23 of 23 Statistics Jobs in the City of London

data science, machine learning, and AI development across structured and unstructured data. Advanced degree (Master’s or PhD) in Computer Science, Engineering, Mathematics, Statistics, or a related field (preferred) Deep experience in personalization, search, or recommendation systems (3–4 years in a product-focused environment). Expertise in deep learning ...

intelligent conversational agents. Dive into the world of traditional NLP techniques and stay ahead of the curve. Apply a strong understanding of fundamental concepts-statistics, linear algebra, calculus, regression, classification, and time series analysis – to extract valuable insights from data. Be the driving force behind our data visualisation efforts – whether ...

tools, techniques, and industry trends Proactively raising risks, issues, or concerns with appropriate stakeholders Personal Profile Qualifications & Experience Essential Degree in Computer Science, Mathematics, Statistics, or a related discipline Strong proficiency in Python or R for data analysis Experience working with SQL and relational databases Proven experience building and deploying ...

love to hear from you. Strong technical foundation: Degree in a STEM field (or equivalent experience) with hands-on expertise in applied statistics, machine learning, forecasting, NLP, computer vision, or optimization. Python expertise: Skilled in writing production-grade code in Python (e.g., using type hints and understanding the limitations ...

research into real-world applications. Skilled in explaining technical findings to business audiences in clear, concise English. Degree in a quantitative field (Data Science, Statistics, Mathematics, Computer Science, or similar); Master’s preferred. Please note, this role cannot offer sponsorship. ...

DevOps Engineer or AWS Solutions Architect certification. Experience working in Agile and consulting environments. Educational Criteria : Bachelor’s degree in computer science, Maths, IT, statistics or physics related field. You should be entitled to work in the UK with legal work authorization status. Must be willing to travel within ...

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 ...

such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring ...

such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring ...

such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring ...

such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring ...

such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring ...

such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring ...

such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring ...

such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring ...

such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring ...

algorithms & data structures Proficiency in Java, C++, Go, or similar (Go experience not required) Experience with distributed systems Interest in data analysis/statistics (regressions, data validation, basic ML) Relational database experience a plus Finance knowledge helpful but not required Why this role Work directly alongside the investment process High ...

Regulator Engagement Act as the primary contact for external audits, enforcement authorities (e.g., HSE), and occupational health partners. Prepare and present detailed safety reports, statistics, and KPIs to senior leadership and relevant committees. Support environmental initiatives, especially where H&S overlaps with ISO 14001 or ISO 50001 requirements. 8. Continuous ...

Cleared. Key Responsibilities Acquire, clean, and manage geospatial datasets from diverse sources (remote sensing, open data, internal systems, APIs). Perform spatial analysis, spatial statistics, and geoprocessing to support strategic and operational projects. Develop predictive models and machine-learning workflows using spatial and non-spatial data. Build and maintain spatial … libraries (e.g., GeoPandas, GDAL/OGR, Shapely, Rasterio). Proficiency in Python and/or R for data science and automation. Solid grounding in statistics, spatial analysis, and machine-learning methodologies. Experience with spatial databases (PostGIS, BigQuery GIS, SQL Server Spatial). Ability to communicate complex spatial insights clearly ...

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 betting/trading would be beneficial. This is an office-based role and as well … 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 - Ideally football or cricket If you feel ...

data, this role has your name all over it. Key Responsibilities Acquire, clean, and manage geospatial datasets from diverse sources Perform spatial analysis, spatial statistics, and geoprocessing to support strategic and operational projects. Develop predictive models and machine-learning workflows using spatial and non-spatial data. Build and maintain spatial … libraries (e.g., GeoPandas, GDAL/OGR, Shapely, Rasterio). Proficiency in Python and/or R for data science and automation. Solid grounding in statistics, spatial analysis, and machine-learning methodologies. Experience with spatial databases (PostGIS, BigQuery GIS, SQL Server Spatial). Ability to communicate complex spatial insights clearly ...

Job Title: AI Researcher Location: Cambridge or London, UK This is a permanent position with candidates required to do hybrid working in either Cambridge or London. Our client are looking for AI Researchers specialising in ...

Graduate Quantitative Researcher £120,000 GBP + discretionary bonus Onsite WORKING Location: City of London, Central London, Greater London - United Kingdom Type: Permanent The client is a successful and well established Systematic Hedge Fund with ...