26 to 35 of 35 Statistics Jobs in Central London

ability — and confidence — to interrogate data, draw insights, and share outcomes with clarity. Whether your background is Computer Science, Software Engineering, Data Science, Applied Statistics (or a closely related field), what matters most is your depth of understanding and passion for building great software . Most importantly, you’re excited ...

guide junior team members, fostering professional development and collaboration across regional finance teams. What we are looking for Bachelors degree in Economics, Finance, Statistics, Marketing, or a related field (Masters degree preferred) Multiple years of experience in corporate, advisory, or structured debt financing roles, ideally within data centers, digital infrastructure ...

Developed high availability distributed systems with tight latency constraints An understanding of computer networking, the related technologies, and their tradeoffs Practical knowledge of fundamental statistics and numerical recipes Experience writing software for the trading domain Strong verbal and written communication skills Strong internal motivation and a continual desire to learn ...

Employee financial wellbeing support: early access to your earned pay, savings, budgeting, financial coaching & rewards. What we're looking for; Large dataset analysis and statistics to identify cost control and cost reduction. Support development and maintenance of databases that can be used for invoice validation, cost reconciliation and supplier portfolio ...

Senior Product Solutions Engineer, GenAI corporate_fare Google place London, UK Qualifications Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience. 6 years of experience in computer engineering, software development ...

customer teams to seek, understand, validate, interpret, and correctly use new data elements. Qualifications: MS or PhD in Computer Science, Electrical Engineering, Statistics,Operations Research, or a related field. Applied AI experience (generative AI, agentic solutions, regression and classification, supervised, and unsupervised learning). Strong mathematical background (linear algebra, calculus … probability and statistics). Experience with scalable ML (MapReduce, streaming). Ability to drive a projectand workbothindependently and in a team. Smart, motivated, can do attitude, and seeks to make a difference. Excellent verbal and written communication. Preferred Qualifications: A portfolio of projects (GitHub, papers, etc.) is a plus. ...

contracting authority and typically requires a minimum of five years' continuous UK residence. Qualifications MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields. Applied AI experience (generative AI, agentic solutions, regression and classification, supervised, and unsupervised learning). Strong mathematical background (linear algebra, calculus, probability and statistics ...

from signal generation to implementation Your present skillset Min 4 years of relevant experience Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus Capacity to multi-task in a fast paced ...

both their own initiative and as a team. You will ideally be educated to at least MSc in a quantitative subject such as Mathematics, Statistics, Computer Science or Physics and any knowledge with sports trading would be beneficial. This is an office-based role and as well as very competitive … environment. Skills required: Proficient in several of the following: Python, C#, C++, Java Mathematical Modelling Mathematical skills, particularly a keen understanding of probabilities and statistics Analytic mindset Strong communication skills Accuracy and attention to detail Experience in data science An interest in sports data/trading If you feel ...

evaluate new datasets for stock return predictions Maintain and improve the portfolio trading in the production environment Requirements: MS or PhD in physics, engineering, statistics, applied math, quantitative finance, or other quantitative fields with a strong foundation in statistics Demonstrated proficiency in Python Strong command of foundations of applied statistics ...