1 to 25 of 100 Permanent Numerate Degree Jobs in London

a continuous improvement basis Coaching and mentoring fellow team members Innovating with data to develop new analytic techniques and algorithms Ideal Experience Required Degree in Mathematics, Science, Computer Science or similar Minimum 5 years of work experience in data analytics Demonstrable experience of successfully delivering data analytics projects More ❯

data models, processing pipelines, and back-end services supporting the data science teams, automating processes, building integrations, and analytics. Desired skills: A university degree in Mathematics, Computer Science, Engineering, Physics or similar. 5+ years of relevant experience in Data Engineering, warehousing, ETL, automation, cloud technologies, or Software Engineering More ❯

real-world operational problems. You’ve built and deployed optimisation algorithms that balance multiple constraints in fast-changing systems. You have: Have a degree in mathematics, physics, computer science, data science or similar 4+ years of experience working on optimisation, routing, scheduling, or applied OR problems Extensive experience More ❯

real-world operational problems. You’ve built and deployed optimisation algorithms that balance multiple constraints in fast-changing systems. You have: Have a degree in mathematics, physics, computer science, data science or similar 4+ years of experience working on optimisation, routing, scheduling, or applied OR problems Extensive experience More ❯

role requires skills in both prototyping and developing individual solutions but also implementation and integration in a production environment. Desired Skills: A university degree in Mathematics, Computer Science, Engineering, Physics or similar. 6+ years of relevant experience in several areas of Data Mining, Classical Machine Learning, Deep Learning More ❯

analytics and econometric modelling tasks, working under the supervision of project leads. The ideal skills for this role are: Must have: An advanced degree in statistics, mathematics, applied econometrics, applied economics, business economics or a related quantitative field Strong understanding of macroeconomic, demographic, international finance and trade concepts More ❯

reach out to relevant domain experts and stakeholders to maximize impact. Experience and qualifications: PhD, Masters, or Bachelors (preferably in Mathematics or Scientific degree). 7+ years of work experience OR 4+ years in a comparable data analytics role. Experience delivering data-driven insights and recommendations through multiple More ❯

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++ More ❯

years in sports betting with a focus on quant innovation. Skills: Machine learning, AI expertise, and strong C# & Python coding ability. Education: Good degree in Mathematics or a STEM field preferred. Knowledge: Deep understanding of sports trading and quantitative modelling. Interested? Apply to this role or email lucia.paolinelli More ❯

work across the development lifecycle, from prototyping to resolving data issues. Advocate for ClarusONE's data assets. Requirements: Education/Experience Bachelor's degree in Mathematics or a quantitative field; Master's or PhD preferred. At least 5 years' experience in analytics or data-centric roles. Experience in More ❯

compliance with legal standards. Write efficient, shareable code for data analysis and reporting. Engage with stakeholders to translate insights into actionable strategies. Qualifications Degree in Mathematics, Science, or related field (PhD, Masters, or Bachelors). 7+ years of relevant experience or 4+ years in a similar role. Proficiency More ❯

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 More ❯

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 More ❯

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 More ❯

Visa, MasterCard, or third-party providers. Create data extracts and perform detailed pattern analysis to estimate impacts. What we're looking for: University degree in Mathematics, Statistics, Economics, or a similar field. 3+ years experience in risk and fraud, AML, or compliance in payments, gaming, gambling, or crypto More ❯

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 More ❯

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 More ❯

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 More ❯

based on findings and select appropriate analytical approaches. Operate independently and mentor junior colleagues. Qualifications and Experience: Hold a PhD, Masters, or Bachelors degree in Mathematics or a related scientific field. 4+ years of experience with a Masters, or 6+ years in a similar data analytics role. Proven More ❯

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/ More ❯

starter as you will be the first remote UK employee hire and will play a critical role in EMEA expansion Experience with a degree in Mathematics, Economics, Computer Science, Information Management or Statistics Strong knowledge of and experience with reporting packages, databases, and programming Adept at queries, report More ❯

analysis) to enhance understanding of user behavior. Collaborate with performance marketing and CRM to maximise LTVs. What We're Looking For Bachelor's degree in Mathematics, Data Science, Statistics, Marketing, Business Analytics, Economics or a related field. 4+ years of experience in product analytics, data analysis, or a More ❯

in Tyche. We have a strong team of exceptional developers, and our IT team offer fully hosted solutions. Required Qualifications A bachelor's degree in Mathematics, Statistics, Actuarial Science, Computer Science or a similar field; Experience in the P&C (Re)Insurance sector in an actuarial role (minimum More ❯

products and influence prioritization Maintain internal/external relationships with the wider Marketing organization and Partners on strategic initiatives Experience and Qualifications: Undergraduate degree in Mathematics, Science, Statistics, Analytics, Engineering, or any related technical field Strong quantitative, analytical skills, including data manipulation, and processing large amounts of data More ❯

SQL (essential), with working knowledge of Python for data manipulation and strategy modelling. Strong understanding of regulatory requirements in collections and recoveries. A degree in Mathematics, Statistics, Engineering, Computer Science, Finance or related fields is an advantage. Benefits. Compensation & Savings: Income Protection. Share Options Scheme. 5% back on More ❯