1 to 25 of 29 Mathematics Jobs in Slough

ML models into production environments via APIs or microservices. Excellent problem-solving, analytical, and communication skills. Preferred Qualifications Bachelor’s or Master’s degree in Computer Science , Data Science , Mathematics , or a related field. Familiarity with CI/CD pipelines for ML model deployment. Exposure to natural language processing (NLP) , computer vision , or reinforcement learning projects. Experience working in Agile More ❯

contributing new ideas to internal R&D discussions What We’re Looking For: A recently completed Master’s degree from a Russell Group university in Data Science, Computer Science, Mathematics, Physics, Engineering, or a related discipline Strong programming skills in Python (e.g. NumPy, pandas, scikit-learn, matplotlib); R is also welcome A solid understanding of core machine learning concepts, data More ❯

predictive analytics, and optimisation techniques Comfortable working with cross-functional teams, including engineers, product leads, and client stakeholders Bachelor’s or Master’s degree in a quantitative field (e.g., Mathematics, Physics, Engineering, Computer Science) from a strong university Excellent communication skills and a collaborative mindset Please note: This role cannot offer VISA sponsorship More ❯

technical reports Stay up to date with the latest advancements in AI and related fields Requirement Qualifications Required: Currently enrolled in a PhD program in Machine Learning, Artificial Intelligence, Mathematics, Computer Science, Physics, or a related field Strong interest in research and a background in machine learning or a related area Experience with programming languages such as Python, C++, or More ❯

engineering teams to turn data insights into product features. Deploy and monitor models in cloud environments. Candidate Profile Essential: Degree in a STEM subject (Computer Science, Data Science, Engineering, Maths, Physics, etc.) or strong analytical background. Programming experience with Python, SQL. Strong analytical and problem-solving skills. Interest in AI, natural language processing, or data visualisation. Adaptability and willingness to More ❯

tools in analytics engineering and contribute to the growth of Lenstra’s analytics capabilities. Skills needed for the role Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Statistics, or related field. 4+ years of experience in data engineering, analytics engineering, or a related field. Excellent analytical and problem-solving skills, with the ability to work on complex More ❯

to frame problems as solvable models. Contribute to the architecture of distributed, high-throughput systems. Conduct research to enhance optimisation frameworks and algorithm performance. Required Experience Strong foundation in mathematics, optimisation, or operations research. Demonstrated Python engineering skills (OOP, algorithms, data structures). Ability to transform theoretical models into practical solutions. Strong communication and teamwork skills. Preferred Experience MSc/ More ❯

predictive analytics, and optimisation techniques Comfortable working with cross-functional teams, including engineers, product leads, and client stakeholders Bachelor’s or Master’s degree in a quantitative field (e.g., Mathematics, Physics, Engineering, Computer Science) from a strong university Excellent communication skills and a collaborative mindset Please note: This role cannot offer VISA sponsorship More ❯

data warehousing, and data mesh architectures. Familiarity with AI/ML applications, metadata management, and data lineage tracking. Excellent communication and stakeholder management skills. Degree in Computer Science, Engineering, Mathematics, or a related STEM discipline. Experience in professional services or legal environments is advantageous but not essential. Why Join? The firm believes in maintaining a healthy work-life balance and More ❯

troubleshooting, and performance tuning Act as a trusted advisor to clients on Power ON strategies and future enhancements Qualifications Preferred Qualifications & Experience: Bachelor’s or Master’s degree in Mathematics, Computer Science, Data Analytics, Business Intelligence, or a related field Experience in Power BI development and business intelligence consulting Experience in the finance industry Microsoft Power BI certification (e.g., PL More ❯

SQL/SAS OR Python and be smartly turned out – this is a client facing role. You’ll be educated in a quantitative discipline such as Economics, Finance, Statistics, Mathematics, or Financial Engineering and have solid UK based experience in a Bank or FI. There will be a 2x stage interview process, initially Teams then face to face. We’re More ❯

acquisition of this new business. Support of sales and marketing activities of Services for strategic customers. Your background:- Educational background in Engineering/Industrial Engineering or Computer Science/Mathematics or Physics (Bachelor’s or master’s degree) 4+ years of experience in business process or IT consulting e.g., as Solution Architect, Business Analyst, Software Developer or in technical project More ❯

SaaS software sales experience. You're bright. Bachelor's Degree Required. Additional experience in lieu of required education will be considered. Education and/or experience in Economics, Statistics, Mathematics, Accounting, Marketing, Finance, or Operations Research considered a plus. You’ve already proven your sales expertise exceeding your quota for other SaaS-based technology solution providers. You’ve done this More ❯

compliance with industry standards and best practices Your Profile. Qualifications and Education: A degree in business or IT-related fields such as Business Administration, Business Informatics/Computer Science, Mathematics, Statistics, etc., or equivalent training with relevant experience or BA certification (e.g., IT Specialist in System Integration) At least 3 years of experience in ERP implementation and administration projects, ideally More ❯

Collaborate cross-functionally to embed analytics into product planning and execution. What We’re Looking For Experience Advanced degree in a quantitative field (Engineering, Computer Science, Economics, Data Science, Mathematics, or related). 8+ years of professional experience in analytics roles, preferably in technology. 3+ years of direct people management experience in building and scaling analytics teams. Proven track record More ❯

Standard entry: Level 3 qualification (apprenticeship/A-levels/BTEC, etc) OR equivalent work experience (typically two years in a relevant role) Plus: 5 GCSEs, including English and Maths at Grade 4 (C) or above Experience with using Excel and Microsoft products (or similar) You may also have a combination of qualifications and experience which demonstrate the minimum foundation More ❯

at events. About you The ideal candidate is an excellent team player with experience in developing numerical methods and physics solver (FEM, FDM, FVM...), Python and C++ skills, strong mathematics skills, knowledge of solid & fluid mechanics theory, and a background in Geosciences. In particular, we are looking for: · Self-reflection and emotional intelligence · Scientific rigour and attention to detail. · Awareness More ❯

a middle office, product control, or risk environment. Exposure to commodities, energy, or financial services. Strong Excel and SQL skills, and confidence handling and analysing data. A degree in Mathematics, Finance, Engineering, or a STEM subject. Why This Role is Exciting You’ll learn directly from senior Product Managers and quants while working on live client projects. Work with major More ❯

you'll be doing: The individual we are seeking will work on the identification, development and commercialisation of a portfolio of projects arising from across the Faculties of Engineering, Mathematics & Physical Science with a focus on AI, Robotics, Computer Science and related disciplines. This role within a leading university research commercialisation company provides a unique opportunity to work collaboratively with More ❯

effectively where possible Ability and desire to progress through competency framework Experience & Qualifications AAT Level 3 certification or currently pursuing AAT Level 3 studies (Essential) GCSE or equivalent in Maths and English at Grade C or above Proficiency in customer interaction Familiarity with Microsoft Office Suite. Prior experience in a 1st or 2nd Line IT/software support role (desirable More ❯

be a steady hand under your own direction while our product and engineering org pivots very rapidly and often. You are mathematically sophisticated. You may have studied engineering, economics, mathematics, or another STEM subject. It’s also useful but not necessary if you have experience programming. Building automations, scrapers, or scripts, or knowing how to query a database and wrangle More ❯

You have a high mathematical aptitude so that you can model the business in spreadsheets and in your head. It’s not necessary but you might have studied economics, mathematics, or similar. You may also have some experience in investment banking or a similarly mathematical career track before pivoting to startups It’s also useful but not necessary if you More ❯

Maintain accurate records of campaign activity and asset versions Contribute to improving team processes and sharing campaign learnings You A degree in the following areas: Marketing, Advertising, Business, Economics, Maths, Technology (or similar) Any internships or experience within paid social or ad operations (is a bonus) Strong attention to detail and ability to spot inconsistencies or errors Good communicator, comfortable More ❯

As people increasingly move across channels and platforms, Kantar Media’s data and audience measurement, targeting, analytics and advertising intelligence services unlock insights to inform powerful decision-making. Working with panel and first-party data in over 80 countries, we More ❯

Who we are... Verdantix’s mission is to deliver independent, accurate, and actionable research and advisory services. We empower the world’s most innovative corporations, technology and services vendors, and investors with granular insights and data-driven analysis. Our team More ❯