376 to 400 of 475 Statistics Jobs in the UK

hire's base salary. Individual offers may vary based on experience and skill set. UK Pay Range £260,000 — £300,000 GBP Frequently cited statistics show that people who identify with historically marginalized groups are likely to apply to jobs only if they meet 100% of the qualifications. We encourage ...

existing models, processes and analytical techniques. Communicate complex analytical findings clearly to technical and non-technical stakeholders. Skills & Experience PhD or MSc in Mathematics, Statistics, Physics, Computer Science, Data Science, or another highly quantitative discipline. Strong understanding of probability, statistics and mathematical modelling . Experience working with large datasets ...

existing models, processes and analytical techniques. Communicate complex analytical findings clearly to technical and non-technical stakeholders. Skills & Experience PhD or MSc in Mathematics, Statistics, Physics, Computer Science, Data Science, or another highly quantitative discipline. Strong understanding of probability, statistics and mathematical modelling . Experience working with large datasets ...

improving models and supporting data-driven decision-making. This is an exciting opportunity for a quantitatively minded individual who is passionate about mathematics, statistics, data and sport and wants to develop their career within a fast-paced sports trading environment. Key Responsibilities Analyse and interpret large and complex sports datasets. … work independently while also contributing effectively within a team. Strong communication skills. Desirable Degree or postgraduate qualification in a quantitative subject such as Mathematics, Statistics, Computer Science, Physics, Engineering or a related discipline. Experience in data science or quantitative research. Experience working with sports data. Knowledge or experience of sports ...

improving models and supporting data-driven decision-making. This is an exciting opportunity for a quantitatively minded individual who is passionate about mathematics, statistics, data and sport and wants to develop their career within a fast-paced sports trading environment. Key Responsibilities Analyse and interpret large and complex sports datasets. … work independently while also contributing effectively within a team. Strong communication skills. Desirable Degree or postgraduate qualification in a quantitative subject such as Mathematics, Statistics, Computer Science, Physics, Engineering or a related discipline. Experience in data science or quantitative research. Experience working with sports data. Knowledge or experience of sports ...

NetworkAbingdon, LondonApply for this job* Permanent* Experienced Professionals* Products & Systems Engineering* ID 517610-en\_GB## **Your Role**This role focuses on applying data science, statistics, machine learning, graph analytics, and KPI engineering to enable autonomous network intelligence. The AI Data Scientist will work with network telemetry, alarms, performance counters, inventory … data science, machine learning, telecom analytics, network performance analytics, or AIOps analytics.* Strong Python skills for data analysis, modelling, and automation.* Strong knowledge of statistics, ML basics, feature engineering, and model evaluation.* Experience working with network KPIs, alarms, telemetry, inventory, topology, or service assurance data.* Understanding of telecom network domains ...

scientist in a technology development and delivery capacity. As part of our London or Wroclaw office, you will use your expertise in advanced mathematics, statistics, and/or machine learning, to help build and shape McKinsey’s scientific AI offering. You will bring distinctive statistical, machine learning, and AI competency … enable holistic well-being for you and your family. YOUR QUALIFICATIONS AND SKILLS Master’s or PhD degree 2+ years of relevant experience in statistics, mathematics, computer science, or equivalent experience with experience in research Proven experience applying machine learning techniques to solve business problems Proven experience in translating technical ...

particularly interesting data and analytical dimension. You'll be working alongside concepts including: Machine Learning Data Science Bayesian Methods Gaussian Processes Probability Statistics You don't need to be a Data Scientist, but experience in these areas would give you an excellent opportunity to apply your knowledge within a highly … Computer Science, Software Engineering, Mathematics, Engineering or a related discipline. The ability to work independently while collaborating with multidisciplinary teams. Ideally, exposure to ML, statistics, Bayesian modelling or probabilistic methods. This is a role for someone who wants technical depth, variety and ownership. You'll be solving genuinely complex problems ...

using Java, Rust, and advanced AI technologies to power the next generation of algorithmic trading systems. Conduct EMEA equity market microstructure research, applying advanced statistics, probability, and mathematical finance to extract actionable trading insights. Backtest and prototype quantitative research strategies, leveraging Python and kdb+ to validate and optimize algorithmic trading … algorithmic trading systems. Deep proficiency in Java and Python, with a strong foundation in software design and development principles. Proven experience applying probability theory, statistics, and mathematical finance to solve complex analytical equations and analyze market data. Demonstrated experience utilizing AI technologies to design and build high-performance trading applications. ...

business impact. Collaborate with product, IP experts, and engineers to align solutions with user needs. Requirements: Degree in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.). Strong experience in machine learning, NLP, and LLM-based modeling. Strong experience designing and running experiments, including model evaluation … experience applying agent frameworks (e.g., Google ADK, LangChain, LangGraph, AutoGen) in real-world use cases. Proficiency in data analysis tools. Strong foundation in statistics, modeling, and large-scale text processing. Why Join Us? Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready ...

business impact. Collaborate with product, IP experts, and engineers to align solutions with user needs. Requirements: Degree in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.). Strong experience in machine learning, NLP, and LLM-based modeling. Strong experience designing and running experiments, including model evaluation … experience applying agent frameworks (e.g., Google ADK, LangChain, LangGraph, AutoGen) in real-world use cases. Proficiency in data analysis tools. Strong foundation in statistics, modeling, and large-scale text processing. Why Join Us? Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready ...

long-term AI and discovery strategy across Elsevier platforms.**Requirements:*** Master’s or PhD in Computer Science, Data Science, Machine Learning, Information Retrieval, Statistics, NLP, or a related quantitative field.* 10+ years of experience in Data Science, Machine Learning, Information Retrieval, Search Relevance, Evaluation Systems, or Applied AI.* Significant experience … balance strategic leadership with pragmatic execution in rapidly evolving AI environments.**Preferred qualifications*** PhD preferred in Computer Science, Machine Learning, NLP, Information Retrieval, Statistics, or related field.* Experience leading search, ranking, recommendation, or AI evaluation organizations at scale.* Experience building evaluation systems for LLM-powered applications and AI assistants.* Familiarity ...

also write a plain .py script that runs on a schedule Familiar with scikit-learn or stats models for regression and forecasting Statistics and modelling Solid descriptive statistics, and the judgement to know when the mean is misleading Understands sampling, bias, correlation vs causation, and confidence intervals … projects to meet business goals and objectives. ● Other duties as directed. Position Requirements Qualifications ● Bachelors or Masters’ degree in Agronomy, Agricultural Science, Data Science, Statistics, and/or a related field is preferred. Experience/Knowledge ● Hands-on experience in commercial berry production ● Strong understanding of the key drivers influencing ...

moving from framing the problem to production rollout, mainly in Java on the JVM. You will operate low-latency JVM services, apply probability and statistics to test changes, and collaborate with senior engineers across codebases. #J-18808-Ljbffr ...

design, architecture, and manufacturing to drive memory test innovation. This role focuses on understanding DRAM behavior across logical, architectural, and physical domains, using simulation, statistics, and modeling to #J-18808-Ljbffr ...

will lead complex research tasks, code, and develop capabilities while mentoring junior statisticians and building client relationships. The role requires strong expertise in Bayesian statistics, population-adjustment methods (MAIC/ML-NMR), ITCs, and survival analyses, with extensive R and Stan/BUGS programming experience. #J-18808-Ljbffr ...

tools that communicate insight clearly. Work cross-functionally to embed data science into products, workflows and decision-making processes. Keep up with developments in statistics and data science and bring the useful ones into our analytics. Provide trusted expert guidance to internal and external stakeholders. Skills & Experience We're looking … deep statistical expertise, strong commercial awareness and a track record of helping others succeed. Essential: A minimum of 8 years of industry experience applying statistics, mathematics and machine learning to real-world problems. Advanced academic training in Statistics, Mathematics, Machine Learning, Data Science or a related discipline (PhD preferred). ...

tools that communicate insight clearly. Work cross-functionally to embed data science into products, workflows and decision-making processes. Keep up with developments in statistics and data science and bring the useful ones into our analytics. Provide trusted expert guidance to internal and external stakeholders. Skills & Experience We're looking … deep statistical expertise, strong commercial awareness and a track record of helping others succeed. Essential: A minimum of 8 years of industry experience applying statistics, mathematics and machine learning to real-world problems. Advanced academic training in Statistics, Mathematics, Machine Learning, Data Science or a related discipline (PhD preferred). ...

agreed IT Infrastructure changes and following maintenance routines Network Support – Uses Network Management tools where applicable to investigate and diagnose network problems, collect performance statistics, and create reports Customer Service - Liaise with customers regarding fault correction progress and circuit installations Maintain customer equipment manuals, network drawings and circuit databases accurately ...

feedback to your line manager on the Quality process on site and issue improvement recommendations. Generate and close out punch lists and generate quality statistics for tracking and monitoring purposes. Use of the project Web based quality application to generate reports and close out actions. Co-ordinate with the client ...

Confident coding in R, SAS, or other non‐SAS languages (or a willingness to learn) Experience & Skills Essential: Senior to Principal level experience in statistics within a clinical research environment Experience working on clinical studies and regulatory submissions Comfortable working independently with clients, often without in‐house statistical support Strong ...

Confident coding in R, SAS, or other non‐SAS languages (or a willingness to learn) Experience & Skills Essential: Senior to Principal level experience in statistics within a clinical research environment Experience working on clinical studies and regulatory submissions Comfortable working independently with clients, often without in‐house statistical support Strong ...

Confident coding in R, SAS, or other non‐SAS languages (or a willingness to learn) Experience & Skills Essential: Senior to Principal level experience in statistics within a clinical research environment Experience working on clinical studies and regulatory submissions Comfortable working independently with clients, often without in‐house statistical support Strong ...

Confident coding in R, SAS, or other non‐SAS languages (or a willingness to learn) Experience & Skills Essential: Senior to Principal level experience in statistics within a clinical research environment Experience working on clinical studies and regulatory submissions Comfortable working independently with clients, often without in‐house statistical support Strong ...

Confident coding in R, SAS, or other non‐SAS languages (or a willingness to learn) Experience & Skills Essential: Senior to Principal level experience in statistics within a clinical research environment Experience working on clinical studies and regulatory submissions Comfortable working independently with clients, often without in‐house statistical support Strong ...