401 to 425 of 464 Statistics Jobs in London

teams Undertake utilisation activities to confirm skill set gaps, additional staffing requirements based on the strategical direction from the leadership team Provide board report statistics to the Managed Services Director relating to your team and function on a monthly basis Assist in CSAT and NPS where required Aid Service Management ...

strong commitment to customer service, taking full ownership of all responsibilities and delivering consistently high standards of service. Produce comprehensive post-event reports, capturing statistics, performance metrics, and client feedback on a weekly and monthly basis in alignment with defined KPIs. Report key post-event data and insights to client ...

What we’re looking for Experience working on challenging biomedical data science problems, including the statistical analyses and visualisation of experimental data. Advanced applied statistics e.g. Bayesian statistics, hierarchical/mixed-effects models, etc. Experience with putting data analysis pipelines and code into production, including proficiency with python, cloud computing ...

Provide models to optimise outcomes in collections, churn management and user retention We would love to hear from you if... You’re comfortable with Statistics and have a Degree or qualifications in a quantitative field (Statistics, Mathematics, Engineering or similar) You have +5 years of experience in data science, decision … expect in the hiring process A preliminary phone call with the recruiter A coding exercise on HackerRank - covering core data science theory (math, statistics, linear algebra) and Python fundamentals (data structures & algorithms). A take-home assignment A technical interview with a Lead in our Data Science Team to review ...

evaluation, and ensure that the resulting systems are performant, reliable, and maintainable. You will work at the intersection of Computer Science, Mathematics, and Statistics - building high-performance tools that enable world-class research while maintaining a high engineering standard. Responsibilities Partner with PhD researchers to design, implement, and productize machine … ownership, execution, and prioritization Foster engineering consistency, standards, and best practices within Research Requirements Bachelor's degree (or higher) in Computer Science, Applied Mathematics, Statistics, or a related quantitative field 5+ years of professional software engineering experience, with strong CS fundamentals (data structures, algorithms, systems design) Demonstrated mathematical maturity - comfort ...

related to credit risk, pricing and portfolio monitoring and analytics. The successful candidate will be a highly numerate graduate with strong foundations in mathematics, statistics, econometrics or related subjects, capable of translating complex, distributed data into clear, actionable business strategies. This role reports to a Credit Strategy Manager and will … deliver clear strategies and insights to both technical and non-technical stakeholders. Educational Background : Undergraduate degree and/or Masters in Mathematics, Computer Science, Statistics, Econometrics or a related analytical field. Builder Mindset : You are comfortable in dealing with complex problems and taking messy, distributed data and turning it into ...

customer experience. Deliver comprehensive reporting and trend analysis by providing regular feedback, performance analytics, and strategic insights on key metrics including ticket performance statistics, arrival patterns, staff productivity, attrition rates, and resource utilization trends to support data-driven decision making. Support strategic workforce management initiatives and operational excellence projects, contributing … data analysis Ability to work flexible shift schedules including evenings, weekends, and holidays Preferred Qualifications: Bachelor's degree in Business Intelligence, Finance, Engineering, Statistics, Mathematics, or quantitative field 3+ years of experience in WFM real-time service level management (workforce planning, capacity management, performance optimization) Outsourced service provider coordination experience ...

supportive and pragmatic working culture. Manage your own workload and wellbeing effectively, seeking support when needed. Essential Requirements An MSc in health economics, economics, statistics, data science, operational research or another relevant quantitative discipline, or equivalent relevant professional experience. Demonstrable experience of independently delivering quantitative analysis, health economic modelling … development, research and teaching. Fast-paced projects with real responsibility and ownership. A collaborative environment with opportunities to learn from specialists across health economics, statistics, data science, HEOR, HTA and market access. Direct client interaction and exposure to business development. Support for professional development and career progression. Opportunities to meet ...

direct coding agents, review their output, and take responsibility for the model logic and evaluation evidence. What you’d work on Choose methods across statistics, econometrics, mathematical optimization, scenario modeling, geospatial science, weather and climate models, machine learning (for example, boosting), deep learning, foundation model fine-tuning and training … minimum screening bar for the role. The Nice-to-have list is additive, not required. Must-have Bachelor's degree in mathematics, statistics, physics, engineering, computer science, economics, finance, operations research, or a related quantitative field. An associate degree is acceptable with at least 2 additional years of directly relevant ...

with fraud operations, engineers, product managers, and data analysts to translate model outputs into real-world mitigations . Experience & Background: A strong foundation in statistics with a degree in a quantitative field (Statistics, Mathematics, Engineering, Computer Science, or similar). 3+ years of experience in data science, decision science ...

outside experts scrutinize our approach and trust the results. What you should bring 6+ years in a commercial, high-performing product organization doing applied statistics and data science - not solely academic or research-lab experience. Strong statistical and probabilistic reasoning , with hands-on fluency in confidence intervals, hypothesis testing, power … modeling, behavioral analysis, etc) This role isn’t for you if... You've only worked in academic or research settings and haven't applied statistics to real commercial product decisions. You prefer narrow, well‐scoped analytical problems over work that spans statistics, regulation, product, and customer context. You need complete ...

expertise with LLMs, Generative AI, Prompt Engineering, RAG, and Agentic Systems. Strong Python programming skills and experience with modern AI frameworks. Excellent understanding of statistics, machine learning methodologies, and model evaluation. Experience delivering AI solutions from proof-of-concept through to production. Exposure to Databricks, MLflow, Spark, or similar cloud … systems and orchestration frameworks. Background within insurance, financial services, or other highly regulated environments. MSc, PhD, or equivalent qualification in Computer Science, Mathematics, Statistics, or a related discipline. Package & Benefits Salary of £95,000 - £120,000 Performance-related bonus Comprehensive benefits package Pension scheme Private medical cover Generous annual leave ...

teams to implement and deploy models into practical applications. Contribute to research, experimentation and the development of novel methodologies. Essential Experience Degree in Mathematics, Statistics, Physics, Engineering, Computer Science or another relevant quantitative discipline. Strong experience in machine learning, statistical modelling or applied mathematical research. Practical experience with causal inference … with the ability to translate theoretical concepts into practical solutions. Comfortable working across research, experimentation and applied engineering. Desirable Experience PhD or MSc in Statistics, Applied Mathematics, Machine Learning, Engineering, Physics or a related discipline. Causal discovery, causal modelling, Bayesian inference or probabilistic machine learning. Reinforcement learning, decision science ...

with other Ofcom teams and with external stakeholders to deliver Ofcom’s objectives.The team includes market researchers, industry analysts and data specialists. Within the Statistics and Analytics team in the Research and Intelligence team, we aim to make the most of the vast amount of data that we collect … role will involve working with colleagues across Ofcom to ingest, analyse and visualise data, producing reproducible and robust outputs. These will range from summary statistics and interactive visualisations, to exploring more innovative methods of analysis to provide insight to support Ofcom’s policy objectives, engaging with colleagues across the organisation ...

region you’re applying in isn’t listed, please contact your Recruiting Partner. Basic Qualifications Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent 5+ years in product management, with experience in enterprise environments Experience in building AI/ML products or working with agentic systems … criteria that align engineering execution with measurable results Experience engaging with Director-level or senior technical stakeholders Preferred Qualifications Master's degree in engineering, statistics, computer science, operations research, business analytics, information systems or equivalent Experience delivering production systems inside enterprise customer environments: regulated data, legacy infrastructure, organizational complexity Background ...

partners to ensure models are reliable, scalable and deliver measurable business value.You will need: We are looking for ambitious individuals with a mix of statistics, programming skills and familiarity with time series analysis or broader forecasting and probabilistic/statistical modelling. A proven track record of designing and modifying advanced … ensure models are reliable, scalable and deliver measurable business value. You will need We are looking for ambitious individuals with a mix of statistics, programming skills and familiarity with time series analysis or broader forecasting and probabilistic/statistical modelling. A proven track record of designing and modifying advanced algorithms ...

Job Title: Performance Analyst Rate: £650 - £710 per day inside ir35 Location: Remote Contract: 6 months+ We are seeking an experienced Performance Analyst to establish and embed a performance measurement capability for the Martyn's ...

Research Fellow in Machine Learning and Spatial Statistics Research Fellow, Dept. of Statistics and Dept. of Computer Science, University of Warwick An enthusiastic individual is sought as a postdoctoral research fellow to work in the area of machine learning and spatial statistics. The post is a joint appointment between … Departments of Computer Science and Statistics at the University of Warwick, and the successful applicant will be based at The Alan Turing Institute in London (a London allowance will be payable). You will join a team of researchers affiliated with the ATI and led by Dr. Theo Damoulas, including ...

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 ...

problems to solve, driving both strategy and implementation. The role The Applied Scientist role is new to Prolific. It combines data science, ML, and statistics to build practical systems that drive real business outcomes. This isn't a pure research role, although you may explore papers and explore new ideas. … bring Deep expertise in mathematical optimization and recommendation algorithms applied to large-scale matching or marketplace problems. Judgement about when to reach for simple statistics, classical ML, LLMs, or agentic approaches. 5+ years applying ML, AI research, optimization, or recommendation systems to complex production problems. Python skills sufficient to build ...

Test, monitor and document models and tools, and iterate quickly based on trader feedback Requirements: Bachelor’s degree or higher in CS, Engineering, Mathematics, Statistics, Physics or another quantitative discipline 2+ years professional experience building quantitative trading tools, models, or analytics in a financial or commodities setting Strong Python skills … scientific computing environment (numpy, pandas, scipy, statsmodels or similar) Solid grounding in statistics, time series analysis, and data modeling; machine learning experience is a plus Experience building data pipelines and working with large data sets • Experience with SQL, NoSQL or tick databases Experience with data visualization and dashboarding tools (e.g. ...

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 ...

with an entrepreneurial mindset in a fast‐paced, high‐impact environment. Required qualifications, capabilities, and skills PhD or equivalent experience in Computer Science, Mathematics, Statistics, or a related quantitative discipline. Extensive hands‐on experience as an individual contributor in ML engineering, with a proven track record of shipping production … systems. Deep expertise in NLP, Computer Vision, and/or Multimodal LLM algorithms, with a strong foundation in statistics, optimization, and ML theory. Practical experience implementing distributed, multi‐threaded, and scalable applications using frameworks such as Ray, Horovod, DeepSpeed, etc. Exceptional communication skills, able to convey complex technical concepts ...

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 ...

Test, monitor and document models and tools, and iterate quickly based on trader feedback Requirements: Bachelor’s degree or higher in CS, Engineering, Mathematics, Statistics, Physics or another quantitative discipline 2+ years professional experience building quantitative trading tools, models, or analytics in a financial or commodities setting Strong Python skills … scientific computing environment (numpy, pandas, scipy, statsmodels or similar) Solid grounding in statistics, time series analysis, and data modeling; machine learning experience is a plus Experience building data pipelines and working with large data sets Experience with SQL, NoSQL or tick databases Experience with data visualization and dashboarding tools (e.g. ...