1 to 25 of 551 Permanent Mathematics Jobs in the UK

value demonstration. Person Specification: To excel as a Principal Data Scientist, you will typically possess: Bachelor's/Master's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Physics, Engineering) or equivalent. Extensive professional experience in data science, with a proven track record of technically leading and successfully delivering complex, impactful, and production-grade data science solutions. A More ❯

value demonstration. Person Specification: To excel as a Principal Data Scientist, you will typically possess: Bachelor's/Master's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Physics, Engineering) or equivalent. Extensive professional experience in data science, with a proven track record of technically leading and successfully delivering complex, impactful, and production-grade data science solutions. A More ❯

other highly valued skills may include: Experience at a large Consulting firm (preferably Analytics consulting) Experience in the financial services industry Degree in a quantitative field (Statistics, Computer Science, Mathematics, etc.) Knowledge of machine learning and AI applications Familiarity with data governance frameworks Understanding of agile methodologies Experience mentoring junior team members Knowledge of programming languages commonly used in analytics More ❯

clearly to non-technical stakeholders. Help develop tools using SQL, Python, and BI platforms (e.g. Quicksight, Power BI, Tableau). What we’re looking for Essential: A degree in (Maths, Statistics, Economics, Computer Science, Data Science). Strong analytical and problem-solving skills. Proficiency in SQL and Excel . Excellent communication and presentation skills. Attention to detail with a proactive More ❯

across the business, with a focus on end-to-end machine learning solutions. Experience - Lead Data Scientist You will have: An M.Sc. or Ph.D. in: Machine Learning, Statistics, Applied Mathematics, Computer Science, Engineering, etc. Experience using Python is a must Knowledge of cloud technologies important (agnostic) A strong knowledge of statistical/machine learning models applied to real-world problems More ❯

Data Scientist and the successful candidate must have the right to work in the UK and meet the following criteria: Required Skills & Experience: Bachelor's degree in Computer Science, Mathematics, Statistics, Business Administration or related field Advanced knowledge of SQL Good knowledge of Python, including popular Data Science packages (pandas, matplotlib, seaborn, numpy, sklearn) Familiarity with what is happening under More ❯

encourage the appropriate use of a variety of modern tools and technologies in support of your core activities. You will have: A first-class degree, Masters or PhD in Maths, Computer Science or other relevant scientific field. At least 2 years' experience in desktop software development for Windows, Mac or Linux. This role would suit an energetic candidate with a More ❯

Analytics activities. Create and maintain comprehensive documentation for data models, calculation methodologies, and dashboard functionality to ensure knowledge transfer and sustainability. Knowledge, Skills, Experience & Qualifications Essential Undergraduate degree in Mathematics, Computer Science, Information Systems, Analytics, Statistics, or related quantitative field, or equivalent professional experience. 3-5 years of progressive experience in data analytics, preferably in HR analytics, workforce planning, or More ❯

aws services (ec2, elb, rds, route53 & s3) - Experience with software development life cycle (sdlc) and agile/iterative methodologies - Master's degree in a quantitative field such as statistics, mathematics, data science, engineering, or computer science - Experience communicating across technical and non-technical audiences - Experience in using Python and hands on experience building models with deep learning frameworks like Tensorflow More ❯

in additional languages. Education: Possess a BSc, MSc, or equivalent degree in one of the following disciplines or related fields: Earth/climate sciences (geology, geophysics, seismology, meteorology, etc.) Mathematics, statistics, physics, engineering, data science Risk management/insurance, actuarial science Responsibilities: Moody's is seeking a dynamic and innovative Associate Director to join our Insurance Solutions operating unit as More ❯

in additional languages. Education: Possess a BSc, MSc, or equivalent degree in one of the following disciplines or related fields: Earth/climate sciences (geology, geophysics, seismology, meteorology, etc.) Mathematics, statistics, physics, engineering, data science Risk management/insurance, actuarial science Responsibilities Moody's is seeking a dynamic and innovative Associate Director to join our Insurance Solutions operating unit as More ❯

entire duration of the program Ability to travel to clients and FTI Consulting office(s) Preferred Qualifications Preferred major(s): Business Administration, Management, Finance, Engineering, Computer Science, Data Analytics, Mathematics, Statistics, or a related field Excellent analytical and problem-solving skills A logical and lateral thinker, who is intellectually curious, highly organized, and structured Exceptional communication and interpersonal skills, with More ❯

verification, and validation. Excellent communication skills with the ability to lead, mentor, and inspire a team. UK Nationality with eligibility for DV or SC Security Clearance. Degree in Engineering, Mathematics, Computer Science, or related field (or equivalent experience). The position can be a Senior Software Engineer or Software Team Lead to play a pivotal role in architectural design and More ❯

typical Back Office Architecture and Modelling in the Sports Betting Industry. Experience using DevOps tools such as Azure DevOps/Jira. Experience with concurrent development source control (GIT). Mathematics skills such as dealing with matrices, probabilities, and statistics. Experience generating reports, dashboards and data visualisations to explain the results and behaviour of models and analyses. Familiarity with SQL and 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 ❯

ability to liaise between IT and trading desks Production stability mindset and ability to work with infrastructure and support teams Qualifications Bachelor's degree (or equivalent) in Computer Science, Mathematics, Physics, or Engineering Postgraduate qualifications in advanced computing or statistical disciplines are desirable Competencies & Values Ability to quickly learn and apply new technologies Proactive in contributing ideas and innovations to More ❯

closely with product, services, and partner organizations on enablement activities. We're looking for candidates who have: A bachelor's degree or higher in computer science, data science, statistics, mathematics, economics, or a related field Solid experience in a data science, analytics, or consulting role, preferably in the cryptocurrency, financial services, or cybersecurity domains Proficiency in Python, Spark, SQL, and More ❯

rigorous mathematical problem-solving skills, and experience in P&L and risk systems or in another Front Office development capacity. Specifically, you should have: A bachelor's degree in mathematics, physics, computer science, engineering, finance, or a related field Proven leadership experience as a UI Technical Lead or similar role, with a strong track record of UI team building and More ❯

maintaining clear documentation of pricing models and strategies. What you'll need to succeed A background in distribution is required for this role. Bachelor's degree in Economics, Business, Mathematics, Statistics, Finance, or a related field. A Master's degree or certification in pricing are a plus. 2+ years of experience in dynamic pricing, revenue management, or a related analytical More ❯

use the data we have available Proven ability to work in a fast-paced environment and manage multiple priorities Bachelor's degree in a relevant field e.g. Computer Science, Mathematics, Statistics, etc. Charlotte Tilbury is a fast-paced and dynamic environment where nimble mindsets, striving to deliver the best and wanting to be part of a global dreamteam are key. More ❯

ensure data quality and operational performance. Qualifications Bachelor's degree in Data Science, Computer Science, or a related field. Doctorate in a quantitative field such as Statistics, Computer Science, Mathematics, or Engineering. A "full stack" data scientist - with extensive expertise of data engineering, analysis and analytics, as well as machine learning. 6+ years of experience working in Data Science, preferably More ❯

strategy and driving projects from ideation to deployment, increasing your pain threshold to deliver real value What We Value Strong engineering background, preferred in fields such as Computer Science, Mathematics, Software Engineering, Physics, and Data Science. A highly analytical mindset and eagerness to solve technical problems with data structures, storage systems, cloud infrastructure, front-end frameworks, and other technical tools. More ❯

high-performing teams. Proficiency in Python, SQL, and deep learning frameworks such as TensorFlow and PyTorch. Experience with R is a nice-to-have. A strong foundation in statistics, mathematics, and programming is essential for success in this role. The following will be an advantage; Problem-Solving: Ability to translate business assumptions and rules into feature engineering and model explainability More ❯

map common processes and establish playbooks for them Help decide on tooling used during the Data Science project lifecycle Qualifications Education: Bachelor's or Master's degree in Statistics, Mathematics, Actuarial Science, Data Science or related field Experience: At least 5 years proven experience in insurance pricing and applied ML, including leading projects and people, with a particular focus on More ❯

common processes and establish playbooks for them Help decide on tooling used during the Data Science project lifecycle Required Skills Education: Bachelor's or Master's degree in Statistics, Mathematics, Actuarial Science, Data Science or related field Experience: At least 5 years proven experience in insurance pricing and applied ML, including leading projects and people, with a particular focus on More ❯