We use deep convolutional neural networks to distinguish human faces from spoof attacks. Our customers are major players in the smartphone, automotive and other industries. As part of our Data Science Team, you will design, train, evaluate and deploy deep convolutional neural networks for spoof detection in face authentication systems. Furthermore, you will conduct research on cutting edge deep … learning architectures and training paradigms as well as develop new algorithms to advance the solution. You will strategize data acquisition campaigns and conduct exploratory data analysis to train models that meet product requirements. In addition, you will perform hyperparameter tuning, neural architecture search and quantization to optimize models for inference on embedded systems. Last but not least, you … Computer Science (Computer Vision/ML specialization) or a related technical field at least 4 years of experience working on machine learning problems in a team, with real world data strong Python programming skills and extensive hands-on experience with TensorFlow/Keras or PyTorch experience with deep learning for image classification, segmentation and object detection and respective state More ❯
The Capital IQ Solutions Data Science team supports the S&P Capital IQ Pro platform with innovative Data Science and Machine Learning solutions, utilizing the most advanced NLP Generative AI models. This role presents a unique opportunity for hands-on ML/NLP/Gen AI/LLM scientists and engineers to advance to the next step in … and synthetic evaluation methods and metrics. Deploy NLP models while ensuring low latency, reliability, and scalability. Explore new methods for prompt engineering, model fine-tuning, optimization, document embeddings, and data chunking. Collaborate closely with product teams, business stakeholders, and engineers to ensure seamless integration of NLP models into production systems. Troubleshoot complex issues related to machine learning model development … and data pipelines, developing innovative solutions as needed. Actively research and identify the latest relevant methods and technologies in the field. What We're Looking For: Basic Required Qualifications: A degree in Computer Science, Mathematics, Statistics, Engineering or a related field. A solid understanding of Machine Learning and Deep Learning methods, along with their mathematical foundations. At least More ❯
Are you passionate about delivering real value to an organisation using advanced techniques in data science and machine learning? We are looking for multiple talented senior data scientists for our leading FinTech client. These role presents an opportunity for you to partner with stakeholders across all areas of the business, including marketing, risk, customer services and quants, to … deliver impactful data products using state-of-the-art machine learning technique Key Responsibilities Lead high-impact projects, being a technical thought leader and subject matter expert in classic Machine Learning as well as advanced and generative AI. Explore a variety of data from structured to unstructured data spanning client, operational and financial domains to identify opportunities … for data science that add value to the business. Advance the use of AI within the business by building our next generation data products, e.g. recommendation systems, chatbots, text analytics systems, pricing and hedging optimisation and automatic insight generation systems. Work with stakeholders from across the business to turn business problems into data science solutions. Mentor junior More ❯
global payments and financial platform of the future. If you're ready to do the most ambitious work of your career, join us. About the team The Global Revenue Data Science team provides Airwallex's Leadership with the data, tooling, and insights needed to amplify Airwallex's rapid growth. We partner across the entire business, giving us an … overarching view and opinion on what Airwallex should prioritize. Our expertise spans the full data stack, and we use it to tackle complex data problems that will shape the future of global fintech. The team is growing quickly, and currently based in the US, China, and Singapore. What you'll do Responsibilities: Be the go-to data partner for the CEO and Regional Business Leads. Partner with Finance, Data Engineering, and Product to align metric definitions/dimensions and data sources across the business. Use causal inference methods to understand how macroeconomic events impact the business. Leverage AI to generate insights and improve business and team efficiency. Lead Airwallex's forecasting efforts by More ❯
everyone we offer our positions in full or part-time. Ready to become a Playmaker of the energy transition? Join our team in Essen, München and apply online as Data Manager eMobility (f/m/d). Are you brave enough to drive progress and forge new paths? Let's make it work and create real impact together. … We can't wait to meet you! It's on us, to make new energy work. Your Responsibilities Improve customer experience by cross-data-analysis to increase utilization of sites and commercial return for the customer and E.ON Lead work packages to enhance our commercial data management and to increase automation throughout our end-to-end processes Perform … to track the performance of our eMobility operations Collaborate closely with internal and external stakeholders across multiple teams and partners Your Profile Bachelor's or Master's degree in data sciences, IT or similar Professional experience in the area of data management and analytics Experience in evaluating data collections and creating performance dashboards in Microsoft PowerBI Strong More ❯
everyone we offer our positions in full or part-time. Ready to become a Playmaker of the energy transition? Join our team in Essen, München and apply online as Data Manager eMobility (f/m/d). Are you brave enough to drive progress and forge new paths? Let's make it work and create real impact together. … We can't wait to meet you! It's on us, to make new energy work. Your Responsibilities Improve customer experience by cross-data-analysis to increase utilization of sites and commercial return for the customer and E.ON Lead work packages to enhance our commercial data management and to increase automation throughout our end-to-end processes Perform … to track the performance of our eMobility operations Collaborate closely with internal and external stakeholders across multiple teams and partners Your Profile Bachelor's or Master's degree in data sciences, IT or similar Professional experience in the area of data management and analytics Experience in evaluating data collections and creating performance dashboards in Microsoft PowerBI Strong More ❯
The Data Science team partners with groups across the company and leverages state-of-the-art technology to offer solutions that set AutoScout24 apart. In this role, you'll collaborate cross-functionally with product, engineering, and business teams to design, build, and scale AI solutions that set us apart in the industry. You'll bring deep technical expertise, a … passion for innovation, and a strong product mindset to develop ML products that solve real-world problems and deliver measurable business value. Our ideal candidate is an experienced data science leader who thrives in a dynamic, fast-paced environment that combines the stability of an industry leader with the agility of a startup culture. You are curious, proactive, and … different nationalities , all working together inclusively and respectfully. The role is Hybrid (2 days a week office attendance) What You'll Do: Shape the strategic direction and vision of Data Science across the organization by identifying transformative AI/ML opportunities and championing the team's evolving role in a rapidly advancing GenAI landscape. Lead the design and deployment More ❯
who is truly passionate about data. Someone who will work on a variety of projects, assisting the business to improve productivity, commercial optimisation and growth. Reporting to the Chief Data Officer you will join a busy, friendly and dynamic team using numbers and facts to make key recommendations, such as which business case to fund, which company we should … partnership/venture to progress. They are at the forefront of their industry, with an appetite for growth and innovation, constantly looking to do things better and faster, using data-driven decisions. You will make an impact and quickly see the results of your work. Responsibilities: Aid in the migration and analysis of data and the creation of … one, unified data set giving one point of truth Clear understand business requirements and propose/implement complete solutions Create easy to understand and clear data visualisations Creation and maintenance of machine learning models Create and undertake testing procedures/policies using test-driven development methodologies Query writing/building System contingency planning and implementations A mathematics/ More ❯
The Data Science team partners with groups across the company and leverages state-of-the-art technology to offer solutions that set AutoScout24 apart. In this role, you'll collaborate cross-functionally with product, engineering, and business teams to design, build, and scale AI solutions that set us apart in the industry. You'll bring deep technical expertise, a … passion for innovation, and a strong product mindset to develop ML products that solve real-world problems and deliver measurable business value. Our ideal candidate is an experienced data science leader who thrives in a dynamic, fast-paced environment that combines the stability of an industry leader with the agility of a startup culture. You are curious, proactive, and … different nationalities , all working together inclusively and respectfully. The role is Hybrid (2 days a week office attendance) What You'll Do: Shape the strategic direction and vision of Data Science across the organization by identifying transformative AI/ML opportunities and championing the team's evolving role in a rapidly advancing GenAI landscape. Lead the design and deployment More ❯
Barbaricum is seeking a data professional experienced in data science and full-stack tool development, to be part of a larger team in support of US Strategic Command in Omaha, Nebraska. This journeyman position supports the customer on-site, with a number of user requirement driven development projects aimed to make sense of the large amounts of data relevant to the STRATCOM mission. The ideal candidate will have a mixture of proficiency in full stack application development, operating in cloud based infrastructure, and using emerging data science and Artificial Intelligence tools, to support the customer. Responsibilities: Designs and develops software requirements for multiple Artificial Intelligence/Machine Learning based support capabilities including the software architectures, APIs More ❯
The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. Responsibilities Analyze raw data: assessing quality, cleansing, structuring for downstream processing Design accurate and scalable prediction algorithms … business improvements Qualifications Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big DataMore ❯
The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. Responsibilities Analyze raw data: assessing quality, cleansing, structuring for downstream processing Design accurate and scalable prediction algorithms … business improvements Qualifications Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big DataMore ❯
The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. Responsibilities Analyze raw data: assessing quality, cleansing, structuring for downstream processing Design accurate and scalable prediction algorithms … business improvements Qualifications Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big DataMore ❯
The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. Responsibilities Analyze raw data: assessing quality, cleansing, structuring for downstream processing Design accurate and scalable prediction algorithms … business improvements Qualifications Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big DataMore ❯
london (city of london), south east england, united kingdom
BettingJobs
The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. Responsibilities Analyze raw data: assessing quality, cleansing, structuring for downstream processing Design accurate and scalable prediction algorithms … business improvements Qualifications Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big DataMore ❯
is truly passionate about data. Someone who will work on a variety of projects, assisting the business to improve productivity, commercial optimisation and growth. Reporting to the Head of Data Science you will join a busy, friendly and dynamic team using numbers and facts to make key recommendations, such as which business case to fund, which company we should … partnership/venture to progress. They are at the forefront of their industry, with an appetite for growth and innovation, constantly looking to do things better and faster, using data-driven decisions. You will make an impact and quickly see the results of your work. Responsibilities Aid in the migration and analysis of data and the creation of … one, unified data set giving one point of truth Clear understand business requirements and propose/implement complete solutions Create easy to understand and clear data visualisations Creation and maintenance of machine learning models Create and undertake testing procedures/policies using test-driven development methodologies Query writing/building System contingency planning and implementations Essential Requirements A More ❯
a project with high visibility that seeks to revolutionize cyber hunting. The role is multifaceted and will enable the contractor to strengthen and broaden skills in the areas of data engineering, ML, and cyber threat hunting and pen testing. Apply professional knowledge of computer science, mathematical and statistical theories, techniques, and methods to gather, analyze, design, and construct new … processes for modeling and interpreting trends, relationships, and correlations among or within data sets. Deliver data visualizations, analytics, and processing capabilities. More ❯
of these areas. The Role They are looking for an experienced, commercially-focused, and passionate leader who will grow and manage the new customer analytics team as a senior data scientist. You will be building analytics models using a range of data science approaches, such as machine learning and statistical techniques, along with wider analytical approaches such as … time series and analytics with unstructured data e.g. NLP. They recently used gradient boosting machine learning to predict radio listening behaviour for a client, taking into account advertising spend. The Successful Candidate Is Likely To Have: Ability to talk confidently to clients, discussing and advising on business objectives Proven track record of how results can best be deployed within … cloud infrastructures such as Azure or AWS and how to integrate R or Python analytical workflows would be highly desirable Proven track record with accessing client customer databases and data lakes Knowledge of the major secondary data-sets available, and experience of merging these to create additional insights Experience with web scraping tools and techniques More ❯
reasoning in Microsoft 365 Copilot by applying next-generation LLM fine-tuning and reinforcement learning techniques. - Improving Copilot Chat and Researcher response quality through state-of-the-art grounding data selection strategies. - Enhancing Copilot Search by developing novel content representation models. - Building the next wave of recommendation and personalization capabilities across M365 Copilot experiences. - In addition to driving innovation … in deploying machine learning applications at scale in real production environments and proven track record of successfully shipping applied research to production is a must - Excellent problem solving and data analysis skills and a good grasp of applied statistics. Particularly, expertise in developing or applying predictive analytics, statistical modelling, data mining, or machine learning algorithms, especially at scale More ❯
and real-time inference Observability: monitoring, drift detection, hallucination, SLOs, and alerting for model and service health Serving at scale: containerised, auto-scaling (e.g., Kubernetes) with low-latency inference Data & model versioning; maintain a central model registry with lineage and rollback Workflow automation across the ML lifecycle (data ingestion → retraining → deployment) Deliver a live performance dashboard (intent accuracy … Proven expertise in mathematics and classical ML algorithms, plus deep knowledge of LLMs (prompting, fine-tuning, RAG/tool use, evaluation) Hands-on with AWS and Azure services for data/ML (e.g., Bedrock/SageMaker, Azure OpenAI/Azure ML) Strong engineering: Python, APIs, containers, Git; CI/CD (GitHub Actions/Azure DevOps), IaC (Terraform/CloudFormation … Serving Infrastructure: A containerized, auto-scaling environment (e.g., using Kubernetes) to serve the chatbot model with low latency Workflow Automation: Automate the end-to-end machine learning lifecycle, from data ingestion and preprocessing to model retraining and deployment Live Performance Dashboard: A real-time dashboard displaying key model metrics such as intent accuracy, response latency, and error rates Centralized More ❯
everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there's no better place to be. Data Science is an integral component of Coinbase's product and decision making process: we work in partnership with Product, Engineering and Design to influence the roadmap and better understand … answer open-ended questions and provide strategic recommendations. Design and guide experiments/analysis to measure impact and drive product improvements. Develop and maintain key metrics and reports, enhancing data infrastructure for better analysis. What we look for in you: At least a BA/BS in a quantitative field (ex Math, Stats, Physics, or Computer Science) with 2+ … for a digital product with an iterative development cycle. Understanding of statistical concepts and practical experience applying them (in A B testing, causal inference, ML, etc.). Experience in data analyses using SQL. Experience in programming/modeling in Python. Demonstration of our core cultural values: clear communication, positive energy, continuous learning, and efficient execution. Disclaimer: Applying for a More ❯
Gainesville, Florida, United States Hybrid / WFH Options
Nuvanova
The Role Join our fully remote team to help build cutting-edge AI and data systems that drive real-world impact in sports and wellness. Were looking for engineers and scientists who thrive on solving hard problems, shipping fast, and working across disciplines. What Youll Do Design and deploy machine learning systems for personalization, recommendations, and intelligent coaching. Build … and fine-tune LLM-based chatbots to support our athlete community. Collaborate on scalable backend systems for ingesting and processing real-time fitness data. Conduct data analysis to uncover user insights and drive feature development. Participate in code reviews, agile practices, and long-term architecture planning. What Were Looking For Strong experience in AI/ML, LLMs, or dataMore ❯
mathematics, operations research, engineering or computer science). A minimum of ten (10) years of experience in two (2) or more of the following: designing/implementing machine learning, data mining, advanced analytical algorithms, advanced statistical analysis, artificial intelligence, or software engineering with data analysis software such as R, Python, SAS, or MATLAB. An additional four (4) years More ❯
progress. My Client is a leading and fast-growing company in their industry, with an appetite for growth and innovation, constantly looking to do things better and faster, using data-driven decisions. You will make an impact and quickly see the results of your work. Responsibilities: Aid in the migration and analysis of data and the creation of … one, unified data set giving one point of truth Clear understand business requirements and propose/implement complete solutions Create easy to understand and clear data visualisations Creation and maintenance of machine learning models Create and undertake testing procedures/policies using test-driven development methodologies Query writing/building System contingency planning and implementations A mathematics background … with knowledge of numerous machine learning models Experience with data visualisation tools Exceptional Microsoft Office skills Detail orientation with structured thinking A problem solver with the ability to multi-task A top performer who is comfortable in an unstructured environment which values initiative, creativity, maturity, poise and strong analytical skills A least a 2:1 degree in Computer Science More ❯
Explore & Innovate: Dive into exploratory data analysis (EDA) and uncover the secrets hidden in customer data. Spearhead strategic research of new cutting-edge machine learning models. Build & Optimize: Design solutions that align with the company's core mission by fine-tuning machine learning and GenAI models. Integrate & Deliver: Develop robust AI modules and ML pipelines that supercharge our backend More ❯
