151 to 175 of 1,071 Mathematics Jobs in London

system logs and performance to debug issues and optimize operations using forensic analysis tools. Qualifications: Bachelor's or Master's degree in Computer Science, Mathematics, Data Analytics, or a related field. 3+ years of experience developing and deploying production-grade Python software. 3+ years of experience with Python and high More ❯

best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation. BASIC QUALIFICATIONS - Bachelor degree in computer science engineering, economics, statistics, mathematics, econometrics, or a similar quantitative field. - Demonstrated ability to interact with business customers, gather requirements and deliver complete scalable and sustainable BI solutions. - 5+ years More ❯

Five plus years of experience in a technical consulting role, preferably in AdTech ecosystem with Bachelor's degree in a quantitative field (Computer Science, Mathematics, Statistics, Economics etc.) Demonstrated experience with Prebid and Header Bidding implementations with respect to OTT/CTV. Technology : Solid understanding of VoD workflows, OTT delivery More ❯

mining, and neural networks. Expertise in statistical modeling and techniques such as regression, hypothesis testing, simulation, resampling methods, and stratification. Degree in Data Science, Mathematics, Physics, Computer Science, Engineering, or another quantitative field (or equivalent experience). Strong business acumen with a problem-solving mindset, ideally with experience in fintech More ❯

junior engineers. Ideal candidates will: Be passionate about the energy sector. Have practical leadership experience in motivated engineering teams. Possess a strong quantitative background (mathematics, physics, computer science, engineering). Excel at problem-solving and continuous learning. Have experience in building complex systems. Be proficient in programming languages such as More ❯

policies when using equipment such as laptops and phones. EDUCATION, EXPERIENCE & RELEVANT SKILLS EDUCATION & QUALIFICATIONS A first degree in a science, technology, engineering, or mathematics (STEM) subject, preferably science or pharmacy, with a 2:1 classification or higher. A research degree in a STEM subject with a significant computational component More ❯

policies when using equipment such as laptops and phones. EDUCATION, EXPERIENCE & RELEVANT SKILLS EDUCATION & QUALIFICATIONS A first degree in a science, technology, engineering, or mathematics (STEM) subject, preferably science or pharmacy, with a 2:1 classification or higher. A research degree in a STEM subject with a significant computational component More ❯

policies when using equipment such as laptops and phones. EDUCATION, EXPERIENCE & RELEVANT SKILLS EDUCATION & QUALIFICATIONS A first degree in a science, technology, engineering, or mathematics (STEM) subject, preferably science or pharmacy, with a 2:1 classification or higher. A research degree in a STEM subject with a significant computational component More ❯

the ability to successfully manage and oversee multiple trials simultaneously, ensuring deadlines are met. BS/MS degree in life science, computer science, statistics, mathematics, or equivalent relevant degree. Must also be fluent in English Must have early development experience, ideally in Oncology Excellent interpersonal skills with a proven ability More ❯

offs, best practices, and risk mitigation. Eligibility for the UK Security Clearance. PREFERRED QUALIFICATIONS Master's degree in a quantitative field such as statistics, mathematics, data science, engineering, or computer science. Knowledge of the primary AWS services (ec2, elb, rds, route53 & s3). Experience with software development life cycle (sdlc More ❯

controls. Contribute to strategic, cross-functional initiatives within the model risk organization. What we'll need from you? Degree in a quantitative field (physics, mathematics, computer science, financial engineering, etc.) with relevant experience required. Fewer years of relevant experience will be considered for candidates with higher academic qualifications and/ More ❯

e.g., Tableau, Power BI, Excel) and advanced analytics tools (e.g., SQL, Python, R) Have a degree in a relevant field (e.g., Data Science, Statistics, Mathematics, Computer Science, Business Analytics, Economics) What we offer Our roles offer more than just a job, you'll become part of the William Hill family More ❯

in hiring and mentoring, help foster a collaborative, ambitious and outcome-oriented culture. Key Requirements: Bachelor's Degree (or above) in Computer Science/Maths/Physics or similar discipline. 6+ years of relevant, broad data engineering/finance experience - prior experience working as part of a growth-focused team More ❯

improvements, and customer segmentation. Adhoc responsibilities as dictated by line management. Experience & Qualifications: Degree educated in a numerical or technical discipline (e.g. Computer Science, Mathematics, Data Science, Economics) or relevant experience in a regulated financial services environment. Proven experience in business intelligence, data analysis, or reporting roles. Strong SQL skills More ❯

data governance and privacy policies to ensure compliance with relevant regulations and industry best practices. WHO YOU ARE Masters or PhD in Computer Science, Mathematics, Statistics, Physics, Economics, or a related field. Experience analyzing large volumes of data. Good understanding of data fusion, enrichment, and synthetic methodologies. Excellent analytical skills More ❯

Actively engaging in Scrum Sprints to win as a team BASIC QUALIFICATIONS • A bachelor's or master's degree - ideally in Engineering, Computer Science, Mathematics, or Econometrics • Previous analytical work experience • Strong data analysis skills, ability to produce, interpret and draw conclusions from data • Experience in mathematical modeling (statistics, optimization More ❯

via engineering test bed emulation and simulations What you'll need Essential Knowledge, Qualifications & Skills: Qualified in a numerate subject, Physics or Engineering or Maths in addition to several years industrial experience, or comparable expertise. Strong experience with projects or large systems engineering programmes within industry in roles equivalent to More ❯

Able to work effectively as part of a team and independently Qualifications and knowledge: 2.1 bachelors or advanced degree in computing, science, engineering or maths; OR 2.1 bachelors or advanced degree from any discipline + demonstrated desire and aptitude to work in tech Knowledge of the Microsoft office suite, particularly More ❯

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 industries. Proficiency in More ❯

of market structure (an asset). Experience with software/programming languages, including some or all of VBA and SQL. A university degree in Mathematics, Engineering, or Computer Science (preferred). Familiarity with algorithmic trading strategies and smart order routing systems (an asset). A good understanding of statistics and More ❯

solution, and communicate with stakeholders Bonus: An understanding of data analysis and statistics A strong numerical or technical background, underpinned by a degree in maths, physics, computer science, engineering, or similar industry experience. Experience with Django Experience with relational databases (ideally PostgreSQL) The salary We expect to pay from More ❯

solutions, help build predictive models and design interactive data applications. We're Looking for Teammates With: Bachelor's degree in Quantitative Finance, Computer Science, Mathematics, Statistics, or a related STEM field, with 2+ years of experience on the buy-side or sell-side. Strong communication skills with the ability to More ❯

solution, and communicate with stakeholders Bonus: An understanding of data analysis and statistics A strong numerical or technical background, underpinned by a degree in maths, physics, computer science, engineering, or similar industry experience. Experience with Django Experience with relational databases (ideally PostgreSQL) The salary We expect to pay from More ❯

with an exceptional group of product, engineering, and science leaders. BASIC QUALIFICATIONS - PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning - Experience in building More ❯

re excited if you have: Extensive experience in data science and analytics, with a strong foundation in a quantitative field (e.g., Statistics, Data Science, Mathematics, Economics, Engineering, or Computer Science). A proven track record in consumer products, digital media, or entertainment industries. Proficiency in SQL, SAS, R, Python, or More ❯