1 to 25 of 408 Mathematics Jobs with Hybrid or WFH Options

data scientist/quantitative risk modeller, with a proven track record of operationalizing complex models and analytics. A degree in Computer Science, Engineering, Statistics, Mathematics, or a related field. Advanced degrees (MSc or PhD) are preferred. Expertise in applied machine learning, probability, statistics, and quantitative risk modelling. High proficiency in more »

knowledge A passion for learning new technologies and an interest in the Transportation, Environment or Energy sectors Bachelor’s degree in Computer Science, Applied Mathematics, Statistics, Engineering, or related fields Relevant industry experience, including demonstrable experience of delivering solutions, including machine learning, digital products, and working with large scale data more »

team building, motivational skills, innovation, delegation, collaboration, emotional intelligence. Key Qualifications: A degree or equivalent practical experience in a pertinent numerate discipline such as mathematics, physics, economics, engineering, or a related field. Demonstrated knowledge and application of statistical and machine learning techniques to address challenges posed by large, intricate datasets. more »

quality, and analytical methodologies. Stay current with industry trends and best practices in data analysis and visualization techniques. Qualifications: Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or related field. Master's degree preferred. Proven experience as a Data Analyst or similar role, with a strong track record of more »

cycle. Automating quality assurance processes and cloud resource allocation in software development. Requirements PhD or advanced Masters in Statistics, Computer Science, Machine Learning & AI, Mathematics, or Physics. Hands-on experience in at least three of the following areas: Generative AI, Supervised and Unsupervised Learning, Deep Learning, Computer Vision, Recommendation Systems more »

Stay up-to-date with emerging trends and technologies in data analysis Requirements Bachelor's or equivalent experience in a quantitative field such as Mathematics, Statistics, Economics, or Computer Science Proven experience in data analysis or a related role Proficiency in SQL and data querying Experience with data analysis and more »

communication and presentation skills. Proven track record of translating technical findings into actionable business insights. Degree or equivalent in a relevant field (e.g., Statistics, Mathematics). Bonus points for: Experience in the energy retail sector. Familiarity with Databricks. Here's what else you need to know: Closing date – Friday 24th more »

communication and presentation skills. Proven track record of translating technical findings into actionable business insights. Degree or equivalent in a relevant field (e.g., Statistics, Mathematics). Bonus points for: Experience in the energy retail sector. Familiarity with Databricks. Here's what else you need to know: Closing date – Friday 24th more »

communication and presentation skills. Proven track record of translating technical findings into actionable business insights. Degree or equivalent in a relevant field (e.g., Statistics, Mathematics). Bonus points for: Experience in the energy retail sector. Familiarity with Databricks. Here's what else you need to know: Closing date – Friday 24th more »

communication and presentation skills. Proven track record of translating technical findings into actionable business insights. Degree or equivalent in a relevant field (e.g., Statistics, Mathematics). Bonus points for: Experience in the energy retail sector. Familiarity with Databricks. Here's what else you need to know: Closing date – Friday 24th more »

and cli facing teams Collaborating with other leaders across the Analytics organization, including Product Management, Engineering, and Client Engagement Qualifications: MS degree in Applied Mathematics, Statistics, Engineering or similar quantitative disciplines Mastery of deep learning non/parametric models, clustering, anomaly detection, and interpretability 5+ years of experience in catastrophe more »

industry. Strong academic background with a 2:1 degree (or equivalent) or higher in a relevant technical field such as computer science, software engineering, mathematics, or physics. Strong mathematical, analytical, and problem-solving skills. Good communication skills for effective collaboration with software engineers, artists, animators, QA, and production staff. Self more »

the team. Experience: Cloud development and architecture experience A team player with excellent communication skills Advanced analytical skills (typically evidenced by a degree in maths, physics, computer science, engineering, etc.) Applied programming skills - Python, Rust, C++ or other major languages. Hybrid working model from their office in central London. Paying more »

self-driven working independently. REQUIREMENTS: Must have experience in Computer Vision, SLAM, and 3D reconstruction. MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics, or related fields. Experienced working in a fast-paced start-up environment. Strong programming skills in languages such as Python and C++ BENEFITS: Hybrid more »

Working : The role is 60% work from home Sponsorship : Sadly sponsorship isn't available for these roles. About You: Bachelors Degree in Data Science, Mathematics, Economics or similar 4+ years working experience working in the world of Data Science You're more than capable with SQL & Python You have exposure more »

and data engineering teams to deploy and integrate deep learning models into our trading infrastructure. Qualifications: Ph.D. or Master’s degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or a related field. Strong background in deep learning, with hands-on experience in developing and implementing deep neural networks using frameworks more »

relevant teams to resolve them, ensuring accuracy and reliability of data Ideal Skills, Knowledge and Experience: • A relevant professional qualification in Data Science, Statistics, Mathematics, or a related field is desirable • Proven experience working as a Data Analyst or in a similar role Skillset: • Strong analytical skills with the ability more »

features to continuously improve customer satisfaction. Lead Hardware IOT Product manager Responsibilities Qualifications Bachelor's or Master's degree in Computer Science, Physics, Applied Maths, Engineering, or related technical field. Proven track record of 5+ years in technical product management roles, preferably in hardware or IoT industries. Preferably 5+ years more »

conflict management and time management skills. Proficiency in industry-standard process methodologies (e.g., Agile) is required. University degree with an emphasis on Computer Science, Mathematics/Statistics, or equivalent demonstrable experience Great communication skills and an ability to build strong relationships across all organisational levels Flexible team player who understands more »

track record of senior stakeholder management, with high quality communication and influencing skills Have a PhD, MSc or strong quantitative degree ideally from a Mathematics, Statistics, Computer Science or related subject Our Customer First behaviours are all about putting customers and members at the heart of how we work together. more »

and review reports What do you need to succeed? • Strong academic background: educated to at least Masters degree level in a quantitative subject, preferably Maths, Physics, Engineering or Finance. Relevant professional qualifications/experience will also be considered. • Experience in Model Validation and Model life-cycle management. • Experience/knowledge more »

creativity. Proven ability to coach and mentor more junior team members. Calm and empathetic approach to working with others. Desirable Bachelor’s degree in Mathematics, Computer Science, Computer Engineering, Statistics, or relevant field DP-100, DP-203, DA-100, AZ305 Machine Learning and statistical modelling experience Comprehensive knowledge of the more »

data accuracy, availability, granularity, and overall robustness Collaborate with fellow data and finance professionals to achieve successful outcomes Who you are Ideally from a mathematics, statistics, econometrics, physics, or similar numerically-focused background, you possess a natural curiosity and numerical acumen A team player with a sense of ownership, you more »

and be comfortable delivering technical presentations Play a key role in a small team, leveraging your academic qualifications which will include - undergraduate degree in Mathematics, Statistics, Data Analytics, Insurance Risk Management or similar - CII certification - Python, SQL, R, Tableau, or similar visualisation tools Apply your understanding of, or experience working more »

making a difference to patients’ lives. What you would ideally have 🖥️: Degree from top UK universities in a relevant field (e.g. Computer Science, Physics, Maths, Biology, STEM) Strong technical proficiency in Python, Data Cleaning, Data Wrangling, Designing and Implementing data science pipelines Experience with SQL (preferably PostgreSQL), AWS, git, data more »