1 to 25 of 1,214 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 ❯

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 ❯

Support internal teams with technical queries and contribute to infrastructure/tools development for research projects. Key skills & experience: MSc/PhD in Artificial Intelligence, Computer Science, Electrical Engineering, Mathematics, or related discipline. Professional experience with Python; C++, Java, or Kotlin is a plus. Strong expertise in machine learning and deep learning, including training, evaluation, and model deployment. Hands-on 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 ❯

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 ❯

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 ❯

the model performance. To be successful in this role, we’re seeking the following: Master/MBA/PhD's Degree in a quantitative field (computer science, financial engineering, mathematics, data science or engineering) Experience using one or more programming languages (Python, R, C++, Java, Matlab, etc.) and manipulating data using SQL and Pandas Excellent written and verbal communication skills More ❯

where appropriate Present findings clearly to technical and non-technical audiences to inform decision-making across teams What You'll Bring: Master's degree in a quantitative field (e.g. Mathematics, Physics, Engineering, Computer Science, Economics) Self-motivated with a researcher's mindset to tackle ambiguous challenges and drive solutions with minimal guidance Demonstrated experience applying data science techniques to business 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 ❯

of internal tools and infrastructure to support research and development efforts. Skills and Qualifications Required Skills MSc/PhD degree in Artificial Intelligence, Computer Science/Engineering, Electrical Engineering, Mathematics, or a related discipline. Professional software development experience with Python (experience with C++, Java, or Kotlin is a plus). Deep understanding of machine learning and deep learning fundamentals, including 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 ❯

concepts Flexibility to work beyond standard hours when required Experience in distributed/high-performance computing A Master's or PhD degree in a highly quantitative discipline, such as mathematics, statistics, computer science, physics, or engineering is highly desirable We prioritise your programming skills, raw talent, and potential to make a meaningful impact and deliver value — over unnecessary bureaucracy This 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 ❯

container based applications Preferred Qualifications (Desired Skills/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 Experience with cloud platforms Experience in automated provisioning and configuring of software-defined infrastructure and designing for continuous deployment and continuous operations Experience with Agile More ❯