526 to 550 of 931 Permanent Statistics Jobs

enhance depth and breadth of coverage Experience working with large datasets to quantify trends impacting the industry Ability to demonstrate qualitative and quantitative evidence to drive commercial decisions Use statistics and data visualization skills to report on results of ongoing operations and projects, as required Strategic vision to align team goals around providing outstanding service to the business and other More ❯

causal coherence, mechanistic fidelity, and utility in guiding real-world interventions. Communicate findings clearly across disciplinary boundaries, and contribute to high-impact publications. Professionally, you have PhD in ML, statistics, computer science or a related quantitative field. Deep expertise in causal inference, such as causal graphical models, counterfactual reasoning, or invariant representation learning. Strong background in one or more of More ❯

fill rate of our hardware-based trading strategy Reduce incidence of cancel-reject responses Investigate and report details of various latency-sensitive exchanges Skills Proficiency in data analytics including statistics, data visualization, and working with large data sets Basic understanding of TCP and UDP network protocols Extensive experience with Python and relevant data libraries (Pandas, Numpy/Scipy) Some familiarity More ❯

Learning solutions that expand financial access What You Need Hands-on experience or Academic Publication in generative models (VAEs, GANs, diffusion models, or related methods) Advanced expertise in mathematics, statistics, and theoretical computer science Experience with deep learning, reinforcement learning, or specialised Machine Learning domains Experience with structured or unstructured data Proven ability to translate research into scalable algorithms Ideally More ❯

structural biology, physics, biophysics, bio/chem engineering, synthetic biology or a related field. You are an experienced molecular data analyst. As a data analyst, you use techniques from statistics, molecular dynamics and molecular visualization to generate insights on biomolecular problems. You are a skilful developer. You write software that is robust, tested and easy to maintain. You have experience More ❯

record in delivering GenAI applications using LLMs and orchestration frameworks. Strong Python skills and a solid grasp of modern backend and cloud-native architectures. Deep understanding of machine learning, statistics, and data-driven decision-making. Experience leading engineering teams and working with external partners or vendors. A commitment to responsible AI, including fairness, transparency, and security. Additional information Benefits Were More ❯

dates in January and September 2026. We welcome research profiles that strengthen our department in both applications and foundations of machine learning and artificial intelligence (e.g., applied mathematics and statistics, computer vision, signal processing, time series analysis). Candidates are required to have a strong scientific background and a well-established network in the relevant fields. Responsibilities: The following criteria More ❯

and science; Exhibit VACC behaviors, focusing on Architect and Coach roles, and guide cross-functional resources. WHO YOU ARE Bayer seeks an incumbent who possesses the following: MSc in statistics, mathematics, informatics, computer sciences, or similar education; Extensive experience in GxP/CSV & IT project or business process design; Extensive experience in Data Science capability assessment and analysis; Preferred project More ❯

and science; Exhibit VACC behaviors, focusing on Architect and Coach roles, and guide cross-functional resources. WHO YOU ARE Bayer seeks an incumbent who possesses the following: MSc in statistics, mathematics, informatics, computer sciences, or similar education; Extensive experience in GxP/CSV & IT project or business process design; Extensive experience in Data Science capability assessment and analysis; Preferred project More ❯

teams. The company Imagine a world where every small business has the power to thrive. That's the world we're building at iwoca. Small businesses aren't just statistics - they're the heartbeat of our communities, the character of our high streets, and the engine of our economy. Since 2012, we've revolutionised how these businesses access finance, turning More ❯

teams. The company Imagine a world where every small business has the power to thrive. That's the world we're building at iwoca. Small businesses aren't just statistics - they're the heartbeat of our communities, the character of our high streets, and the engine of our economy. Since 2012, we've revolutionised how these businesses access finance, turning More ❯

with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum … may be substituted in lieu of degree. 8 years in predictive modeling, model governance, machine learning and large data analysis., OR Advanced Degree (e.g., Master's, PhD) in Mathematics, Statistics, Data Science, Computer Science, or related quantitative STEM field (Science, Technology, Engineering and Math) field and 6 years in predictive modeling, model governance, machine learning and large data analysis. More ❯

with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum … may be substituted in lieu of degree. 8 years in predictive modeling, model governance, machine learning and large data analysis., OR Advanced Degree (e.g., Master's, PhD) in Mathematics, Statistics, Data Science, Computer Science, or related quantitative STEM field (Science, Technology, Engineering and Math) field and 6 years in predictive modeling, model governance, machine learning and large data analysis. More ❯

to learn something new. Responsibilities Include: Support with the development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics. Perform exploratory and targeted data analyses using descriptive statistics and other methods. Collaborate across the business to identify and define new data & reporting requirements with the aim of delivering value adding insight and consistency across the teams. Facilitate embedding … and keep up to date with trends, new technology and competitor advances. Qualifications/Requirements Bachelors degree from an accredited university of college, or equivalent knowledge and experience (Mathematics, Statistics, Operations Research and/or Data Science). Highly proficient in Microsoft Office tools including Excel and PowerPoint Proven experience with SQL Flexible and resilient to respond constructively to new … trends and market patterns using data visualization & analytics tool such as TIBCO Spotfire, Tableau, PowerBI or similar Desired Requirements Master's degree in any discipline (Business, Data Science, Mathematics, Statistics, Operations Research or related field) preferred Proven experience working on OR problems in industrial manufacturing companies Proven experience in simulation modelling Familiar with machine learning concepts, methods, and tools Understanding More ❯

and visualization, workflow and reproducibility Modeling, Inference, and Prediction: Data modeling and assessment, domain-specific consideration. Ability to make and communicate principal conclusions from data using elements of mathematics, statistics, computer science, and applications-specific knowledge. Ability to use analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing … years of experience may be considered for individuals with in-depth experience that is clearly related to the position. Bachelor's Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. … life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g. algorithms, programming data structures, data mining, artificial intelligence). College-level requirement, or upper-level math courses designated as elementary or basic More ❯

and visualization, workflow and reproducibility Modeling, Inference, and Prediction: Data modeling and assessment, domain-specific consideration. Ability to make and communicate principal conclusions from data using elements of mathematics, statistics, computer science, and applications-specific knowledge. Ability to use analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing … years of experience may be considered for individuals with in-depth experience that is clearly related to the position. Bachelor's Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. … life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g. algorithms, programming data structures, data mining, artificial intelligence). College-level requirement, or upper-level math courses designated as elementary or basic More ❯

and visualization, workflow and reproducibility Modeling, Inference, and Prediction: Data modeling and assessment, domain-specific consideration. Ability to make and communicate principal conclusions from data using elements of mathematics, statistics, computer science, and applications-specific knowledge. Ability to use analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing … years of experience may be considered for individuals with in-depth experience that is clearly related to the position. Bachelor's Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. … life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g. algorithms, programming data structures, data mining, artificial intelligence). College-level requirement, or upper-level math courses designated as elementary or basic More ❯

Prediction: (Data modeling and assessment, domain-specific considerations) Devise strategies for extracting meaning and value from large datasets. Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge. Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and … and limitations. Qualifications: Bachelor's Degree with 15 years of relevant experience Associates degree with 17 years of relevant experience Bachelor's Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences … life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g. algorithms, programming data structures, data mining, artificial intelligence). College-level requirement, or upper-level math courses designated as elementary or basic More ❯

Prediction: (Data modeling and assessment, domain-specific considerations) Devise strategies for extracting meaning and value from large datasets. Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge. Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and … Bachelor's Degree with 15 years of relevant experience Associates degree with 17 years of relevant experience All Levels: Bachelor's Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. … life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g. algorithms, programming data structures, data mining, artificial intelligence). College-level requirement, or upper-level math courses designated as elementary or basic More ❯

an electronic communications network. Preferences Preferences The technical storage or access is necessary for the legitimate purpose of storing preferences that are not requested by the subscriber or user. Statistics Statistics The technical storage or access that is used exclusively for statistical purposes. The technical storage or access that is used exclusively for anonymous statistical purposes. Without a subpoena, voluntary More ❯

exposure management Expert-level coding skills in a language such as Python, C#, or C++ Education: PhD or MS (PhD preferred) in a quantitative subject such as Physics, Mathematics, Statistics, Computer Science, Engineering, or related. Please reach out for further info More ❯

exposure management Expert-level coding skills in a language such as Python, C#, or C++ Education: PhD or MS (PhD preferred) in a quantitative subject such as Physics, Mathematics, Statistics, Computer Science, Engineering, or related. Please reach out for further info More ❯

YOUR SKILLS AND EXPERIENCE: A successful Data Scientist will have the following skills and experience: Solid experience in risk modelling Strong Python and SQL skills A solid foundation in Statistics and ML. Experience with end to end product ownership THE BENEFITS: You will receive a salary, dependent on experience. Salary is up to £70,000 On top of the salary More ❯

YOUR SKILLS AND EXPERIENCE: A successful Data Scientist will have the following skills and experience: Solid experience in risk modelling Strong Python and SQL skills A solid foundation in Statistics and ML. Experience with end to end product ownership THE BENEFITS: You will receive a salary, dependent on experience. Salary is up to £70,000 On top of the salary More ❯

YOUR SKILLS AND EXPERIENCE: A successful Data Scientist will have the following skills and experience: Solid experience in risk modelling Strong Python and SQL skills A solid foundation in Statistics and ML. Experience with end to end product ownership THE BENEFITS: You will receive a salary, dependent on experience. Salary is up to £70,000 On top of the salary More ❯