1 to 25 of 300 Mathematics Jobs with Hybrid or WFH Options

ML (desirable) Spark & Hadoop experience Strong communication skills Good problem solving skills Qualifications Bachelor's degree or equivalent experience in a 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 more »

company’s knowledge base through publications, presentations, and participation in industry events. Experience required: Master’s or Ph.D. in Data Science, Statistics, Computer Science, Mathematics, or a related field. 5+ years of experience in data science or a related field, preferably in the fintech industry. Proven track record of leading more »

present results to stakeholders across the organization on a regular basis. What You Bring (Skills, Capabilities) You will: Have University degree in Computer Science, Mathematics, Physics, Engineering, or related field Excellent analytical skills and profound expertise in statistical modeling (e.g., uncertainty quantification, error analysis, maximum likelihood estimation, random fields) Very more »

analytics and data methodologies, driving innovation and staying ahead of industry trend, (e.g. predictive analytics). Technical Skills Degree in Business Information Systems or Mathematics/Statistics/Physics/Economics or Engineering or any other hard science degrees ; Strong knowledge of Microsoft Office package (Excel, Word and Power Point more »

analytics and data methodologies, driving innovation and staying ahead of industry trend, (e.g. predictive analytics). Technical Skills Degree in Business Information Systems or Mathematics/Statistics/Physics/Economics or Engineering or any other hard science degrees ; Strong knowledge of Microsoft Office package (Excel, Word and Power Point more »

engineering practices (CI/CD, containerization) Comfortable working independently and handling ambiguity Skills and Experience: Desired University honours degree qualification preferably in Computer Science, Mathematics, Statistics, or other quantitative fields, or related work experience Domain experience/demonstrable interest in economics-related fields Experience or familiarity with AI model evaluation more »

Hoc Analysis: Conduct ad hoc analysis to support various business initiatives and projects. Qualifications: Education: Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. Master’s degree is a plus. Experience: Minimum of 3 years of experience as a Data Analyst, preferably within the banking 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 »

impactful changes, working closely with credit analysts, data scientists, senior management, and other stakeholders. What We’re Looking For: A strong Mathematical background in Maths, Physics, Statistics, Computer Science, or a related field. Excellent ability to analyze and interpret data to support decision-making. A team player with a balance 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 »

technical solutions. Stay updated with the latest advancements in machine learning and data science. Candidate Requirements: Bachelor’s degree in Data Science, Machine Learning, Mathematics, Computer Science, or a related field. Master’s degree preferred. Minimum of 3 years of industry experience in a related role. Experience working in a more »

non-technical stakeholders. Proven track record of driving business results through data-driven decision-making Bachelor’s degree in a quantitative field (e.g., Statistics, Mathematics, Economics, Computer Science) Benefits : Pension Office has a good vibe and good communication, growing all the time. Holiday entitlement - 25 days plus public/Bank more »

modelling. A proactive and self-motivated attitude with a keen attention to detail. Desired Bachelor's degree in a quantitative field such as Statistics, Mathematics, Finance, or a related discipline. As a regulated firm, the successful candidate will be required to act within the standards expected by Consumer Duty and more »

modelling. A proactive and self-motivated attitude with a keen attention to detail. Desired Bachelor's degree in a quantitative field such as Statistics, Mathematics, Finance, or a related discipline. As a regulated firm, the successful candidate will be required to act within the standards expected by Consumer Duty and 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 »

technical solutions. Stay updated with the latest advancements in machine learning and data science. Candidate Requirements: Bachelor’s degree in Data Science, Machine Learning, Mathematics, Computer Science, or a related field. Master’s degree preferred. Minimum of 1 year of industry experience in a related role. Strong technical proficiency in more »

learner – you have a drive to learn and continually develop your skills and abilities • Degree or work experience in a numerate or analytical subject (Mathematics, Statistics, Computer Science, Economics, Physics, Engineering, Accounting, Finance or similar) desirable • Comfortable identifying and raising issues, particularly where driving good outcomes for customers are concerned more »

integration By supporting sales leadership with strategic initiatives and projects to optimize sales performance Required Experience: Bachelor's degree in a numeric field (e.g., Mathematics, Statistics, Economics) required; advanced degree preferred Strong experience in a similar analytical role within a demanding environment Proficiency in BI and Data Science tools such more »

Foster a collaborative and inclusive work environment that encourages innovation, knowledge sharing and continuous improvement. Background Skills & Experience A degree in data science, statistics, mathematics, economics, or a related field is preferred. Proven experience implementing and using data modelling tools. Proven experience in data analysis and data management. Proven experience more »

rating factors to be deployed into our rating algorithms. Identify, analyse and monetise new data sources. What we're looking for; Undergraduate degree in mathematics/statistics or a similarly numerical subject. Undertaking actuarial exams, with the ambition to qualify as a Fellow of the Institute and Faculty of Actuaries. 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/knowledge of option pricing techniques including normal and log-normal 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 »

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 »

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 »

monitoring and improving model performance. Communicating findings and recommendations to stakeholders. Here are the skills you'll need: Strong background in quantitative analysis, finance, mathematics, or a related field. Track record of 6-18 months of real-world trading experience. Proficiency in programming languages such as Python, R, or MATLAB. more »