strategy, insights and analytics experts WHAT WE'RE LOOKING FOR Bachelor's degree or higher in an applicable field such as Computer Science, Statistics, Maths or similar Science or Engineering discipline Experience designing, developing, evaluating and optimising data science models and NLP solutions 3+ years' experience with Python, with strong More ❯
Contribute to the growth of the Solutions Architecture organization by hiring, coaching and mentoring others. BASIC QUALIFICATIONS - Bachelor's degree in computer science, engineering, mathematics or equivalent, or experience in a professional field or military - Experience in IT development or implementation/consulting in the software or Internet industries - Experience More ❯
Experience with machine learning model development and deployment. Experience in Artificial Intelligence or Machine Learning. Preferred qualifications: Master's degree in Computer Science, Engineering, Mathematics, a technical field, or equivalent practical experience. Experience in building machine learning solutions and leveraging specific machine learning architectures (e.g., deep learning, load shedding and More ❯
speak to candidates who are based in London for our hybrid working model. An ideal candidate will have A BS degree in Computer Science, Mathematics, Engineering or equivalent professional experience A minimum of 5 years experience in the sale of Professional Services and/or technology solutions at an enterprise More ❯
collaboration with cross-functional teams or external partners. Highly numerate, with a degree or postgraduate qualification (e.g., MSc) in a relevant field such as Mathematics, Statistics, or Computer Science (preferred but not essential). What you'll get for this role: Our purpose - with you today, for a better tomorrow More ❯
stakeholders make better investment decisions. We are seeking a portfolio analytics developer with the right blend of financial markets knowledge, data exploration, stats/maths and data visualisation skills to help us expand our analytics services to our stakeholders. There will be significant focus on working directly with investment professionals More ❯
Caci House Kensington Village, Avonmore Road, London, England
CACI LIMITED
Willingness to learn Hard-working Proficient in Microsoft Office knowledge on social channels Qualifications English GCSE or equivalent, grade C/4 + (Essential) Maths GCSE or equivalent, grade C/4 + (Essential) About the Employer CACI LIMITED CACI was founded in 1975 in the UK. Headquartered in London More ❯
other .NET languages Your technical experience may have been gained as a recent graduate or currently studying for a degree in Computer Science, Engineering, Mathematics, Physics or related discipline, through working on open-source projects or from 1-2 years of relevant industry experience Understanding of how source control and More ❯
every company become an AI company via our ML SaaS platform. Primary skills we consider: Python Secondary skills we consider: Kubernetes, Microservices, Docker, GCP, Maths, Machine Learning Employment type: Permanent Remote working: Flexible remote (up to 4 days p/w) We are looking for a brilliant senior developer who More ❯
with a focus on financial modelling for investments/transactions/Degree in areas such as Finance/Accounting/Economics/Engineering/Maths/Knowledge of infrastructure/real estate investment process preferred but not mandatory/Excellent quantitative and analytical skills, proficient with Microsoft excel/Experience More ❯
combination of education and experience. Excellent verbal and written communication skills. Bachelor's degree in a related discipline such as Computer Science, Information Technology, Mathematics, Statistics, Business, Data Science or Engineering preferred. Ability to work both independently and as part of a team. Experience supporting Azure applications. Strong understanding of More ❯
enhanced family leave A diverse work environment that brings together experts in many fields (including software and hardware development, quantum information theory, physics and maths) and over 20 different nationalities A learning environment that encourages individual, team and company growth and learning, including a regular programme of learning events and More ❯
with trade-offs across the business, helping to guide effective use of capital. What we're looking for. Degree in a Science, Technology, Engineering, Mathematics or Finance/Economics fields from an accredited institution or equivalent academic background. Advanced complex financial modelling and data querying skills (experience with SQL and More ❯
campaign outputs are compliant with all appropriate policies. About You Requirements Experience & Skills Minimum Bachelor's degree preferably qualified in a Science, Technology, Engineering & Mathematics based degree. Extensive marketing data industry experience gained within B2B financial services, business information or events organisations. Proven experience of creating and developing B2B marketing More ❯
continuous improvement in research methodologies, tools, and processes to maintain a competitive edge. Qualifications Master's degree (PhD preferred) in Electrical Engineering, Computer Science, Mathematics or related technical fields. 10+ years of experience in engineering, with significant experience in large-scale, cross-functional research projects. Demonstrated leadership in industry forums More ❯
Degree required, Master's Degree preferred. Additional experience in lieu of required education will be considered. Education and/or experience in Economics, Statistics, Mathematics, Accounting, Marketing, Finance, or a technical business discipline considered a plus. You’re already a proven expert – Your sales expertise has been demonstrated by helping More ❯
Degree required, Master's Degree preferred. Additional experience in lieu of required education will be considered. Education and/or experience in Economics, Statistics, Mathematics, Accounting, Marketing, Finance, or a technical business discipline considered a plus. You’re already a proven expert – Your sales expertise has been demonstrated by helping More ❯
Degree required, Master's Degree preferred. Additional experience in lieu of required education will be considered. Education and/or experience in Economics, Statistics, Mathematics, Accounting, Marketing, Finance, or a technical business discipline considered a plus. You’re already a proven expert – Your sales expertise has been demonstrated by helping More ❯
acumen with the ability to present complex data insights to non-technical stakeholders clearly and persuasively. Bachelor's degree in a quantitative field (e.g., Mathematics, Statistics, Economics, Computer Science). Advanced degrees (e.g., MBA, Master's, PhD) are a plus. What We Offer Be part of a multicultural team that More ❯
accuracy and impact of deliverables. Skilled at documenting workflows and building sustainable, scalable reporting systems. Desirable; Bachelor's degree (or equivalent) in statistics, applied mathematics, or related discipline Experience working on data within Insurance, a B2B company and/or Commercial Team About Us; We've combined groundbreaking AI and More ❯
systems and change management. About You You will be educated to GCSE level or equivalent (Grade C/4), a minimum of 5, including Maths & English, demonstrable experience of performing successful business analysis across multiple major digital projects, and in setting up and improving reporting dashboards, experience of supporting business More ❯
have opportunity to work on a variety of projects spanning across Machine learning and Generative AI. About you Advanced degree in AI, Computer Science, Mathematics, or a related quantitative field. Proven knowledge of Generative AI and hands-on experience of building applications with large foundation models. Solid understanding of fundamentals More ❯
in the workplace and at home, there's nothing we can't achieve in the cloud. Minimum Requirements PhD degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field plus 5 years of relevant experience, OR Masters degree plus 10 years of relevant work experience. 5+ More ❯
london, south east england, united kingdom Hybrid / WFH Options
Nationwide Building Society
have opportunity to work on a variety of projects spanning across Machine learning and Generative AI. About you Advanced degree in AI, Computer Science, Mathematics, or a related quantitative field. Proven knowledge of Generative AI and hands-on experience of building applications with large foundation models. Solid understanding of fundamentals More ❯
that support their discussions and inform decision making. What We Are Seeking A strong academic background with a relevant degree in IT, Business, Economics, Mathematics, Science, or similar (or equivalent experience in a commercial environment). Strong analytical and problem-solving skills, with the ability to collect, organise, analyse, and More ❯