426 to 450 of 475 Statistics Jobs in the UK

years of experience in quantitative trading, portfolio management, or a closely related field. An advanced degree in a quantitative discipline such as Mathematics, Statistics, Physics, Engineering, Computer Science, or Data Science. Strong foundation in statistics, quantitative modelling, and data analysis, with hands-on experience using Python and SQL. Proven experience ...

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. ...

site position at our Edwards Life sciences corporate headquarters in Irvine, California. What you’ll need (Required): Bachelor's Degree in Statistics, Mathematics, Computer Science or related field. 4 years experience previous statistical programming experience (e.g. SAS). Master's Degree or equivalent in Statistics, Mathematics, Computer Science or related ...

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 ...

methods for future applications. ABOUT YOU: Required: Master’s degree or equivalent/higher qualification in one of the following disciplines: Data Science, Statistics, Mathematics, Software Engineering or a closely related field. Experienced in predictive modelling, with a deep understanding of data analysis and modelling techniques such as GLMs, Time … Series Analysis, Bayesian Statistics, MCMC, neural networks, etc. Very strong skills in R or python. Advanced coding and analytical skills. Strong communication skills, fluency in English. Creative thinking, keen to further refine systems and processes. Highly self-motivated, leading by example and enthusiasm. Being a team player, with the ability ...

depth: current enough in modern ML, experimentation, and MLOps to set direction, review architecture, and hold the scientific bar. Strong grounding in experimentation and statistics — A/B testing, causal inference, and rigorous measurement of impact. An MS or PhD in a quantitative field (Computer Science, Statistics, Mathematics, or related ...

acceleration, advanced calculus, C++ including STL, C#, .NET, Java, object oriented software design, Python, kdb, Structured Query Language (SQL), mathematical finance/programming and statistics and probability Develop pricing models using numerical techniques for valuation including Monte Carlo Methods and partial differential equation solvers Collaborate closely with Traders, Structurers … modeling or analytics role, ideally in the financial sector Must have technical/programming skills; C# .Net, SQL and C++ Exposure to Market Data; Statistics and Probability based calculations; Using probability theory to evaluate the risks of complex financial instruments, solve analytical equations and design numerical schemes to analyze complex ...

mathematical and computer science methods and tools including hardware acceleration, advanced calculus, Java, Python, kdb, Structured Query Language (SQL), mathematical finance/programming and statistics and probability Collaborate closely with Traders and technology professionals. Work in close partnership with control functions such as Legal, Compliance, Market and Credit Risk, Audit … financial sector Must have technical/programming skills. Preferably use of Python, Java, SQL and/or q. Exposure to Market Data; Statistics and Probability based calculations; Using probability theory to evaluate the market behaviour, solve analytical equations and design numerical schemes to create pricing and risk models. Must also ...

Collaborate with product, engineering and commercial teams to define solutions and improve the key metrics. Who you are You hold a degree in mathematics, statistics, machine learning, or computer science. Rigorous with probability and statistics. Experimental design, causal inference. You reach for the right tool, and you know when … model from idea to production and monitor it. We use Python for ML/AI services and TypeScript around it, on AWS and PostgreSQL. Statistics you can defend. Experimental design, causal inference, measuring the real effect of an action — not just correlations. You know when a result is real, when ...

Quantitative Analyst London | £70,000 - £140,000 + Bonus & Benefits | 5 days a week onsite Love sport, statistics, and solving difficult problems? This is an opportunity to join a specialist sports trading firm where your models and research will directly influence trading decisions across global sports markets. Whether … coming from academia, research, data science, or another quantitative background, they're looking for people who are genuinely passionate about maths, statistics, and sport. The Company They are a growing quantitative sports trading and investment firm based in Central London. With a collaborative team of researchers, analysts, and engineers, they ...

will help define the right problems to solve, not just execute against a fixed brief. The Applied Scientist role combines data science, ML and statistics to build practical systems that drive real business outcomes. It is not a pure research role, although you may explore papers and new ideas. … assigned. You will be comfortable – and ideally enjoy – collaborating with others. What We Are Looking For Deep expertise in one applied ML, statistics or data science speciality. Examples could be risk modelling, LLM detection, or reinforcement learning – any area of genuine depth counts. Judgement about when to reach for simple ...

solutions. Set standards for modelling, validation, reproducibility, coding, documentation and responsible AI practices. Identify opportunities to apply machine learning, predictive analytics, optimisation or advanced statistics to business challenges. Guide data scientists, analysts and engineers in selecting appropriate methods, architectures and tools. Influence stakeholders by communicating technical options, risks, benefits … data science practice. Essential skills and experience Extensive experience designing and delivering advanced data science solutions at scale. Deep understanding of applied statistics, machine learning, model validation and data science product delivery. Strong programming capability and ability to set coding, testing and reproducibility standards. Experience working with data engineering, cloud ...

mindset in a fast‐paced, high‐impact environment. Required Qualifications, Capabilities, and Skills: Hold a PhD or possess equivalent experience in Computer Science, Mathematics, Statistics, or a related quantitative discipline. Demonstrate extensive hands‐on experience in ML engineering, with a proven track record of shipping production AI systems. Bring deep … expertise in NLP, Computer Vision, and/or Multimodal LLM algorithms, with a strong foundation in statistics, optimization, and ML theory. Apply practical experience implementing distributed, multi‐threaded, and scalable applications using frameworks such as Ray, Horovod, or DeepSpeed. Communicate complex technical concepts effectively and build trust with stakeholders ...

qualifications, capabilities, and skills Hands on experience in an ML engineering role Masters degree or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Statistics Track record of developing, deploying business critical machine learning models Broad knowledge of MLOps tooling – for versioning, reproducibility, observability etc Experience monitoring, maintaining, enhancing existing … models over an extended time period Specialism in NLP or Computer Vision Solid understanding of fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures (transformers, CNN, autoencoders etc.) Extensive experience with pytorch, numpy, pandas Hands‐on experience in implementing distributed/multi-threaded/scalable applications ...

business Assist in the deployment and monitoring effort to ensure efficient implementation of the solutions created Key Skills and Experience: PhD. or masters in statistics, data science or equivalent field or Degree with number of years of relevant experience Previous experience within data science Experience in insurance pricing and modelling … Experience and detailed technical knowledge of GLMs/Elastic Nets, GBMs, GAMs, Random Forests, Neural Networks and clustering techniques Knowledge of statistics and distributions commonly used in insurance Experience in programming languages (e.g. Python, PySpark, R, SAS, SQL) Proficient at communicating results in a concise manner both verbally and written ...

Senior Software Engineer (Machine Learning) Exeter, Bristol digiLab is a formative AI company with world-leading specialists in uncertainty quantification, applied where the stakes are highest and the margin for error is smallest. Our customers ...

hackajob is partnering directly with JPMorganChase to hire for this role. JOB DESCRIPTION JPMorganChase is seeking an experienced Quantitative Researcher to join the Strategic Indices Quantitative Trading & Research (QTR SI) team in London. QTR SI ...

Senior Software Engineer (Machine Learning) Exeter, Bristol digiLab is a formative AI company with world-leading specialists in uncertainty quantification, applied where the stakes are highest and the margin for error is smallest. Our customers ...

digiLab is a formative AI company with world-leading specialists in uncertainty quantification, applied where the stakes are highest and the margin for error is smallest. Our customers are among the largest and most advanced ...

hackajob is partnering directly with JPMorganChase to hire for this role. JOB DESCRIPTION JPMorganChase is seeking an experienced Quantitative Researcher to join the Strategic Indices Quantitative Trading & Research (QTR SI) team in London. QTR SI ...

Managers and the wider investment team What we're looking for Strong Python development skills Experience with quantitative research and backtesting Strong understanding of statistics and working with large datasets Strong software engineering fundamentals Experience building reusable research/data pipelines Strong academic background in Computer Science, Mathematics, Statistics, Physics ...

Bachelor's Degree in Computer Science, Maths, Statistics, or Operation Research £120k - £160k+ base (£250,000 - £600,000 overall) London (office based) Senior Quantitative Developer - LONDON UK Remote Status - No Remote Client Willing to Sponsor - Yes MUST HAVE - Bachelor's Degree in Computer Science, Mathematics, Statistics, or Operation Research … used as one tool among many - this is a systematic shop, not an AI-first fund. Qualifications Bachelor's Degree in Computer Science, Mathematics, Statistics, or Operation Research only AND from a top 20 internationally ranked university You have real buy-side experience - or experience in an environment with similar ...

quantitative research and monetization process. We believe that successful research efforts require a fluid mix of skills including ML expertise, engineering pragmatism, statistics and market intuition. Other duties as assigned or needed. Skills You’ll Need 5+ years of experience in developing DL systems with measurable impact in industry … thinkers who are driven, self-motivated, and eager to solve challenging problems Proficiency in Python and/or C++ Strong foundation in mathematics and statistics Ability to thrive in a collaborative, team-oriented environment PhD, or Master's degree in Computer Science, Mathematics, (or related subject) Strong publications record ...

summaries for internal governance, regulatory agencies, and scientific communications Partner across the organisation Collaborate closely with colleagues in Clinical Research, Regulatory Affairs, Safety, Statistics & Statistical Programming, Outcomes Research, Health Economics, Discovery Medicine, and Commercial Contribute epidemiologic input to product safety and risk management, post-marketing safety studies, clinical development plans … world data and epidemiologic methods to improve patient outcomes, we would like to hear from you. Required Skills: Academic Research, Epidemiology, Health Economics, Medical Statistics, Methods and Tools, Observational Studies, Outcomes Research, Pharmacoepidemiology, Real World Data, Researching, Research Reporting, Scientific Presentations, Scientific Research, Scientific Writing, Technical Advice Employee Status: Regular ...

model, a heuristic or a better sampling design before you reach for more auditors Statistically literate in a practical way: sampling design, agreement statistics, and the judgement to spot a metric being optimised against rather than met You can hold a calibrated standard across a distributed team … quality or evaluation problem — LLM-as-judge, model-assisted QA, automated evaluation, anomaly detection or classifier-based screening Sampling methodology and agreement statistics (Cohen's and Fleiss' kappa, F1 against ground truth) applied to real production data Experience hiring, training and managing a team, ideally an audit, review ...