficiency, conduct peer code reviews, and produce technical documentation. Collaborate with cross-functional teams in an Agile environment to translate business requirements into technical solutions. Requirements Proficiency in Typescript, React and SQL Prior experience in Data Viz/Business Intelligence/Machine Learning or Artificial Intelligence Fluency in More ❯

/CD practices and tools, enabling rapid and frequent software releases while ensuring the integrity of the overall system. Security and compliance: Implement best practices for securing systems and data, adhering to industry and government regulations, and proactively identifying and mitigating security vulnerabilities. Performance monitoring and optimization: Monitor system performance and proactively identify areas for improvement, implementing enhancements to … specialists, fostering a collaborative environment and sharing your expertise to drive innovation and excellence. Qualifications: Active Top Secret SCI security clearance is a must. Bachelor's degree in Computer Science, Engineering, or a related field. Proven experience as a DevOps Engineer in the government contracting, Department of Defense, or intelligence community. Strong knowledge of cloud platforms (AWS, Azure, or … own company too. We offer mentoring opportunities to learn from experienced leaders on creating and growing your own contracting business. If you have a background in coding, computer security, data science, or space operations and want to take your career to the next level in a mission that will affect our national security for decades to come, apply More ❯