1 to 25 of 1,332 Mathematics Jobs

like Hadoop and Spark. Deep understanding of supply chain operations and the ability to apply data science methods to solve real-world business problems effectively. Strong foundational knowledge in mathematics and statistics, typically to at least MSc level, enabling rigorous analytical modelling. Demonstrated success driving cross-functional collaboration with product managers, engineers, and business stakeholders to deliver impactful, user-centric More ❯

as AWS, or Google Cloud for scalable AI/ML development and deployment and knowledge of data pipelining (e.g. via Airflow) A minimum BA/BSc degree in Statistics, Mathematics, Physics, Computer Science or related quantitative degree. Masters/PhD What's in it for you? A range of flexible working options to dedicate time to what matters to you More ❯

Learning algorithms and techniques. Extensive experience in building AI based applications Strong understanding of Software Development best practices and in OO Design principles and patterns. Very strong competency in mathematics, statistics, data structures and algorithms. A penchant for finding outstanding solutions to very difficult problems. Excellent communication skills and collaboration capabilities. Ability to work in a diverse/multi-cultural More ❯

Registry. Use of Databricks notebooks for collaborative development in Python, SQL, or Scala. Successful applicants should also possess: Bachelors' degree in Data Science, Analytics, Information Technology, Computer Science, Statistics, Mathematics, Quantitative Economics, Engineering, or equivalent professional education. Minimum of 3 years' experience in a Data Engineering role with a blue-chip consulting firm or in the Data Office/Data More ❯

upgrades and model monitoring. Person Specification To succeed in this role, you'll typically have: Bachelor's/Master's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Physics, Engineering) or equivalent. Hands on experience in machine learning engineering, including deploying, monitoring, and maintaining ML models in production environments. Experience in finance or insurance is an advantage but More ❯

as well training opportunities to develop yourself A competitive salary with great advantages, like mobility budget, hospital insurance, performance-related bonus, Qualifications MSc level education in Computer Science, Applied Mathematics, Artificial Intelligence, Embedded Systems or related field of study. 2-4 years of experience in building production-quality ML/Deep Learning pipelines and models. Good understanding of Machine Learning More ❯

and training opportunities. A competitive salary with great advantages, such as a mobility budget, hospital insurance, performance related bonus, and more. Qualifications MSc level education in Computer Science, Applied Mathematics, Artificial Intelligence, Embedded Systems or related field. 2-4 years of experience building production quality ML/Deep Learning pipelines and models. Good understanding of ML fundamentals and strong knowledge More ❯

as well training opportunities to develop yourself A competitive salary with great advantages, like mobility budget, hospital insurance, performance-related bonus, Qualifications MSc level education in Computer Science, Applied Mathematics, Artificial Intelligence, Embedded Systems or related field of study. 2-4 years of experience in building production-quality ML/Deep Learning pipelines and models. Good understanding of Machine Learning More ❯

as well training opportunities to develop yourself A competitive salary with great advantages, like mobility budget, hospital insurance, performance -related bonus, Qualifications MSc level education in Computer Science, Applied Mathematics, Artificial Intelligence, Embedded Systems or related field of study. 2-4 years of experience in building production-quality ML/Deep Learning pipelines and models. Good understanding of Machine Learning More ❯

strategies. Publish proprietary research (SSRN/peer‐reviewed journals/industry conferences) and participate in industry working groups , enhancing the firm's visibility. YOUR PROFILE PhD in Physics/Mathematics/Computer Science/Quantitative Finance or related STEM field (exceptional MSc considered with relevant work experience). 4–7 years in quantitative research/engineering within capital markets; proven More ❯

of software engineering principles, data structures, and algorithms. Strong problem-solving skills and ability to work in an Agile environment. Educational Criteria : 1. Bachelor’s degree in computer science, Maths, IT, statistics or physics related field. 2. You should be entitled to work in the UK with legal work authorization status. 3. Must be willing to travel within the UK More ❯

ML models into production environments via APIs or microservices. Excellent problem-solving, analytical, and communication skills. Preferred Qualifications Bachelor’s or Master’s degree in Computer Science , Data Science , Mathematics , or a related field. Familiarity with CI/CD pipelines for ML model deployment. Exposure to natural language processing (NLP) , computer vision , or reinforcement learning projects. Experience working in Agile More ❯

ML models into production environments via APIs or microservices. Excellent problem-solving, analytical, and communication skills. Preferred Qualifications Bachelor’s or Master’s degree in Computer Science , Data Science , Mathematics , or a related field. Familiarity with CI/CD pipelines for ML model deployment. Exposure to natural language processing (NLP) , computer vision , or reinforcement learning projects. Experience working in Agile More ❯

modeling efforts, results, conclusions and recommendations. Minimum Qualifications: Must have active TS/SCI security clearance with CI Polygraph. Bachelor's degree in engineering, sciences, Computer Science, Physics, Applied Mathematics, or related technology field. 4 additional years of experience may be substituted in lieu of a degree. 6 years of relevant experience in software development, technology, engineering and/or More ❯

and compliance teams to ensure efficient and compliant market operations. Work directly with clients and integration partners to support connectivity and troubleshoot production issues. Requirements Degree in Computer Science, Mathematics, Physics, Engineering , or related field (Master's or PhD preferred). Strong programming skills in Java or C++ , with a focus on low latency systems and performance optimization. Experience in More ❯

and distributed systems. Familiarity with agile methodologies and CI/CD tools. Excellent communication skills and an interest in financial markets or FX trading. Degree in Computer Science, Engineering, Mathematics, or Physics preferred. Why Join Work directly with Front Office trading teams on next-gen algorithmic trading systems. Gain exposure to real-time analytics, predictive modelling, and high-performance systems. More ❯

and distributed systems. Familiarity with agile methodologies and CI/CD tools. Excellent communication skills and an interest in financial markets or FX trading. Degree in Computer Science, Engineering, Mathematics, or Physics preferred. Why Join Work directly with Front Office trading teams on next-gen algorithmic trading systems. Gain exposure to real-time analytics, predictive modelling, and high-performance systems. More ❯

production environments at scale. 8+ years in data science, including 3+ years in leadership roles. Advanced degree (Master’s or PhD) in Data Science , Statistics , Machine Learning , Computer Science , Mathematics , or Physics . Deep expertise in supervised/unsupervised learning, time series forecasting, deep learning, and generative AI. Strong programming skills in Python and SQL; experience with ML frameworks (e.g. More ❯

production environments at scale. 8+ years in data science, including 3+ years in leadership roles. Advanced degree (Master’s or PhD) in Data Science , Statistics , Machine Learning , Computer Science , Mathematics , or Physics . Deep expertise in supervised/unsupervised learning, time series forecasting, deep learning, and generative AI. Strong programming skills in Python and SQL; experience with ML frameworks (e.g. More ❯

Salary: 45.000 - 60.000 € per year Requirements: U.S. Citizenship and active Secret or Top Secret security clearance. Master's or Ph.D. in Computer Science, Data Science, Statistics, Applied Mathematics, or a related field. 5+ years of experience in data science or machine learning, with at least 2 years supporting federal or defense programs. Proficiency with Maven, Vantage, TDP, and Advana. Proficiency More ❯

AI/ML outcomes clearly to non-engineering stakeholders and business leaders; translate metrics and findings into actionable business insight. Required Qualifications : Bachelors degree in Computer Science, Engineering, Statistics, Mathematics or related quantitative field; Masters or PhD preferred.10-15 years of experience in software engineering and machine learning/AI engineering roles (building, deploying, operating machine learning models and AI More ❯

and expanding client engagements. What you will bring Master's (or Ph.D.) degree in a quantitative field with a focus on data analysis (e.g. computer science, econometrics, AI, engineering, mathematics, physics, and other exact sciences). 10+ years of consulting experience or relevant industry experience, with at least 3+ years at a senior leadership level and a strong network in More ❯

other highly valued skills may include: Experience at a large Consulting firm (preferably Analytics consulting) Experience in the financial services industry Degree in a quantitative field (Statistics, Computer Science, Mathematics, etc.) Knowledge of machine learning and AI applications Familiarity with data governance frameworks Understanding of agile methodologies Experience mentoring junior team members Knowledge of programming languages commonly used in analytics More ❯

culture, and ways of working Contribute to global data initiatives and communities of practice What you'll bring Degree in a quantitative field (e.g. Computer science, econometrics, AI, engineering, mathematics, physics) 10+ years of consulting or relevant industry experience, including 3+ years at project lead/"Head of" level, with a strong professional network Strong interpersonal and communication skills, with More ❯

practices including CI/CD, version control, automated testing, and monitoring to support reliable model deployment and maintenance. Education Bachelor's degree in Engineering, Computer Science, Data Science, Statistics, Mathematics, Physics or a related field, or equivalent practical experience. What you'll get in return: High-impact projects : Work on innovative AI products that solve complex, high-value challenges using More ❯