1 to 25 of 69 Permanent Numerate Degree Jobs in London

in a Machine Learning or ML Engineering role, with hands-on experience in deep learning frameworks (e.g., TensorFlow, PyTorch). Motivated recent graduates are encouraged to apply! A degree in Mathematics, Engineering, Statistics, Computer Science, Physics, or a related field. An advanced degree is highly preferred. Proficient in Python and PySpark; experience with SQL or similar 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 ❯

and batch data pipelines using Kafka and DBT. Familiarity with Docker, Terraform, and Kubernetes for application orchestration and deployment. A strong numerical or technical background, ideally with a degree in mathematics, physics, computer science, engineering, or a related field. Understanding of data science concepts and experience collaborating with data scientists to productionise machine learning models. Active participation in 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 ❯

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 ❯

Experience in scripting for automation (e.g. Python) and advanced SQL skills. - Experience with theory and practice of information retrieval, data science, machine learning and data mining - Bachelor's Degree PREFERRED QUALIFICATIONS - Master's degree in statistics, data science, or an equivalent quantitative field - Experience working directly with business stakeholders to translate between data and business needs 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 ❯

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 ❯

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 ❯

and train stakeholders. Identify and 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 projects. Advanced experience using R 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 ❯

in the development of analytics models to predict trends and behaviors. Engage in continuous learning to stay abreast of the latest analytics technologies and methodologies. Qualifications: Bachelor's degree in Mathematics, Statistics, Computer Science, or a related field, with a strong academic record. Demonstrated interest in data analysis through coursework, projects, or internships. Proficiency in at least one 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 ❯

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 ❯

compelling storytelling and presentations Prioritise multiple tasks and workstreams simultaneously and own projects end to end Experience and qualifications: Bachelor's, Master's, PhD; Mathematics, Science, Statistics, Economics degree; or Equivalent related professional experience is applicable 3+ years of experience in a similar analytical role Strong Python and SQL skills with demonstrated experience to structure, transform and analyze More ❯

our Country leads, who own their respective market P&Ls Who you are: You are analytic, inquisitive and have a huge thirst for data You are of course naturally numerate and advanced in Excel/Google Sheets - and therefore you probably have a degree in Maths, Computer Science, Economics, or in a similar field Should you have More ❯

and quantitative analyses and with either experience in financial markets or a keen interest to learn about them. Skills & Experience Required: Advanced analytical skills (typically evidenced by a degree in maths, physics, computer science, engineering, etc.) A deep passion for technology and software development Excellence in applied programming skills - Python, Rust, C++ or other major languages (experience with More ❯

the data/BI space - Experience with data visualization using Tableau, Quicksight, or similar tools PREFERRED QUALIFICATIONS - Experience managing, analyzing and communicating results to senior leadership - Master's degree in statistics, data science, or an equivalent quantitative field Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We 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 ❯

Familiarity with data analytics and Machine Learning processes. An understanding of complex data systems, including event-sourced data models. A strong numerical or technical background, ideally with a degree in maths, physics, computer science, engineering, or a related field. Front-end development experience. The salary We expect to pay from £100,000 - £140,000 for this role. But More ❯