1,326 to 1,350 of 2,665 Data Science Jobs

simulated. Validation and Verification : Conduct validation, verification, and refinement of simulation software code, models, simulations, and test procedures. Execute test procedures, document test results, and model against real-world data, benchmarks, or similar models. Technical Documentation : Maintain comprehensive documentation of technical code, algorithms, specifications, and descriptions of simulation models. Cross-Functional Integration : Collaborate with cross-functional engineering teams to … work experience or an equivalent combination of education and experience Level 4: 5 or more years' related work experience or an equivalent combination of education and experience Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science 1+ years of … specific tools relevant to the industry. Experience in developing or integrating simulation software for military, commercial, or space applications, demonstrating an understanding of industry-specific requirements. Experience with simulation data management and analysis techniques. Experience with creating and managing simulation scenarios and environments. Experience with aircraft platforms, aviation, simulation, and training systems. Knowledge of simulation validation and verification processes. More ❯

simulated. Validation and Verification : Conduct validation, verification, and refinement of simulation software code, models, simulations, and test procedures. Execute test procedures, document test results, and model against real-world data, benchmarks, or similar models. Technical Documentation : Maintain comprehensive documentation of technical code, algorithms, specifications, and descriptions of simulation models. Cross-Functional Integration : Collaborate with cross-functional engineering teams to … work experience or an equivalent combination of education and experience Level 4: 5 or more years' related work experience or an equivalent combination of education and experience Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science 1+ years of … specific tools relevant to the industry. Experience in developing or integrating simulation software for military, commercial, or space applications, demonstrating an understanding of industry-specific requirements. Experience with simulation data management and analysis techniques. Experience with creating and managing simulation scenarios and environments. Experience with aircraft platforms, aviation, simulation, and training systems. Knowledge of simulation validation and verification processes. More ❯

simulated. Validation and Verification : Conduct validation, verification, and refinement of simulation software code, models, simulations, and test procedures. Execute test procedures, document test results, and model against real-world data, benchmarks, or similar models. Technical Documentation : Maintain comprehensive documentation of technical code, algorithms, specifications, and descriptions of simulation models. Cross-Functional Integration : Collaborate with cross-functional engineering teams to … work experience or an equivalent combination of education and experience Level 4: 5 or more years' related work experience or an equivalent combination of education and experience Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science 1+ years of … specific tools relevant to the industry. Experience in developing or integrating simulation software for military, commercial, or space applications, demonstrating an understanding of industry-specific requirements. Experience with simulation data management and analysis techniques. Experience with creating and managing simulation scenarios and environments. Experience with aircraft platforms, aviation, simulation, and training systems. Knowledge of simulation validation and verification processes. More ❯

on payment operations. Conduct audits, risk assessments, and compliance checks for continuous improvement. Fraud Prevention & Risk Reduction Manage fraud prevention strategies, balancing risk reduction with revenue growth. Collaborate with data science teams to optimise AI-driven fraud detection. Define and execute the Risk Reduction Roadmap with innovative strategies. Monitor transaction patterns to identify and prevent fraudulent activity. Product … Identify gaps in fraud tools and propose enhancements, including real-time monitoring dashboards and automated chargeback solutions. Partner with engineering teams to implement secure, scalable risk management systems. Use data analytics and machine learning to predict and prevent fraud. Payments Strategy & Partnerships Work closely with finance, product, and engineering teams to support business growth. Respond to third-party compliance … and reduce failed payments through strategic planning. Reporting & Communication Provide regular risk exposure forecasts and chargeback analysis. Communicate compliance updates and risk reduction strategies across the business. Generate clear, data-driven reports on payment trends and compliance performance. Advise internal teams on best practices for payment compliance. What Youll Need 5+ years of experience in payment compliance, risk management More ❯

Backed by banks (JP Morgan, Citi, Barclays, Lloyds, BNP) and ratings agencies, Acin helps banks objectively manage their risk control landscape. Based on a network of peers, Acin's data protocols connect a bank's risk control data across their firm and industry leading to greater cost savings, and creating huge efficiency savings across the bank both in … years of related experience required, or an equivalent combination of education and experience. Excellent verbal and written communication skills. Bachelor's degree in a related discipline such as Computer Science, Information Technology, Mathematics, Statistics, Business, Data Science or Engineering preferred. Ability to work both independently and as part of a team. Experience supporting Azure applications. Strong understanding More ❯

on payment operations. Conduct audits, risk assessments, and compliance checks for continuous improvement. Fraud Prevention & Risk Reduction Manage fraud prevention strategies, balancing risk reduction with revenue growth. Collaborate with data science teams to optimise AI-driven fraud detection. Define and execute the Risk Reduction Roadmap with innovative strategies. Monitor transaction patterns to identify and prevent fraudulent activity. Product … Identify gaps in fraud tools and propose enhancements, including real-time monitoring dashboards and automated chargeback solutions. Partner with engineering teams to implement secure, scalable risk management systems. Use data analytics and machine learning to predict and prevent fraud. Payments Strategy & Partnerships Work closely with finance, product, and engineering teams to support business growth. Respond to third-party compliance … and reduce failed payments through strategic planning. Reporting & Communication Provide regular risk exposure forecasts and chargeback analysis. Communicate compliance updates and risk reduction strategies across the business. Generate clear, data-driven reports on payment trends and compliance performance. Advise internal teams on best practices for payment compliance. What Youll Need 5+ years of experience in payment compliance, risk management More ❯

We are looking for a Research Scientist to join our Data Science Team as we scale up and drive digital and financial inclusion across our markets. The Impact Your algorithms will directly unlock financial opportunities for millions of people across Africa who've been excluded from traditional banking. We've already helped over 5 million customers access $1.5 … financial access What You Need Hands-on experience or Academic Publication in generative models (VAEs, GANs, diffusion models, or related methods) Advanced expertise in mathematics, statistics, and theoretical computer science Experience with deep learning, reinforcement learning, or specialised Machine Learning domains Experience with structured or unstructured data Proven ability to translate research into scalable algorithms Ideally a publication … UTC -1/UTC+3) with a diverse group of other employees working remotely from locations such as UK, Europe and Africa. You will be reporting to the Head of Data Science. Why M-KOPA? At M-KOPA, we empower our people to own their careers through diverse development programs, coaching partnerships, and on-the-job training. We support individual More ❯

s tech. The new MLOps team will be responsible for the seamless deployment, monitoring, and maintenance of machine learning models in production. Acting as the critical link between the data science and R&D teams, this team will ensure that ML models transition smoothly from development to production, maintaining high availability, scalability, and performance. Key responsibilities include: Managing … and optimising existing ML model deployments to ensure reliability and efficiency. Continuously improving the architecture, processes, and tools used for model deployment, monitoring, and lifecycle management. Collaborating closely with data scientists to understand and implement model requirements. Partnering with R&D teams to align technical strategies and integrate ML solutions into broader systems. Implementing robust CI/CD pipelines … high-performance, scalable backend systems and APIs. Knowledge of systems programming concepts: memory management, concurrency, performance optimization. Familiarity with ML system architecture and computational requirements (model serving, training infrastructure, data processing pipelines). Experience with cloud platforms (AWS preferred) and distributed systems. Proficiency with containerization (Docker) and orchestration tools (Kubernetes). Strong experience with version control systems (Git) and More ❯

project developing Digital Twins for rare diseases. This is a unique opportunity to work at the intersection of systems biology, AI, and translational research, and to contribute to open science through the Chan Zuckerberg Initiative. Your group Petsalaki Group, in collaboration with Open Targets and BioModels teams. The project Digital Twins are virtual representations of patients that simulate disease … progression and treatment response. Rare diseases pose a unique challenge due to limited patient data-especially at the single-cell level-making traditional modelling approaches difficult. This project tackles that challenge by integrating multi-omics and clinical data using hybrid models combining mechanistic, GenAI, and machine learning approaches. You'll contribute to building disease-specific Digital Twins using … work will help unlock new insights into disease mechanisms and inform potential treatments, diagnostics, and drug repurposing opportunities. Your role You will develop and apply methods to transform omics data into networks and executable models, collaborating closely with experts across the Petsalaki and Sheriff groups, Open Targets, EMBL-EBI, and the wider rare disease and biocuration community. You will More ❯

agency capabilities in order to lead large multi-disciplinary teams of people to successfully deliver integrated client solutions. Job Specification Job Title: Converged Senior Product Manager Reporting To: Chief Data and Product Officer Role Description: This new role is centered around managing the adoption and development of the UK Converged product for our internal teams and clients across the … Havas Creative Network in the UK. This requires knowledge of how data is used to support creative decision making, from insight generation to creative development, and a hands-on approach to developing data-first approaches for building a communications strategy. You should have a strong problem-solving nature, understanding how we can use our existing data, tools … and capabilities to address key client challenges, as well as a creative flair for using data in new and innovative ways. In the complex world of data and analytics, storytelling is key to land these data-driven solutions in a meaningful way. You should therefore have a strong background in data storytelling and building relationships both More ❯

credit strategy across one of its key markets. This role offers a unique opportunity to join a mission-led business that’s reinventing finance for small businesses through smart, data-driven decisioning. ABOUT THE COMPANY This innovative lender empowers small businesses by delivering fast, flexible funding solutions. Built on proprietary technology and deep credit expertise, the company has supported … focused on positive impact. THE ROLE As Senior Credit Risk Manager, you'll take a lead role in managing the enhanced underwriting portfolio in a strategic European market. Blending data science, manual assessment, and strategic oversight, your goal will be to optimise credit decisions and portfolio performance. Key Responsibilities: Lead day-to-day performance monitoring and strategic oversight … credit models, workflows, and manual decision strategies. Review portfolio performance and credit metrics, investigating deviations and ensuring alignment with risk appetite. Collaborate closely with cross-functional teams including analysts, data scientists, and commercial stakeholders. Identify risks and gaps in systems, data, and processes – and propose robust solutions. Support investor performance by optimising risk-return decisions. Set the credit More ❯

credit strategy across one of its key markets. This role offers a unique opportunity to join a mission-led business that’s reinventing finance for small businesses through smart, data-driven decisioning. ABOUT THE COMPANY This innovative lender empowers small businesses by delivering fast, flexible funding solutions. Built on proprietary technology and deep credit expertise, the company has supported … focused on positive impact. THE ROLE As Senior Credit Risk Manager, you'll take a lead role in managing the enhanced underwriting portfolio in a strategic European market. Blending data science, manual assessment, and strategic oversight, your goal will be to optimise credit decisions and portfolio performance. Key Responsibilities: Lead day-to-day performance monitoring and strategic oversight … credit models, workflows, and manual decision strategies. Review portfolio performance and credit metrics, investigating deviations and ensuring alignment with risk appetite. Collaborate closely with cross-functional teams including analysts, data scientists, and commercial stakeholders. Identify risks and gaps in systems, data, and processes – and propose robust solutions. Support investor performance by optimising risk-return decisions. Set the credit More ❯

Relevant certifications such as Cisco Certified Network Associate (CCNA) or CompTIA Network+. Preferred Qualifications: Excellent problem-solving skills and the ability to diagnose and resolve complex network issues. Strong data analysis skills to generate actionable insights from network data. Excellent verbal and written communication skills for effective interaction with IT staff and stakeholders. Ability to work collaboratively in a … team environment and contribute to team goals. Bachelor's degree in computer science, Information Technology, or a related field. Position requires active Security Clearance with appropriate Polygraph. Pay Range: Competitive The RealmOne pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Our approach to crafting offers considers various factors … Adoption assistance - Annual swag drops - Flexible work schedules Generous referral bonus program - Employee appreciation + family-friendly corporate events and much more. ABOUT US RealmOne is a mid-sized science and technology company dedicated to solving our customers' toughest mission challenges. Headquartered in Columbia, MD., RealmOne supplies advanced cybersecurity, data science and software engineering services and products More ❯

credit strategy across one of its key markets. This role offers a unique opportunity to join a mission-led business that's reinventing finance for small businesses through smart, data-driven decisioning. ABOUT THE COMPANY This innovative lender empowers small businesses by delivering fast, flexible funding solutions. Built on proprietary technology and deep credit expertise, the company has supported … focused on positive impact. THE ROLE As Senior Credit Risk Manager, you'll take a lead role in managing the enhanced underwriting portfolio in a strategic European market. Blending data science, manual assessment, and strategic oversight, your goal will be to optimise credit decisions and portfolio performance. Key Responsibilities: Lead day-to-day performance monitoring and strategic oversight … credit models, workflows, and manual decision strategies. Review portfolio performance and credit metrics, investigating deviations and ensuring alignment with risk appetite. Collaborate closely with cross-functional teams including analysts, data scientists, and commercial stakeholders. Identify risks and gaps in systems, data, and processes - and propose robust solutions. Support investor performance by optimising risk-return decisions. Set the credit More ❯

models and design patterns are delivered via existing Enterprise Architecture tools to ensure business collaboration and information dissemination. Support the department in other areas including but not limited to data migration, environments (dev/QA/Prod), interface design, legacy retirement, data archiving, code, and documentation standards. Lead complex and technically challenging architectural transformations, coordinating technical SMEs across … the successful development of the Enterprise Architecture strategy. You will be an important contributor to a multi-disciplinary team, collaborating with Cloud Architects, Infrastructure and Network Architects, Security Architects, data science specialists, solution developers, and business stakeholders - including business leads and engineers. The primary goal of this role is to deliver an solution architecture by implementing strategies and … Knowledge of the Cloud, Digital front end, back-end applications and Middleware Knowledge of Cyber-security architecture, System Integration, Access and Identity management Expertise in complex systems integration and Data architecture and analytics Expertise of API standards and protocols for building and integrating complex systems and architecture Articulate complex technical concepts to colleagues, up to senior leadership level, which More ❯

as a Senior Analytics Engineer At Accurx, we are taking the company's self-serving capabilities to the next level and are looking for a talented analytics engineer with data modelling experience to join us!We want our users and everyone at Accurx to have access to the data they need to make data-informed decisions every … day. We can only do that if our data is centralised, clean, and our models are up to gold standards. You'll work closely with your fellow team members in our data functions to ensure that happens and with the wider company to understand stakeholders' pain points when accessing data and propose self-serving solutions. Your day … to day tasks, should you choose to accept this mission You'll maintain the presentation layer of our data warehouse for reporting and analysis, including databases, schemas, views and tables. You'll build well-tested, up-to-date and documented data models that the rest of the company can use to answer their questions. You'll work closely More ❯

advanced, technical infrastructure support for our customer and its relative nodes over the world. The team provides Software and System Engineering, Software and System Development and Operations (DevOps) services, Data Science, Big Data and Entity Resolution Engineering services advanced data discovery, analytics, exploitation, and visualization capabilities through application development and tools integration. The Full Stack Developer … least Two (2) or more years of experience in the following skillset: Java (JEE Development) Strong JavaScript/Ajax Application Development Angular version 2 or above Spring Boot, Spring Data JPA and Spring Security Tomcat PostgreSQL GIT LAB experience Experience in Test Driven Development JUNIT experience Desired Qualifications Bachelor's degree with eight (8) -12 years of relevant experience More ❯

Research Scientist £70000 GBP Hybrid WORKING Location: United Kingdom (South East) Type: Permanent Senior Research Scientist - Data Science & Machine Learning Location: South East UK (Hybrid: typically 2 days onsite in Great Baddow) Clearance: SC clearable (UK EYES ONLY) - DV/UKIC eligibility highly desirable Work Pattern: Full-time (37 hours/week) | Hybrid | Flexible Interview Process: One-stage … a leading R&D team working at the intersection of artificial intelligence, machine learning, autonomy, and signal processing. This role sits within a growing capability focused on time-series data, decision support systems, and autonomous platforms-and offers an ideal mix of technical leadership, creative freedom, and real-world application. About the Team You'll be part of the …/ML capabilities for high-trust domains such as defence, space, and cyber. What You'll Do Lead applied research in AI/ML, with a focus on sequential data and complex decision-making Develop novel algorithms and prototypes in Python using frameworks such as PyTorch, TensorFlow, and scikit-learn Mentor junior scientists and contribute to team-wide technical More ❯

of AI/ML-powered features such as personalization engines, recommender systems, and predictive product experiences using regression and inference models. Champion product discovery through experimentation, user research, and data-driven hypothesis testing to validate new opportunities and de-risk investments. Collaborate closely with data science teams to define model requirements, evaluate performance, and translate insights into … success in integrating ML capabilities such as personalization, recommendation systems, and predictive modeling into customer-facing products. Deep understanding of Agile methodologies and product lifecycle management. Strong grasp of data science principles, regression and inference modeling, and the scientific method. Accommodation requests If you need assistance with any part of the application or recruiting process due to a More ❯

and Faculty's commercial ambition to build safe AI systems. This is a great opportunity to join a small, high agency team of machine learning researchers and practitioners applying data science and machine learning to business problems in the real world. What you'll be doing Your role will evolve alongside business needs, but you can expect your … of machine learning, with a focus on areas such as robustness, explainability, or uncertainty estimation. Advanced programming and mathematical skills with Python and an experience with the standard Python data science stack (NumPy, pandas, Scikit-learn etc.) The ability to conduct and oversee complex technical research projects. A passion for leading and developing technical teams; adopting a caring More ❯

be suitable for this opportunity, you will be pro-active in your approach, adaptable and able to demonstrate that you have: A Ph.D. or equivalent postgraduate qualification in computer science or a related field, with a strong research track record, including publications in top-tier conferences and journals. A passion for software engineering with the ability to write clean … LLM and RAG technologies, with knowledge of LLM Agents, explainable AI and/or graph ML as a plus. Proficiency in Python, PyTorch and/or Tensorflow, and popular data science libraries, as well as development skills with Docker, Linux, GitHub/Gitlab, GPUs, and cloud services. Exposure to knowledge graphs and graph databases such as Neo4j is More ❯

Who we are We are an energy trading company generating liquidity across global commodities markets. We combine deep trading expertise with proprietary technology and the power of data science to be the best-in-class. Our understanding of volatile, data-intensive markets is a key part of our edge. At Dare, you will be joining a team … frameworks. Producing ad-hoc risk analysis for the team, desks, and senior management. Liaising with Trading and Tech teams, supporting daily market activities. Validating the accuracy and effectiveness of data sources used to produce various risk reports. Building and maintaining risk infrastructures, and ensuring documentation and controls are updated accordingly Investigating when required abnormal data points by requesting … further information from the Trading desks (e.g. hedging strategies), Tech team (e.g. data workflow), Exchange (e.g. Initial margin models), Clearers (e.g. Haircut Model), and other financial counterparties. Using a combination of Python, VBA, SQL, Tableau and other coding languages to enhance, automate and visualise key information/metrics sent to Trading and Senior Management. Participating in firm-wide initiatives More ❯

IT program. The selected candidate will be joining an existing team supporting extract, transform, load (ETL) workflows. The Customer supports analysts through the provision of large datasets, methodologies, and data visualizations to address pressing intelligence questions. The Customer requires support to ingest, clean, store, and analyze data. The Customer needs experienced support in extract, transform, load (ETL) workflows. The … work includes engaging regularly with data scientists, analysts, and managers. The Software Engineer will load large datasets into the Customer's on-premises and Cloud environments and develop and maintain ingestion algorithms and schemas for large datasets. They will analyze new large-volume datasets to optimize the data ingest processes, support the creation of Apache NiFi schemas for … new data loads, and develop software tools that efficiently preprocess, modify, aggregate, load, index, and archive large data collections into clusters in near real-time. They will also ensure proper access controls are implemented, generate metrics to track data ingest statistics to maintain data integrity and provenance, and document the data-flows according to standards More ❯

the development of common libraries and tools used by multiple teams. Aids in formulating a strategy on how to achieve rapid prototyping of AI capabilities. Provides technical guidance to data scientists, UX designers, cognitive scientists, developers, and testers to compose cohesive and sound software designs that form the basis of scalable AI solutions. Documents requirements and specifications and reviews … DevSecOps and systems architecture patterns. Required Skills/Experience: Working knowledge with a set of specific technologies such as: Master's Degree in an information technology- related field (computer science, software engineering, etc.) or 10 years of software development experience. Less experience is acceptable with very strong relevant skills shown. Secret Clearance Required Proficient technical writing skills Technical experience … or Machine Learning Operations (MLOps) platforms. Technical experience working on DevSecOps Pipelines. Technical experience with architecting and delivering successful complex software projects involving multiple modules, Application Programming Interfaces (API), data integration and algorithm stacks. Working knowledge of Agile Software Development Hands on experience in developing a Platform as a Service (PaaS) Kubernetes Computer Vision (especially open-source libraries) Linux More ❯

present to internal and external stakeholders. Nice to have, but not essential NLP/Deep learning experience (e.g. huggingface, spaCy) Deep learning framework experience (preferably PyTorch) MLOps experience (e.g. data and model versioning, model deployment CI/CD, MLFlow/DVC) Cloud platform experience, especially from an ML standpoint (AWS preferred) Statistical testing experience Experience with AWS Bedrock Experience … with C# Containerization via Docker. Awareness of basic data science and generative AI methods. Exposure to generative AI application frameworks like LangChain, LlamaIndex, SmolAgents and griptape. What's in it for you? Join an ever-growing, market disrupting, global company where the teams - comprised of the best of the best - work in a fast-paced, collaborative, and creative … it's subsidiaries? Select Do you now or in the future require visa sponsorship? Select By checking this box, I agree to allow NICE to store and process my data for the purpose of considering my eligibility regarding my current application for employment. By checking this box, I agree to allow NICE to retain my data for future More ❯