1 to 25 of 1,064 Mathematics Jobs in the UK

business users to build reliable, scalable, and secure systems that underpin critical business applications. All applicants must hold a 2:1 or higher degree in Computer Science, Engineering, Physics, Mathematics, or a related field from a top-tier UK university. We particularly welcome candidates from Russell Group institutions , such as Oxford, Cambridge, Imperial, UCL, Manchester, Edinburgh, Warwick, Bristol , and similar. More ❯

value demonstration. Person Specification: To excel as a Principal Data Scientist, you will typically possess: Bachelor's/Master's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Physics, Engineering) or equivalent. Extensive professional experience in data science, with a proven track record of technically leading and successfully delivering complex, impactful, and production-grade data science solutions. A More ❯

value demonstration. Person Specification: To excel as a Principal Data Scientist, you will typically possess: Bachelor's/Master's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Physics, Engineering) or equivalent. Extensive professional experience in data science, with a proven track record of technically leading and successfully delivering complex, impactful, and production-grade data science solutions. A More ❯

of architectural decisions and implementation of our market making platforms, both strategically and day to day. Basic Qualifications Excellent academic record in a relevant quantitative field such as physics, mathematics, statistics, engineering or computer science. Strong programming skills in an object oriented or functional paradigm such as C++, Java or Python. Self-starter with strong self-management skills, ability to More ❯

Translate business questions into well scoped technical tasks and clearly communicate results to stakeholders, including senior leadership. You Have: Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field. 6+ years of experience in ML Engineering or Data Science (finance, fintech, or treasury a plus). Proficiency in Python-including pandas, scikit learn, TensorFlow More ❯

and non-experts, customers. Our Data Science projects vary from site to site, specific project details will be provided at the interview stage Qualifications/Requirements Currently studying a Maths, Physics, Physical/Engineering Sciences, Data Science, Statistics/Computer Science, or Mechanical/Aeronautical Engineering Bachelor's or integrated Master's degree. Other degree subjects may also apply. On More ❯

aws services (ec2, elb, rds, route53 & s3) - Experience with software development life cycle (sdlc) and agile/iterative methodologies - Master's degree in a quantitative field such as statistics, mathematics, data science, engineering, or computer science - Experience communicating across technical and non-technical audiences - Experience in using Python and hands on experience building models with deep learning frameworks like Tensorflow More ❯

across the business, with a focus on end-to-end machine learning solutions. Experience - Lead Data Scientist You will have: An M.Sc. or Ph.D. in: Machine Learning, Statistics, Applied Mathematics, Computer Science, Engineering, etc. Experience using Python is a must Knowledge of cloud technologies important (agnostic) A strong knowledge of statistical/machine learning models applied to real-world problems More ❯

across the business, with a focus on end-to-end machine learning solutions. Experience - Lead Data Scientist You will have: An M.Sc. or Ph.D. in: Machine Learning, Statistics, Applied Mathematics, Computer Science, Engineering, etc. Experience using Python is a must Knowledge of cloud technologies important (agnostic) A strong knowledge of statistical/machine learning models applied to real-world problems More ❯

Familiarity with Agile development methodologies (XP, SCRUM, Kanban) and continuous integration practises. Previous experience in UI design, optimisation, and development processes. A solid degree in Computer Science, Physics, Engineering, Mathematics, or a relevant analytical field. Deep understanding of algorithms, data structures, and design patterns. Excellent communication skills and a strong team player mentality. Knowledge of derivatives and options products, ideally More ❯

Familiarity with Agile development methodologies (XP, SCRUM, Kanban) and continuous integration practises. Previous experience in UI design, optimisation, and development processes. A solid degree in Computer Science, Physics, Engineering, Mathematics, or a relevant analytical field. Deep understanding of algorithms, data structures, and design patterns. Excellent communication skills and a strong team player mentality. Knowledge of derivatives and options products, ideally More ❯

e.g. Airflow, Dagster) Experience with streaming platforms (e.g. Kafka), data lake platforms (e.g. Delta Lake, Apache Iceberg), and relational databases Have a Bachelors or advanced degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or equivalent work experience For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at . More ❯

search platforms like Apache Solr or Elasticsearch is a plus. Significant industry experience or a relevant academic background (such as an MSc or PhD in Computer Science, Machine Learning, Mathematics, Statistics, or Engineering). We value practical ability and a demonstrated track record of delivering impactful results over formal academic qualifications. Proficiency in enterprise-grade software engineering practices and principles More ❯

other highly valued skills may include: Experience at a large Consulting firm (preferably Analytics consulting) Experience in the financial services industry Degree in a quantitative field (Statistics, Computer Science, Mathematics, etc.) Knowledge of machine learning and AI applications Familiarity with data governance frameworks Understanding of agile methodologies Experience mentoring junior team members Knowledge of programming languages commonly used in analytics More ❯

entire duration of the program Ability to travel to clients and FTI Consulting office(s) Preferred Qualifications Preferred major(s): Business Administration, Management, Finance, Engineering, Computer Science, Data Analytics, Mathematics, Statistics, or a related field Excellent analytical and problem-solving skills A logical and lateral thinker, who is intellectually curious, highly organized, and structured Exceptional communication and interpersonal skills, with More ❯

to support business growth. Skills and Experience Education and Certifications A third-level degree, with a strong academic record in a quantitative field of study (e.g., Data Science, Statistics, Mathematics, Computer Science). Minimum of 2 5 years of relevant experience in data analysis, business analysis, or technology consulting within financial services, ideally funds or asset management. Working knowledge of More ❯

observability, and maintainability in ML model development. Turn complex technical challenges into clear business outcomes for colleagues and customers. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. 3+ years of experience in a Data Science, Data Analysis, or related role Strong hands-on experience with Python and SQL Excellent communication skills and stakeholder More ❯

observability, and maintainability in ML model development. Turn complex technical challenges into clear business outcomes for colleagues and customers. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. 3+ years of experience in a Data Science, Data Analysis, or related role Strong hands-on experience with Python and SQL Excellent communication skills and stakeholder More ❯

verification, and validation. Excellent communication skills with the ability to lead, mentor, and inspire a team. UK Nationality with eligibility for DV or SC Security Clearance. Degree in Engineering, Mathematics, Computer Science, or related field (or equivalent experience). The position can be a Senior Software Engineer or Software Team Lead to play a pivotal role in architectural design and More ❯

observability, and maintainability in ML model development. Turn complex technical challenges into clear business outcomes for colleagues and customers. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. 3+ years of experience in a Data Science, Data Analysis, or related role Strong hands-on experience with Python and SQL Excellent communication skills and stakeholder More ❯

observability, and maintainability in ML model development. Turn complex technical challenges into clear business outcomes for colleagues and customers. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. 3+ years of experience in a Data Science, Data Analysis, or related role Strong hands-on experience with Python and SQL Excellent communication skills and stakeholder More ❯

observability, and maintainability in ML model development. Turn complex technical challenges into clear business outcomes for colleagues and customers. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. 3+ years of experience in a Data Science, Data Analysis, or related role Strong hands-on experience with Python and SQL Excellent communication skills and stakeholder More ❯

clearly to non-technical stakeholders. Help develop tools using SQL, Python, and BI platforms (e.g. Quicksight, Power BI, Tableau). What we’re looking for Essential: A degree in (Maths, Statistics, Economics, Computer Science, Data Science). Strong analytical and problem-solving skills. Proficiency in SQL and Excel . Excellent communication and presentation skills. Attention to detail with a proactive More ❯

Ability to interpret complex datasets, drawing meaningful insights to drive business decisions. Strong communication skills, with experience in managing client relationships. A degree in a relevant field such as Mathematics, Statistics, Economics, Psychology, Sociology, Physics, Engineering, or Computer Science (Master’s or PhD is a plus). Interest or experience in TV viewing data, media, or marketing analytics is beneficial More ❯

ability to liaise between IT and trading desks Production stability mindset and ability to work with infrastructure and support teams Qualifications Bachelor's degree (or equivalent) in Computer Science, Mathematics, Physics, or Engineering Postgraduate qualifications in advanced computing or statistical disciplines are desirable Competencies & Values Ability to quickly learn and apply new technologies Proactive in contributing ideas and innovations to More ❯