26 to 50 of 300 Numerate Degree Jobs in London

segmentation techniques. Ensure data quality and integrity by working with data engineering teams to manage and preprocess large datasets. What you'll need: Bachelor’s or Master’s degree in Statistics, Data Science, Economics, or a related field. 7+ years of proven experience in customer analytics, customer segmentation, or marketing analytics roles. Degree in Machine Learning More ❯

essential as experience. If you feel you have work examples and projects that illustrate what we need, we're happy to have a conversation. Technical requirements: Bachelor's degree or higher degree in statistics, data science, computer science, economics, or another quantitative field. 7+ years' experience applying data science/machine learning in a commercial setting. More ❯

insight driven decision making. This involves designing hypotheses and tests to allow for measurable results, delivering forecasts, measuring the outcome and relaying recommendations to relevant stakeholders. Your Talent: Degree in Maths, Computer Science, Statistics or a related field. Experience with analysing large data sets, identifying insights, trends and opportunities in a retail company. A natural problem solver with More ❯

and enhance the eco-system around the library, including communication with other departments and groups within the firm Promote C++ coding and design best practices Requirements Bachelor's degree in Maths, Computer Science, or other relevant discipline (higher qualification is a plus) 2+ years of professional experience as in C++ Development Modern C++ programming experience in C+/ More ❯

outcomes for our customers. Experience with SQL and Python. Strong communication and presentation skills, with an ability to explain findings to both a technical and non-technical audience. A numerate degree in Mathematics, Statistics or related subjects. We recognise we wouldn't be where we are today without our colleagues, that's why we offer excellent benefits More ❯

Use unconventional data sources to drive innovation Conduct research and statistical analysis to build and refine monetization systems for trading signals Your Skills & Talents Bachelors, Masters or PhD degree in Mathematics, Statistics, Physics, Computer Science, or another highly quantitative field Strong knowledge of probability and statistics (including machine learning, time-series analysis, pattern recognition, NLP) Prior experience working More ❯

to a Python/C Java mix Solid analytical problem-solving skills Financial markets (rates/fx/credit) experience and mathematics/modelling/statistics experience Advanced degree in Computer Science (or similar scientific field) from a top-tier university Python data science stack and/or cloud technologies Benefits & Incentives Strong salary + bonuses Collaborative culture More ❯

ability to interpret complex datasets and deliver meaningful insights. Excellent communication skills, with the ability to explain data findings clearly to both technical and non-technical audiences. A degree in mathematics, statistics, data science, business, computer science , or a related field (or equivalent experience). Experience in the insurance, reinsurance, or related sectors is beneficial. High attention to More ❯

whose primary focus is managing the credit risk profile of our lending portfolios to support iwoca's broader business goals and mission. The requirements Strong analytical background: a degree in Mathematics, Physics, Engineering, or similar quantitative field; or equivalent experience. 3+ years experience in credit risk at a traditional or Fintech lender. Passion for analytical problem-solving, with More ❯

whose primary focus is managing the credit risk profile of our lending portfolios to support iwoca's broader business goals and mission. The requirements Strong analytical background: a degree in Mathematics, Physics, Engineering, or similar quantitative field; or equivalent experience. 3+ years experience in credit risk at a traditional or Fintech lender. Passion for analytical problem-solving, with More ❯

theory and practice of design of experiments and statistical analysis of results - 5. Experience with data visualization using Tableau, Quicksight, or similar tools PREFERRED QUALIFICATIONS - 1. Master's degree in statistics, data science, or an equivalent quantitative field - 2. Prior Experience in Transportation Logistics business - 3. Superior verbal and written communication and presentation skills, experience working across functional More ❯

communication and presentation skills. Strong analytical and critical thinking skills. Exceptional time management and organizational skills to manage multiple deadlines. Ability to travel. Honors and/or advanced degree in Statistics, Economics, Mathematics, Computing, Business, or a related technical field. PREFERRED At least two years of hospitality or retail industry experience. BENEFITS As a full-time RMS employee More ❯

exposure to multiple areas of research, you will have the opportunity to rapidly grow your knowledge of quantitative finance. Candidate Requirements: Active PhD graduates or Postdocs pursuing a degree in mathematics, statistics, machine learning, physics, computer science, or other scientific discipline Exceptional mathematical, analytical, and problem-solving ability Programming proficiency in Python or C++ Experience in solving data More ❯

not just analysis. Ability to communicate clearly with both technical and non-technical audiences. Self-starter who thrives in fast-moving environments with a strong sense of ownership. A numerate degree (e.g. Maths, Stats, Engineering, Computer Science). Desirable: Experience using Databricks or working in a cloud-based environment like Azure. Exposure to MLOps, version control, or More ❯

whose primary focus is managing the credit risk profile of our lending portfolios to support iwoca's broader business goals and mission. The requirements Strong analytical background: a degree in Mathematics, Physics, Engineering, or similar quantitative field; or equivalent experience. 3+ years experience in credit risk at a traditional or Fintech lender. Passion for analytical problem-solving, with More ❯

whose primary focus is managing the credit risk profile of our lending portfolios to support iwoca's broader business goals and mission. The requirements Strong analytical background: a degree in Mathematics, Physics, Engineering, or similar quantitative field; or equivalent experience. 3+ years experience in credit risk at a traditional or Fintech lender. Passion for analytical problem-solving, with More ❯

whose primary focus is managing the credit risk profile of our lending portfolios to support iwoca's broader business goals and mission. The requirements Strong analytical background: a degree in Mathematics, Physics, Engineering, or similar quantitative field; or equivalent experience. 3+ years experience in credit risk at a traditional or Fintech lender. Passion for analytical problem-solving, with More ❯

detailed analytical reports/presentations to audiences of varying technical knowledge. Able to communicate effectively with key stakeholders across different levels of the business. Bachelor’s or advanced degree in statistics, industrial engineering, mathematics, economics, computer science, finance, or related field (Preferred) Proficiency in Microsoft Excel, SQL and Powerpoint. Other data visualization or statistical software a plus. Impact More ❯

various process improvement projects to increase operational efficiency and also handling daily production support issues in a timely and efficient manner. Essential Skills & Experience: Bachelor's or advanced degree in statistics, industrial engineering, mathematics, economics, computer science, finance, or related field. Comfortable working with data and presenting detailed analytical reports/presentations to audiences of varying technical knowledge. More ❯

and independent individual It would also be nice for you to have: Knowledge of SQL, VBA, R, SAS, C++, Latex, git and any other programming or statistical software Degree level education, or equivalent, in a quantitative field such as Mathematics, Statistics, Mathematical Finance, Data Science, Operations Research, Quantitative Economics or Engineering A working knowledge of Python What else More ❯

detailed analytical reports/presentations to audiences of varying technical knowledge. Able to communicate effectively with key stakeholders across different levels of the business. Bachelor's or advanced degree in statistics, industrial engineering, mathematics, economics, computer science, finance, or related field (Preferred) Proficiency in Microsoft Excel, SQL and Powerpoint. Other data visualization or statistical software a plus. Impact More ❯

future of iwoca's German credit strategy - helping small businesses thrive while scaling a fast-growing portfolio in a data-first environment. Requirements Strong analytical background with a degree in Mathematics, Physics, Engineering, or a similar quantitative field (or equivalent experience). 3 to 5 years' experience in credit risk and lending strategy, ideally in consumer or SME More ❯

maintaining consistent performance while mitigating fraud risks effectively. Working with the database and performing detailed analysis to detect patterns and estimate impact. What we're looking for: University degree in Mathematics, Statistics, Economics or similar. 4+ years previous experience working in the payments, gaming, gambling, or crypto industry on risk and fraud/AML and compliance topics, either More ❯

and enhance the eco-system around the library, including communication with other departments and groups within the firm Promote C++ coding and design best practices Requirements Bachelor's degree in Maths, Computer Science, or other relevant discipline (higher qualification is a plus) 2+ years of professional experience in C++ Development Modern C++ programming experience in C++17/ More ❯

for solving complex business challenges. We're focused on developing scalable solutions that drive operational efficiency and strategic decision-making across European transportation networks. BASIC QUALIFICATIONS - Bachelor's degree in Computer Science, Data Science, Engineering, or related technical field - Professional experience in Business Intelligence, data engineering or data analytics - Advanced proficiency in SQL and Python - Knowledge of data … working directly with business stakeholders to translate between data and business needs - Experience programming to extract, transform and clean large (multi-TB) data sets PREFERRED QUALIFICATIONS - Master's degree in statistics, data science, or an equivalent quantitative field - Experience using Cloud Storage and Computing technologies such as AWS Redshift, S3, Hadoop, etc. - Experience programming to extract, transform and More ❯