1 to 25 of 2,137 Mathematics Jobs in England

Maths Teaching Assistant | Newham | September 2024 Are you a proficient Maths Graduate seeking to assist students in achieving excellence in mathematics? Join our team in Newham, where you'll play a pivotal role in supporting students across KS3, KS4, and KS5 as a committed Maths Teaching Assistant. Maths Teaching Assistant … with students aspiring for higher education One-year contract, September to July, term time only, £475-£550 per week (including Holiday Entitlement) As a Maths Teaching Assistant, you will provide support to talented and disciplined students studying KS3, KS4, KS5, or GCSE Maths. Under the guidance of an established Maths … department led by an inspirational Head of Maths, you will play a pivotal role in fostering enthusiasm for Mathematics and delivering engaging lessons aligned with the UK curriculum for 11-16-year-olds. We are looking for a Maths Graduate with a strong understanding of the subject and the ability more »

track record of delivering data products in environments with strict adherence to security and model governance standards.• Bachelor's degree in computer science, analytics, mathematics, statistics, economics, industrial engineering, or physical sciences. Master’s degree in one of these disciplines preferred.Corporate Security ResponsibilityAll activities involving access to Mastercard assets, information more »

with the ability to collaborate effectively with colleagues from diverse backgrounds and disciplines. Preferred Qualifications: Master's degree or PhD in Computer Science, Engineering, Mathematics, Statistics, or a related field. MLOps experience, Experience with cloud computing platforms such as AWS, Azure, or GCP (Google Cloud Platform). Familiarity with big more »

and record relevant Continuous Professional Development (CPD) to develop knowledge and skills. Competencies Technical/Qualifications Degree, ideally in computer science, IT, statistics, analytics, mathematics or other related field. Proven experience in data engineering, data analysis/processing, machine learning techniques, data warehouses, data pipelines, preferably in a Financial Services more »

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 »

Negotiate contracts, oversee vendor performance, and assess emerging technologies and trends in the data management space. Qualifications: Bachelor's degree in computer science, engineering, mathematics, statistics, or a related field; advanced degree (e.g., MBA, MS, or PhD) preferred. 10+ years of experience in data management, analytics, and business intelligence, with more »

party solutions for functionality, quality and applicability to client use cases. Requirements: 6+ Years of experience in an engineering role with a degree in Mathematics, Engineering, Statistics, Computer Science or Physics. Advanced degree preferred but not required. Knowledge of Linear Algebra, Probability Theory, Statistics and Optimization, including regression analysis, parameter more »

and written English. Additional languages are nice to have.QualificationsMinimum Bachelor’s Degree (2:1) or international equivalent in a relevant subject: Data Science, Economics, Mathematics, Computer Science, Engineering or Business preferred.Previous Experience in a Data/Datascience team from a consulting company is mandatoryAdditional InformationYou can expect…A supportive atmosphere more »

developing applications using micro-services architecture. (Desirable) Experience of a concurrent (asynchronous) programming and the related frameworks and tools used. (Desirable) Competency in Engineering Mathematics (matrix algebra, numerical optimisations) and development of complex algorithms. (Desirable) Understanding and prior experience of common computer vision tools and techniques used in the field more »

Proficiency in using Microsoft Azure cloud services for Machine Learning and data science tasks. A degree in a relevant field, such as Data Science, Mathematics or Computer Science (with Machine Learning modules). We’re always interested in hearing if you’ve worked on a masters project! Strong understanding of more »

how/if to apply them appropriately Minimum qualifications: Strong academic record and a degree with high mathematical and computing content e.g., Computer Science, Mathematics, Engineering or Physics from a leading university. 5+ years of progressive software engineering experience Expert knowledge of Python and related popular libraries Experience in building more »

really get under the skin of customers. Skills & experience required: Educated to degree level in a numerate subject; Machine Learning, Computer Science, Physics, Chemistry, Mathematics, Statistics, Engineering, Economics etc. Statistical background employing a wide variety of analytical techniques to solve problems and answer questions around the player and in turn more »

are desirable). They will also have experience working with SQL databases. Ideal candidates will have: Bachelors or Master’s degree in Computer Science, Mathematics, Statistics or related field 2 - 8 years of experience in software development within a hedge fund, investment bank or other financial institution Strong programming skills 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 »

vision of the team and the firm Required qualifications, capabilities, and skills Advanced degree in analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis, Operations Research) Experience in the application of AI/ML to a relevant field, Demonstrated practical experience in machine learning techniques, supervised more »

or customer experience-related problems such as workforce management, demand forecasting, or root cause analysis. ● BSc or MSc in a quantitative discipline eg. Statistics, Mathematics, Physics, Machine Learning ● Deep expertise in Python (production-level) and SQL ● Proficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with MLOps more »

or customer experience-related problems such as workforce management, demand forecasting, or root cause analysis. ● BSc or MSc in a quantitative discipline eg. Statistics, Mathematics, Physics, Machine Learning ● Deep expertise in Python (production-level) and SQL ● Proficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with MLOps more »

or customer experience-related problems such as workforce management, demand forecasting, or root cause analysis. ● BSc or MSc in a quantitative discipline eg. Statistics, Mathematics, Physics, Machine Learning ● Deep expertise in Python (production-level) and SQL ● Proficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with MLOps more »

management procedures Understanding of digital health innovations Qualifications Essential PhD or masters qualification with equivalent expertise/experience in a quantitative scientific discipline (eg mathematics, statistics, engineering, physics, computational biology, computer science or a relevant discipline). Undergraduate degree in relevant subject or equivalent qualification Other Essential Willingness to work more »

team to bring analytical prototypes to production Generate actionable insights for business improvements Qualifications Bachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years of experience in quantitative analytics or data modelling Deep understanding of predictive modelling, machine-learning, clustering more »

GenAI techniques and their applications within the marketing consultancy space (NLP, Computer Vision, LLMs) REQUIREMENTS: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Proven experience in customer-driven modeling, with clear commercial impact and value highlighted Excellent more »

models in areas of business development. Use programming languages such as Python, and SQL. REQUIREMENTS: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Excellent verbal and written communication skills with the ability to effectively explain technical solutions to a wide range of audiences. Extremely more »

processes. Work closely with cross-functional teams to understand business needs and provide data-driven insights and solutions. Requirements: Bachelor's degree in Finance, Mathematics, Computer Science, or related STEM Degree. Proficiency in PowerBI or Tableau for data visualization and reporting. Strong programming skills in Python or SQL for data more »

significant impact on business outcomes. Communicate findings and insights effectively to technical and non-technical stakeholders. REQUIREMENTS: A Bachelor's degree in Computer Science, Mathematics, Statistics, Business Administration, or related field. Advanced knowledge of SQL and Python, including popular Data Science packages such as pandas, matplotlib, seaborn, numpy, and sklearn. more »