501 to 525 of 1,759 Mathematics Jobs in the UK

working in an unstructured, dynamic, and autonomous environment. Bonus: Mastery of SQL, Alchemy, scikit-learn, pandas, and PostgreSQL. Experience designing, building, and managing relational databases. Strong numerate background, i.e. maths, physics, comp-sci, engineering, etc. DevOps exposure: i.e. containerization, continuous integration/deployment (CI/CD). The salary We expect to pay from £50,000 - £80,000 for this More ❯

skills, with the ability to work effectively with clients and team members Preferred, but not essential: an undergraduate degree in a quantitative field such as Economics, Statistics or Applied Mathematics What Makes You Stand Out Proven success in managing and optimising Paid Search campaigns A test and learn mindset , always striving to challenge and improve current practices Experience working with More ❯

skills, with the ability to work effectively with clients and team members Preferred, but not essential: an undergraduate degree in a quantitative field such as Economics, Statistics or Applied Mathematics What Makes You Stand Out Proven success in managing and optimising Paid Search campaigns A test and learn mindset , always striving to challenge and improve current practices Experience working with More ❯

success metrics Working knowledge of statistics and ability to maintain in-depth technical discussion with customers who are quants A quantitative or technical background (e.g., in finance, economics, engineering, mathematics or physics) is strongly preferred We'd love to see: MS or PhD in a quantitative field Multi-asset experience Programming experience, preferably with Python Knowledge of Machine Learning Algorithms More ❯

various Risk and Tech/Data ad-hoc projects and providing both market and technology-related analysis. What you'll bring: University degree in a quantitative or technical field (Mathematics/Engineering/Computer Science/Economics/Finance). Experience in process automation/enhancement using at least one of the following coding languages: Python, Excel-VBA, SQL, and More ❯

to the broader organization as part of the SLT, representing the company at board level and fostering cross-department collaboration. Qualifications and Experience: Degree in computer science, engineering, physics, maths, or related field. 10+ years in technology leadership, preferably in a scale-up environment. Understanding of EV hardware, backend networks, cloud infrastructure, IoT protocols (OCPP, MQTT), and energy management systems More ❯

performing steady-state and/or transient power systems studies, e.g. load flow, short-circuit fault analysis and/or switching studies. Strong and proven numerical analysis skills, engineering mathematics and statistics. Proven ability to solve complex problems using creative solutions. Desired Criteria: Masters or PhD in Electrical Power Systems/Electrical/Electronic Engineering. At least 2 years' industry More ❯

ideas. What we're looking for in you: The successful candidate will be able to demonstrate the following: An accomplished Electronics Design Engineer with a strong background in physics, mathematics or similar, ideally with a solid understanding of RF circuit design. Understanding of mechanical design achieved through development work and transferring products to production stage. Experience of working on and More ❯

licence and your own vehicle ( essential due to the location of the office). Entry requirements: 3 GCSEs (or equivalent) at grades 4+ (A-C) in any subject. GCSE Maths and English (or equivalents) at grades 3+ (D or above). Prospective apprentices must not hold an existing qualification at the same or higher level as this apprenticeship in a More ❯

related issues, implementing preventive measures. Maintain documentation and knowledge repositories to support operational continuity and onboarding. Profile Master's or Bachelor's degree in Computer Science, Data Engineering, Applied Mathematics, or a related technical field. 8+ years of experience in data engineering, with at least 3 years in a senior or lead role. Proven experience in the energy trading sector More ❯

culture - coaching, motivating, and setting a pace that helps brilliant individuals thrive. What we're looking for Must Have Strong academic background in a quantitative discipline (e.g. computer science, mathematics, physics, statistics, or related fields). Proven experience managing data teams with mixed skill sets, including data scientists, machine learning engineers, and analytics professionals. Leadership track record in fast-paced More ❯

analytics, marketing science, measurement, or consulting, with direct client-facing leadership. Bachelor's or Master's in a quantitative or analytical field (e.g., Business, Statistics, Data Science, Economics, Engineering, Mathematics or related analytic field). 5+ years' experience in a consultative or advisory role Preferred Qualifications Deep expertise in advertising measurement methodologies, incl. attribution, MMM, incrementality, online/offline measurement More ❯

issues and provide solutions? This role may not be eligible for visa sponsorship Qualifications Qualified to a minimum level of A-Levels (or equivalent) in relevant disciplines - such as mathematics, computer science, data science? We rely on every employee to ensure our customers receive the best possible service, day in, day out. In return, we ensure that you will be More ❯

skills Attention to detail Organisation skills Customer care skills Problem solving skills Administrative skills Number skills Analytical skills Logical Team working Initiative Patience Qualifications English GCSE, grade 4 (Essential) Maths GCSE, grade 4 (Essential) About the Employer THE DEVELOPMENT MANAGER LTD The Development Manager are a Government funded training provider supporting employers across England through the delivery of tech and More ❯

the business case Representation of Fluence at industry conferences and other events Skill Requirements Master's degree in a relevant subject (environmental studies, business, economics, engineering, sciences, computer science, mathematics, statistics, etc.) or equivalent demonstration through additional work experience Minimum 5 years of sales, technical or commercial experience in the power generation or a related industry (directly in energy storage More ❯

Ops and Development to provide assistance and resolve product queries raised by our clients. Key Qualifications Educational Background: You have a Bachelor's degree in Real Estate, Finance or Mathematics (or related field). Technical Proficiency: You learn new technologies quickly and you're comfortable with software installation in environments such as Citrix and Windows. Numerical Skills: You possess strong More ❯

will have investment knowledge, strong technical, analytical, and communication skills, great attention to detail, and experience with data-related projects. Proficiency in Excel, data validation experience, and a solid mathematics background are required. Experience with hedge fund administration and SQL are a plus.Acadian supports a hybrid work environment; employees are onsite in the Boston office 3 days/week. What More ❯

open-source software projects and maintain publicly accessible codebases. Engage with industry partners to translate classical problems into quantum-ready applications. Experience - Essentials Advanced degree in Computer Science, Physics, Mathematics, Engineering, or equivalent experience. Proven ability to design, implement, and maintain production-quality software, with evidence of independent work. Significant programming experience in Python (or Julia) and at least one More ❯

sophisticated computing environments for research and development. Our researchers are at the forefront of innovation in the world of algorithmic trading. At HRT we welcome a variety of expertise: mathematics and computer science, physics and engineering, media and tech. We're a community of self-starters who are motivated by the excitement of being at the cutting edge of automation More ❯

commercial objectives with compliance requirements. Excellent communication and interpersonal skills, capable of articulating insights and recommendations to technical and non-technical audiences. A degree in a numerate discipline (e.g., Mathematics, Statistics, Economics, or STEM) or equivalent practical experience. Also Desirable: Experience with credit scoring models and decision systems. Modelling experience within financial services. Experience working in a scale-up or More ❯

address business problems with appropriate statistical and machine learning models 3+ years of experience as a data scientist, quantitative researcher, quantitative analyst or another relevant role Degree in Applied Mathematics, Computer Science, Financial Engineering, Technology or Engineering Knowledge of probability theory, inferential statistics, machine learning, Bayesian statistics, linear algebra, and numerical methods Experience with statistical and machine learning models, such More ❯

and non-technical audiences and work across the tech stack to deploy models. Experience and qualifications: You hold a Ph.D. (preferred) or Master's in Computer Science , Machine Learning, Mathematics/Statistics, or a related field. You have 2 years of industry experience applying ML to real-world problems (desirable but not required ). You possess a solid understanding of More ❯

applying them to current projects. Contribute to a culture of peer review, knowledge sharing, and continuous improvement. Experience and Qualifications: Education & Experience : Bachelor's or Master's degree in Mathematics, Statistics, Computer Science, or a related field. 1-2+ years of experience in data analytics or a comparable role. Proven track record of delivering data-driven insights that influenced More ❯

opportunities and expanding our product coverage Contribute to product sales and marketing activities, including through the development of webcasts and thought leadership content. Your background: Degree in Economics, Finance, Mathematics, Engineering, Operational Research, or a related quantitative subject. A prior experience within the energy sector that gave you knowledge of the energy industry, renewables, or market modelling. Strong problem-solving More ❯

Delivers to the highest standards, takes responsibility. Works well in a fast-paced football environment. Skills & Experience Education & Background: Master's or Ph.D. in a quantitative discipline such as Mathematics, Statistics, Computer Science, Data Science, or related fields. Experienced in data science, machine learning and football analytics. Technical Skills: Strong experience with tracking data model development. Proficiency in Python and More ❯