1 to 25 of 94 Permanent Numerate Degree Jobs in England

and work alongside world class engineers, and data scientists. Act as subject matter expert for our digital advertising. What We Are Looking For Degree in Mathematics/Statistics/Computer Science or a related engineering/technical or quantitative field. Min 4 years of experience as a Data more »

the freedom to explore ideas and contribute to creating cutting-edge simulations, algorithms, and machine learning-based solutions. You will have: A recent degree in Mathematical Sciences, Computer Science, Physics or a related field. Some practical experience from internships, university projects, or similar research activities. Skills in scientific more »

and visualisations to present data-driven insights to stakeholders. Stay updated on industry trends and best practices in data analysis. Requirements: Bachelor's degree in mathematics, statistics, computer science, or related field. Proficiency in data analysis tools such as Python, R, or SQL. Strong analytical and problem-solving more »

and visualisations to present data-driven insights to stakeholders. Stay updated on industry trends and best practices in data analysis. Requirements: Bachelor's degree in mathematics, statistics, computer science, or related field. Proficiency in data analysis tools such as Python, R, or SQL. Strong analytical and problem-solving more »

and visualisations to present data-driven insights to stakeholders. Stay updated on industry trends and best practices in data analysis. Requirements: Bachelor's degree in mathematics, statistics, computer science, or related field. Proficiency in data analysis tools such as Python, R, or SQL. Strong analytical and problem-solving more »

and visualisations to present data-driven insights to stakeholders. Stay updated on industry trends and best practices in data analysis. Requirements: Bachelor's degree in mathematics, statistics, computer science, or related field. Proficiency in data analysis tools such as Python, R, or SQL. Strong analytical and problem-solving more »

and visualisations to present data-driven insights to stakeholders. Stay updated on industry trends and best practices in data analysis. Requirements: Bachelor's degree in mathematics, statistics, computer science, or related field. Proficiency in data analysis tools such as Python, R, or SQL. Strong analytical and problem-solving more »

and visualisations to present data-driven insights to stakeholders. Stay updated on industry trends and best practices in data analysis. Requirements: Bachelor's degree in mathematics, statistics, computer science, or related field. Proficiency in data analysis tools such as Python, R, or SQL. Strong analytical and problem-solving more »

and visualisations to present data-driven insights to stakeholders. Stay updated on industry trends and best practices in data analysis. Requirements: Bachelor's degree in mathematics, statistics, computer science, or related field. Proficiency in data analysis tools such as Python, R, or SQL. Strong analytical and problem-solving more »

skills 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 more »

these) Excellent communication and collaboration skills. Ability to work in a fast-paced, dynamic environment and manage multiple projects simultaneously. Ideal Bachelor's degree in Mathematics, Computer Science, Information Systems, or a related field. At least 4+ years of experience in a data analysis role. Strong client facing more »

of quantitative models to ensure accuracy and robustness. Assist in the preparation of reports and presentations summarising analysis findings. Must Have: Bachelor's degree in Mathematics, Statistics, Finance, Economics, or a related field. Strong analytical skills with a passion for problem-solving. Proficiency in programming languages such as more »

new 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 more »

Knowledge and Experience Strong quantitative and analytical background -- bachelor’s degree in finance, mathematics, engineering, physics, applied statistics, data science, or similar numerate discipline (master’s degree preferred) Extensive experience as a quantitative analyst or in data science/analytics with significant exposure to financial more »

to join their Analytics/Data Science team. The ideal candidate must have some programming experience (e.g Python, SAS, R etc) and have a numerate degree (e.g. Mathematics, Statistics, Operational Research, Economics, Physics etc). (No sponsorship available and must be able to work 3 days per more »

Stay updated on industry trends and advances in data science Requirements: Essential: 1-2 years of experience in a data-focused industrial environment Degree in Mathematics, Statistics, or a related field, with a strong academic track record Exceptional problem-solving and analytical abilities Proficiency in Python, particularly with more »

pricing datasets used in the rate reviews and pricing projects. Produce reports outlining findings and communicating key results to stakeholder Requirements: Numerical based degree, such as (but not limited to) Actuarial Science, Mathematics, Statistics, Engineering or Economics. Experience in at least one of R/Python/SAS more »

experience in analytical roles, showcasing proficiency in generating thorough analyses and insights. Proficient in SQL and competent in visualisation tools such as Tableau. Strong numerate degree from a Russel group university. Excellent written and verbal communication skills. While beneficial, prior experience in fin-tech is not mandatory. more »

Contribute to a culture of innovation, striving for excellence and setting new benchmarks in systematic fixed income trading. Essential Qualifications: Masters or PhD Degree in mathematical computer science, statistics, quant finance, machine learning, or a related field Solid grounding in financial mathematics, quantitative modeling, and programming languages (Python more »

team 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 more »

knowledge and experience using Python Excellent communication skills and experience working closely with stakeholders Educated to at least degree level in a numerate degree SALARY AND BENEFITS Up to £55,000 base salary Discretionary bonus Private health insurance Pension contribution scheme Cycle to work scheme more »

data visualisation SKILLS AND EXPERIENCE Experience in SQL is a must Experience in Excel Experience in commercial and financial analytics is a plus Strong numerate degree HOW TO APPLY Please register your interest by sending your CV to Shane McWilliams via the Apply link on this page. more »

pricing datasets used in the rate reviews and pricing projects. Produce reports outlining findings and communicating key results to stakeholder Requirements: Numerical based degree, such as (but not limited to) Actuarial Science, Mathematics, Statistics, Engineering or Economics. Experience in at least one of R/Python/SAS more »

is essential. Well versed in the UK personal lines insurance space and understand how the market works. Excellent written and verbal communication skills. Strong numerate degree from a Russel Group University. THE BENEFITS Up to £55,000 salary. Remote working. Benefits package. Contributory pension scheme with a more »

of developing applications to solve business problems Skills we’d love to see/Amazing Extras: Expertise/Technical role requirements: Analytical background including numerate degree (or equivalent experience) Data science skillset, including coding experience in Python, R or similar language Understanding of Artificial Intelligence and Machine more »