1 to 25 of 745 Mathematics Jobs

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 ❯

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 ❯

hands-on experience deploying scalable AI models and possesses excellent communication skills for collaborative R&D work. Bachelor's or Master's degree in computer science, AI, machine learning, mathematics, data science or a related field; a PhD is a plus. Strong understanding of machine learning algorithms, techniques, and libraries (e.g., TensorFlow, PyTorch, scikit-learn). Experience with selecting and 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 ❯

into product development. Mentor and support other data scientists, fostering technical excellence and innovation across the organization. Education Master's degree or PhD in Computer Science, Artificial Intelligence, Applied Mathematics, or a related field. Degree from a leading Engineering School (Grand Ecole) or University with a strong quantitative curriculum is highly valued. Requirements 8+ years of experience building, training, and More ❯

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 ❯

value demonstration. Person Specification: To excel as a Principal Data Scientist, you will typically possess: Bachelor's/Master's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Physics, Engineering) or equivalent. Extensive professional experience in data science, with a proven track record of technically leading and successfully delivering complex, impactful, and production-grade data science solutions. A More ❯

value demonstration. Person Specification: To excel as a Principal Data Scientist, you will typically possess: Bachelor's/Master's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Physics, Engineering) or equivalent. Extensive professional experience in data science, with a proven track record of technically leading and successfully delivering complex, impactful, and production-grade data science solutions. A More ❯

analytics, operational research, big data and dashboarding deliveries Present findings to non-technical stakeholders Candidate Profile Active DV clearance (essential) Degree/Master's/PhD in Data Science, Mathematics, Statistics, Physics, Operational Research or similar Strong experience in advanced analytics, modelling, or operational research Skilled in Python, SQL and Excel Experience within the Defence & Security sector Ability to formulate 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 ❯

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 ❯

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 ❯

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 ❯

Infrastructure using tools such as Terraform Working closely with development teams working on the ML Software Stack (SDK) Candidate Profile Essential: Bachelor or Master's Degree in Computer Science, Maths, Machine Learning, Data Science, or related field Knowledge of Python/Go/Java/C++ (or similar language) Experience managing or developing in Linux environments Understanding of CI/ 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 ❯

s objectives. You want to proactively share your skills, knowledge, and energy to achieve shared ambitions. WHAT WE ARE LOOKING FOR Bachelors or Master's degree related to Statistics, Mathematics, Computer Science, Economics etc. Excellent analytical skills with the ability to collect, organise, analyse, and disseminate large sets of information with attention to detail and accuracy Excellent problem-solving skills More ❯

as providing development for other roles you may be interested in. Required Qualifications of the Principal Data Scientist - Network & PI Analytics: Undergraduate degree in a quantitative field such as mathematics, statistics, computer science, actuarial science, engineering, or related discipline or equivalent experience. Deep expertise in SQL and Python/R with a strong track record of building data science solutions. 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 ❯

the wider team Skills, Qualifications and Knowledge Required: All of our Placement roles require that you are working towards a relevant degree discipline e.g. Software Engineering, Computer Science, Physics, Mathematics or Electronic Engineering (BSc (Hon)/BEng (Hon)/MEng). We would like to hear from you if you have a combination of the following: Experience of computer programming More ❯

prompt engineering or agents is preferred Cloud Expertise: Building, deploying and monitoring models on cloud like Azure, AWS or GCP is preferred. Foundational Knowledge: A strong foundation in statistics, mathematics, AI principles and programming is essential for success in this role. Ideally, you will also have Problem-Solving: Ability to translate business assumptions and rules into feature engineering and model More ❯

the biggest companies in the world. This is a Graduate Software Engineer job focusing primarily on C/C++ development for security products. Key Skills: Masters or PhD in Maths, Physics, Computer Science or similar Good academic or commercial C/C++ experience Experience working on DSP’s for algorithm design is highly desirable but not essential Ability to gain More ❯

the biggest companies in the world. This is a Graduate Software Engineer job focusing primarily on C/C++ development for security products. Key Skills: Masters or PhD in Maths, Physics, Computer Science or similar Good academic or commercial C/C++ experience Experience working on DSP s for algorithm design is highly desirable but not essential Ability to gain More ❯

clearly to non-technical stakeholders. Help develop tools using SQL, Python, and BI platforms (e.g. Quicksight, Power BI, Tableau). What we’re looking for Essential: A degree in (Maths, Statistics, Economics, Computer Science, Data Science). Strong analytical and problem-solving skills. Proficiency in SQL and Excel . Excellent communication and presentation skills. Attention to detail with a proactive More ❯