176 to 200 of 3,233 Permanent Mathematics Jobs

manual data analysis into automated analytics Experience implementing prototype algorithms within production frameworks for integration into analyst workflows TS/SCI with a polygraph Bachelor's degree in statistics, mathematics, operations research, engineering or computer science and 10+ years of experience designing/implementing machine learning, data mining, advanced analytical algorithms, advanced statistical analysis, artificial intelligence, or software engineering with … or software engineering with data analysis software such as R, Python, SAS, or MATLAB in lieu of a degree Nice If You Have: Master's degree in s tatistics, mathematics, operations research, engineering or computer science and 8+ years of experience in designing/implementing machine learning, data mining, advanced analytical algorithms, advanced statistical analysis, artificial intelligence, or software engineering More ❯

discussions, prototype development, and deploying directly with client delivery teams. You will bring distinctive statistical, machine learning, and AI competency to complex client problems. With your expertise in advanced mathematics, statistics, and/or machine learning, you will help build and shape McKinsey's scientific AI offering. As a Senior Data Scientist, you will play a pivotal role in the … through your work with client teams and clients. Your qualifications and skills Master's degree with 5+ years or PhD degree with 2+ years of relevant experience in statistics, mathematics, computer science, or equivalent experience with experience in research Experience in client delivery with direct client contact Proven experience applying machine learning techniques to solve business problems Proven experience in More ❯

IFRS 9; loss forecasting; stress testing or economic capital modelling; propensity modelling; or a combination thereof. A bachelor's degree in a quantitative analytical discipline (2.1 or higher), e.g. mathematics, applied mathematics, physics, statistics, engineering, econometrics. (Confirmation will be sought if successful for the role.); Ideally have advanced level of SAS or SQL programming - an equivalent level in an alternate More ❯

Overview To ensure uncompromising accuracy and timeliness in the delivery of the risk metrics, our platform is continuously growing and evolving. Risk Engineering combines the principles of Computer Science, Mathematics and Finance to produce large scale, computationally intensive calculations of risk Goldman Sachs faces with each transaction we engage in. As an Engineer in the Risk Engineering organization, you will … junior technical team members in all aspects of Software Development Life Cycle (SDLC) including design, code review and production migrations. Skills And Experience • Bachelor's degree in Computer Science, Mathematics, Electrical Engineering or related technical discipline • 6-9 years' experience is working risk technology team in another bank, financial institution. Experience in market risk technology is a plus. • Experience with More ❯

on understanding data structures, modeling assumptions, and building explainable and reliable AI systems for complex environments. Ideal applicants are rigorous thinkers who approach problems with precision and creativity, using mathematics, machine learning, and statistical methods. Key Responsibilities: Collaborate with the lead engineer to develop and analyze machine learning models for simulation, planning, and optimization. Investigate model behavior, identify failure modes … user-friendly reports and creative storytelling that is broadly understandable. Think critically about system structure, data dependencies, and modeling assumptions. Job Requirements Bachelor's or Master's degree in Mathematics; other degrees such as Computer Science, Physics, or Philosophy (logic-focused) considered if demonstrating strong analytical depth. 5+ year related years of experience. Ability to obtain and maintain a security More ❯

identified as a match. Should this match be identified you may be contacted for this and future openings. Basic Qualifications: • Bachelor's degree in STEM (Science, Technology, Engineering or Mathematics) discipline • Minimum of two (2) years relevant engineering experience. • Active U.S. DoD Secret Security Clearance Desired Skills: • Master's degree in STEM (Science, Technology, Engineering or Mathematics) discipline • C, C++ More ❯

level military leaders, drive consensus across government teams, and provide technical direction Ability to travel up to 25% of the time Secret clearance Bachelor's degree in an Engineering, Mathematics, Physics, or Technology field Nice If You Have: Experience with CI/CD pipelines, infrastructure as code, containerization, and SW frameworks Experience with Python, SQL, Java, and data modeling languages … management functions, including cost, schedule, risk, and technical performance management Possession of excellent interpersonal, written, and verbal communication skills TS/SCI clearance Master's degree in an Engineering, Mathematics, Physics, or Technology field Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information ; Secret clearance is required. More ❯

Start is required. Basic Qualifications (Required 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 14+ years relevant engineering experience or an equivalent combination of technical education and experience Experience with systems engineering tools (i.e. DOORs, CAMEO, MSOSA). Preferred … Experience Education/experience typically acquired through advanced technical education from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), computer science, engineering data science, mathematics, physics or chemistry (e.g. Bachelor) and typically 14 or more years' related work experience or an equivalent combination of technical education and experience or non-US equivalent qualifications. In the More ❯

Start is required. Basic Qualifications (Required 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 14+ years relevant engineering experience or an equivalent combination of technical education and experience Experience with systems engineering tools (i.e. DOORs, CAMEO, MSOSA). Preferred … Experience Education/experience typically acquired through advanced technical education from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), computer science, engineering data science, mathematics, physics or chemistry (e.g. Bachelor) and typically 14 or more years' related work experience or an equivalent combination of technical education and experience or non-US equivalent qualifications. In the More ❯

the specialist or expert level of experience. Minimum education requirements at the specialist level include: A PhD in Computer Science, Computer Engineering, Electrical Engineering, Cybersecurity, Information Security, Information Technology, Mathematics, Applied Mathematics, Physics, Applied Physics, Engineering Physics, Artificial Intelligence, Machine Learning, Engineering and Public Policy, Technology and Policy, National Security Policy, Policy Analysis, Political Science, International Relations, or similar with More ❯

Start is required. Basic Qualifications (Required 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 (Level 4) 9+ years of work-related experience with a Bachelor's OR an equivalent combination of technical education and experience Preferred Qualifications (Desired Skills … Education/experience typically acquired through advanced technical education from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), computer science, engineering data science, mathematics, physics or chemistry (e.g. Bachelor) and typically 9 or more years' related work experience or an equivalent combination of technical education and experience or non-US equivalent qualifications. In the USA More ❯

Start is required. Basic Qualifications (Required 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 (Level 4) 9+ years of work-related experience with a Bachelor's OR an equivalent combination of technical education and experience Preferred Qualifications (Desired Skills … Education/experience typically acquired through advanced technical education from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), computer science, engineering data science, mathematics, physics or chemistry (e.g. Bachelor) and typically 9 or more years' related work experience or an equivalent combination of technical education and experience or non-US equivalent qualifications. In the USA More ❯

communicate results to non-technical customers What You Must Have: Bachelor's degree with 12+ or Master's degree with 10+ years of experience in Computer Science, Statistics, Applied Mathematics, Computational Linguistics, Artificial Intelligence or related field 10 or more years of practical working experience in one or more of the following areas: Natural Language Processing, Machine Learning Models, Question … clearance required as part of client contract requirement US Citizenship required as part of client contract requirements Preferred Skills/Experience: 15+ years' experience in Computer Science, Statistics, Applied Mathematics, Computational Linguistics, Artificial Intelligence or related field Interpersonal skills and the ability to communicate effectively with various clients in order to explain and elaborate on technical details Experience in productization More ❯

the specialist or expert level of experience. Minimum education requirements at the specialist level include: A PhD in Computer Science, Computer Engineering, Electrical Engineering, Cybersecurity, Information Security, Information Technology, Mathematics, Applied Mathematics, Physics, Applied Physics, Engineering Physics, Artificial Intelligence, Machine Learning, Engineering and Public Policy, Technology and Policy, National Security Policy, Policy Analysis, Political Science, International Relations, or similar with More ❯

communicate results to non-technical customers What You Must Have: Bachelor's degree with 12+ or Master's degree with 10+ years of experience in Computer Science, Statistics, Applied Mathematics, Computational Linguistics, Artificial Intelligence or related field 10 or more years of practical working experience in one or more of the following areas: Natural Language Processing, Machine Learning Models, Question … level security clearance required as part of client contract requirement US Citizenship required as part of client contract requirements Preferred Skills/Experience: Experience in Computer Science, Statistics, Applied Mathematics, Computational Linguistics, Artificial Intelligence or related field Interpersonal skills and the ability to communicate effectively with various clients in order to explain and elaborate on technical details Experience in productization More ❯

is more than comfortable working to both their own initiative and as a team. You will ideally be educated to at least MSc in a quantitative subject such as Mathematics, Statistics, Computer Science or Physics and any knowledge with sports betting/trading would be beneficial but not essential. This is an office-based role and as well as very More ❯

is more than comfortable working to both their own initiative and as a team. You will ideally be educated to at least MSc in a quantitative subject such as Mathematics, Statistics, Computer Science or Physics and any knowledge with sports betting/trading would be beneficial but not essential.This is an office-based role and as well as very competitive More ❯

within SOF culture and sensitive activities boundary conditions. Basic Qualifications: Master's degree in a technical discipline such as Engineering (Mechanical, Electrical, Computer, Software, Cyber Security, Systems), Physics, Statistics, Mathematics, Chemistry, Computer Science, or related fields and 8 years of related experience Active Top Secret SCI clearance. Expertise in large-scale data analysis using Spark, Dask, and Hadoop. Strong programming … requires a minimum of 50% hybrid on-site presence. Preferred Qualifications: Masters or Ph.D. in a technical discipline such as Mechanical, Electrical, Computer, Software, Cyber Security, Systems), Physics, Statistics, Mathematics, Chemistry, Computer Science, or related fields and 10 years of related experience. Experience as a Project Lead for USG sponsors, including experience with internal business systems, property management procedures, and More ❯

that knowledge and excitement with others. In addition: Master's Degree in a STEM subject and experience in a related field i.e. MBA, Statistics, Data Science or equivalent experience (Mathematics, Information Science, Computer Science, or similar) Hands on experience with Advanced Analytics, Generative AI (GenAI), Statistics in a commercial environment A passion for writing clean, maintainable code in Python A … Qualifications: If you have the following characteristics, it would be a plus: PhD - in a STEM subject and experience in related field i.e. Statistics, Data Science or equivalent experience (Mathematics, Statistics, Information Science, Computer Science, ML, AI, Bioinformatics or similar) Demonstrated experience in product ownership and stakeholder management. Demonstrated experience with Azure stack (databricks, AMLS, etc.) Knowledge of the data More ❯

analytical and technical ability to ensure the team delivers the highest standards of analysis and reporting to key stake holders What we want from you Numeric based degree i.e. Maths, Economics, Business, Physics etc. Proficient in use of Microsoft Office product suite, particularly Excel i.e. Pivot Tables and V-Lookups Clear, logical analytical approach to problem-solving Ability to investigate More ❯

research. Skills & Experience: Proficiency in at least one scripting language (Python, Matlab, R), with a strong preference for Python. Master's degree (or equivalent) in Economics, Finance, Statistics, Applied Mathematics, Computer Science, or a related STEM field. PhD research experience/publications in relevant fields are a plus. Strong problem-solving skills with an analytical and abstract reasoning mindset. Excellent More ❯

can be either web dashboards or Excel tools backed by robust libraries or web services. 7+ years of relevant experience Bachelor's degree in a quantitative degree (Computer Science, Maths, engineering) Excellent quantitative reasoning and software design. Strong Python skills. Demonstrated experience with high-efficiency programming and multi-threading. Clear grasp of SQL and relational database fundamentals. Ability to multitask More ❯

ensure the team delivers the highest standards of analysis and reporting to key external groups What are we looking for? Minimum 2:1 within a numeric based degree i.e., Maths, Computer science, Economics, Business, Physics etc. Proficient in use of Microsoft Office product suite, particularly Excel i.e., Pivot Tables and V-Lookups Working knowledge of one or more of the More ❯

validation reports that meet internal governance and regulatory expectations. Maintain ongoing monitoring of model performance, usage, and limitations. Candidate Profile: MSc or PhD in a quantitative discipline such as Mathematics, Physics, Financial Engineering, or Computer Science. Experience in model validation, quantitative analytics, or model development within a trading or investment banking environment. Strong understanding of pricing methodologies for derivatives, including More ❯

validation reports that meet internal governance and regulatory expectations. Maintain ongoing monitoring of model performance, usage, and limitations. Candidate Profile: MSc or PhD in a quantitative discipline such as Mathematics, Physics, Financial Engineering, or Computer Science. Experience in model validation, quantitative analytics, or model development within a trading or investment banking environment. Strong understanding of pricing methodologies for derivatives, including More ❯