19 of 19 Statistics Jobs in the City of London

storytelling skills, ideally using Power BI or similar tools. Experience working with large, complex, and imperfect datasets. Degree in Data Science, Computer Science, Mathematics, Statistics, or a related discipline, or equivalent commercial experience. What's on Offer Opportunity to work on a modern enterprise data platform with significant datasets ...

engage effectively with both technical and non-technical stakeholders. Strong documentation skills and attention to detail. Degree in Computer Science, Data Science, Mathematics, Statistics, or a related discipline, or equivalent commercial experience. What's on Offer Opportunity to work on a modern cloud-based data platform. Exposure to analytics ...

emerging developments within autonomous AI and intelligent agent technologies. About You Essential Requirements Bachelor's degree or higher in Computer Science, Artificial Intelligence, Mathematics, Statistics or a related technical discipline. Strong engineering implementation skills and/or deep theoretical foundations in machine learning and AI. Demonstrated expertise in at least ...

production execution Review research reports and articles that examine recent developments in the energy markets Qualifications: Pursuing Bachelors or Masters in Mathematics, Engineering, Finance, Statistics, Business, Economics, Energy, Computer Science, Physics or a related field of study Expected graduation date in 2028 Prior internship/exposure to the commodities markets ...

Communicate findings clearly, turning complex analysis into actionable insights for technical and non-technical audiences Qualifications Skills we're looking for: Strong grounding in statistics and quantitative methods, supported by relevant academic or professional experience Hands-on experience applying experimental design and causal inference techniques to real-world data Understanding ...

marketing, ecommerce, loyalty, or subscription environments Advanced Python and SQL skills Experience building predictive models and deploying data-driven solutions Strong understanding of experimentation, statistics, and machine learning Excellent stakeholder management and communication skills Experience with Databricks and ML lifecycle tools is beneficial ...

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 ...

gathering skills. Excellent communication and documentation abilities. Experience supporting solutions through testing, deployment and production support lifecycles. Degree in Computer Science, Data Science, Mathematics, Statistics or a related discipline, or equivalent commercial experience. This is an excellent opportunity to join a growing Data & AI function and play a key role ...

/CD pipelines Familiarity with Microsoft Purview, Entra ID, DLP, or Insider Risk tools Understanding of ISO 27001, Agile ways of working Knowledge of statistics, data science, or AI/ML applied to cybersecurity Relevant certifications (MS-500, AZ-500, SC-series, Security+, GSOC, CCSK) Perks & Benefits Hybrid/remote ...

efficiency of data science solutions, ensuring continuous value demonstration. Person Specification 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 … Large Language Models (LLMs) and related areas such as Natural Language Processing (NLP) or Computer Vision, relevant to business solutions. Solid understanding of foundational statistics and experimental design. Familiarity with or experience on cloud platforms. Impact and Achievements Pioneer the development and robust deployment of highly impactful machine learning ...

NeurIPS, ICML and ICLR. Contribute to publication efforts where appropriate and consistent with intellectual property considerations. Skills & Experience PhD in Machine Learning, Computer Science, Statistics, Mathematics, Physics or a related quantitative discipline. Outstanding academic credentials and a strong publication record in leading research venues. Current or recent experience ...

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 ...

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 ...

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 ...

Drive the development of scalable research tools, datasets, and modelling frameworks that increase team productivity. Skills & Experience Master’s or PhD in Machine Learning, Statistics, Mathematics, Computer Science, Engineering, Physics, or another quantitative discipline. 5+ years of experience developing systematic, intraday horizon trading strategies, predictive models, and alpha signals. Demonstrated … Strong practical experience applying machine learning techniques to prediction problems, with a clear understanding of overfitting risks and robust model validation. Deep understanding of statistics, experimental design, hypothesis testing, and research methodology. Strong programming skills in Python. Excellent communication and collaboration skills, with the ability to work effectively across research ...