24 of 24 Remote Numerate Degree Jobs in London

areas and corresponding datasets across the NHS, wider public sector and beyond. Practical expertise of machine learning algorithms used to detect fraudulent activity. Qualifications Essential Degree, in numerate subject or equivalent experience/learning developed in a similar role (e.g., Mathematical, Data Science, Computer Science, Physics, or related discipline). For the purposes of this job description … necessary drive, leadership, and direction. Have worked in a statistical/data science field and are able to demonstrate continuous professional development. Desirable Master's degree in numerate subject or equivalent experience/learning developed in a similar role (e.g., Mathematical, Data Science, Computer Science, Physics, or related discipline). Communication Skills Essential Advanced written and verbal More ❯

Strong business acumen and commercial awareness • Proven technical skills including SQL, Excel and Python (or similar) • Experience in design and creation of data visualisations and dashboards e.g. Tableau Qualifications • Numerate Degree is essential Experience • 2+ years in an Analyst role • Analysing complex issues, packaging findings and presenting effectively to stakeholders • Managing databases and/or blending data More ❯

Optimizing processes and methodologies on 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 based on large data volumes More ❯

applications and components while working alongside super-smart colleagues challenging and rewriting the rules, not just following them. What we expect from you 5+ years of experience required. Degree in Statistics, Maths, Physics, Economics or similar field Programming skills (Python and SQL are a must have, Pyspark is recommended) Analytical Techniques and Technology Experience with and passion for … t just meet your expectations. We'll defy them. So you'll enjoy the comprehensive rewards package you'd expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off. You'll also benefit from an investment in cutting-edge technology More ❯

into broader marketing performance strategies. Participate in Go-To-Market Activities to drive Accenture's Marketing Data & AI revenue pipeline Qualification Basic Qualifications Bachelor's or Master's degree in Statistics, Economics, Mathematics, Marketing Science, or a related field. Strong experience in advanced analytics, includi marketing mix modelling . Proven experience in managing client relationships and leading project More ❯

data across many markets Run simulations and model market for both liquid and illiquid assets Improve and maintain supporting infrastructure in Python and C++. Hard Skills Requirements: Quantitative degree in Mathematics, Statistics, Computer Science, Physics or related qualitative field. Post-graduate degrees may be a plus but not expected or required. Advanced Python coding skills Experience and advanced More ❯

SQL and Python. Experience with KYC and AML regulatory requirements. Experience with fraud prevention tools such as CIFAS, Onfido, Experian, GBG. Certifications like CFE or CAMS are preferred. Degree in Mathematics, Statistics, Engineering, Computer Science, Finance, or related fields is advantageous. Benefits. Income Protection, Share Options, 5% cashback on in-app purchases, and WFH setup allowance. Private Medical More ❯

strategies through data experimentation. Advanced 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 in-app purchases. £200 for More ❯

feedback on tooling and to build impactful technology Communicate complex concepts to technical and non-technical stakeholders through clear storytelling Required Skills Education: Bachelor’s or Master’s degree in Statistics, Data Science, Computer Science or related field Experience: Proven experience in ML model lifecycle management ● Core Competencies: Model lifecycle: You’ve got hands-on experience with managing More ❯

feedback on tooling and to build impactful technology Communicate complex concepts to technical and non-technical stakeholders through clear storytelling Required Skills Education: Bachelor’s or Master’s degree in Statistics, Data Science, Computer Science or related field Experience: Proven experience in ML model lifecycle management ● Core Competencies: Model lifecycle: You’ve got hands-on experience with managing More ❯

product improvements aligned with our mission to provide leading news aggregation services. You and your skills The ideal candidate will: Possess a highly analytical mindset, supported by a degree in mathematics, computer science, statistics, physics, or equivalent experience Have strong coding skills in high-level languages such as Perl, Python, C/C++, Go, Rust, NodeJS, Java, or More ❯

product improvements aligned with our mission to provide leading news aggregation services. You and your skills The ideal candidate will: Possess a highly analytical mindset, supported by a degree in mathematics, computer science, statistics, physics, or equivalent experience Have strong coding skills in high-level languages such as Perl, Python, C/C++, Go, Rust, NodeJS, Java, or More ❯

feedback on tooling and to build impactful technology Communicate complex concepts to technical and non-technical stakeholders through clear storytelling Required Skills Education: Bachelor's or Master's degree in Statistics, Data Science, Computer Science or related field Experience: Proven experience in ML model lifecycle management Core Competencies: Model lifecycle: You've got hands-on experience with managing More ❯

and apply causal inference techniques to solve business problems. Work with cross-functional stakeholders in determining requirements for building a world-class experimentation platform. Key Requirements A postgraduate degree in statistics, machine learning, or similar OR demonstrable experience with the data science lifecycle - i.e. from problem definition to model deployment and beyond (monitoring and improvement). In-depth More ❯

validation Exposure to IFRS9 and wider credit models is essential Experience in Python/SQL/SAS/R Educated to at least degree level in a numerate degree SALARY AND BENEFITS Up to £65,000 base salary Hybrid work model Private medical care 25 days holiday HOW TO APPLY Please register your interest by More ❯

validation Exposure to IFRS9 and wider credit models is essential Experience in Python/SQL/SAS/R Educated to at least degree level in a numerate degree SALARY AND BENEFITS Up to £65,000 base salary Hybrid work model Private medical care 25 days holiday HOW TO APPLY Please register your interest by More ❯

validation Exposure to IFRS9 and wider credit models is essential Experience in Python/SQL/SAS/R Educated to at least degree level in a numerate degree SALARY AND BENEFITS Up to £65,000 base salary Hybrid work model Private medical care 25 days holiday HOW TO APPLY Please register your interest by More ❯

and develop junior analysts, supporting both technical and career development. YOUR PROFILE Experience in credit risk and lending strategy (SME or consumer lending preferred). Strong quantitative background (degree in Maths, Engineering, Physics, or similar). Experience building and maintaining predictive credit models. Fluency in Python (Pandas, NumPy, SciPy, Matplotlib) and SQL. Experience with advanced modelling techniques (e.g. More ❯

and develop junior analysts, supporting both technical and career development. YOUR PROFILE Experience in credit risk and lending strategy (SME or consumer lending preferred). Strong quantitative background (degree in Maths, Engineering, Physics, or similar). Experience building and maintaining predictive credit models. Fluency in Python (Pandas, NumPy, SciPy, Matplotlib) and SQL. Experience with advanced modelling techniques (e.g. More ❯

supporting trading desks, product control, and traded risks. Analyze and resolve issues in existing models. Proven experience as a Quantitative Analyst with expertise in financial model development. A degree in Mathematical Finance , Science , or Mathematics from a top-tier university. In-depth knowledge of industry-standard pricing models such as Black-Scholes , Bachelier , local and stochastic volatility models More ❯

analytical and commercial solutions for internal and external clients. We need someone who can combine business requirements, existing processes and data knowledge to create analytical solutions. · Relevant numerical degree with a 2:1 or above · Experience in programming languages SQL and Python in a credit risk environment · An innovative mindset and attention to detail · You possess excellent written … and verbal communication skills with the ability to communicate with team members and clients at various levels, including business leaders · Relevant numerical degree with a 2:1 or above · Experience in programming languages SQL and Python in a credit risk environment · An innovative mindset and attention to This is a hybrid position requiring 3 days in the office More ❯

concise presentations and dashboards for senior non-technical stakeholders Partner with marketing, data engineering and product teams to integrate models into live reporting pipelines Must-Haves Master's degree in Statistics, Econometrics, Data Science or related quantitative field Hands-on experience with causal-inference methods, including synthetic control techniques Deep conceptual understanding of statistical theory Excellent verbal and More ❯

years of high-level Android development experience, with a wider software engineering background (8+ years in total) Excellent Kotlin skills and comfortable with other languages e.g. Java A strong numerate Degree (Computer Science/similar) Able to work independently, as well as confidently pair program with others Good understanding of Android lifecycle, MVVM Compose UI with knowledge More ❯

years of high-level Android development experience, with a wider software engineering background (8+ years in total) Excellent Kotlin skills and comfortable with other languages e.g. Java A strong numerate Degree (Computer Science/similar) Able to work independently, as well as confidently pair program with others Good understanding of Android lifecycle, MVVM Compose UI with knowledge More ❯