1 to 25 of 30 Statistics Jobs in the Thames Valley

meaningful insights to drive business decisions. Strong communication skills, with experience in managing client relationships. A degree in a relevant field such as Mathematics, Statistics, Economics, Psychology, Sociology, Physics, Engineering, or Computer Science (Master’s or PhD is a plus). Interest or experience in TV viewing data, media, or More ❯

projects. -Stay current with industry trends, tools, and best practices to continuously improve the team's capabilities. QUALIFICATIONS Education: -Bachelors degree in data science, Statistics, Mathematics, or a related field. Experience: -2 or more years of experience in a data science or analytics role. -Proven experience in building machine learning More ❯

non-technical audiences. Mentor junior team members and contribute to the growth of the data science team. Qualifications: Bachelor's degree in Data Science, Statistics, Mathematics, or a related field. 2+ years of experience in a data science or analytics role. Proficiency in Python or R, SQL, and data visualisation More ❯

marketing analytics. A STEM or financial background. A good fit may have a BSc, MSc, or PhD in one of the following areas: mathematics, statistics, chemistry, physics, economics, or finance. Analytical thinker with an ability for identifying patterns and drawing meaningful insights from data. Should have the ability to use More ❯

and solutions architects to develop technical architectures for F&N enterprise projects and initiatives. Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics. What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles. Join a More ❯

compelling data visualisations. Passion for customer and generally curious. Telecoms-industry experience desirable. Highly numerate with a Degree or equivalent experience in Mathematics/Statistics or similar degree with high numerate content. Experience in coding sophisticated SQL queries against a large relational customer database, identifying relevant data sources and summarising More ❯

Machine Learning/Data Science. Working away at partner locations as required. WHAT YOU'LL NEED A Masters degree in Computer Science, Applied Mathematics, Statistics, Physics or related field, or equivalent experience. A PhD/DPhil is highly valued but not essential. Experience with state-of-the-art ML libraries. More ❯

causal inference techniques to address business problems. Work with stakeholders to define requirements for a world-class experimentation platform. Key Requirements Postgraduate degree in statistics, machine learning, or equivalent experience across the data science lifecycle. Deep knowledge of statistical hypothesis testing and ML modeling techniques. Proficiency in Python (Numpy, Pandas More ❯

the quality produced by AI models for correctness and performance Qualifications: Fluency in English (native or bilingual level) Detail-oriented Proficient in data analysis, statistics, arithmetic, algebra, geometry, calculus, probability, and inductive/deductive reasoning A completed or in-progress Masters and/or PhD is preferred but not required More ❯

models for correctness and performance Qualifications: Fluency in English (native or bilingual level) Detail-oriented Proficient in data science, arithmetic, algebra, geometry, calculus, probability, statistics, and inductive/deductive reasoning A current, in progress, or completed Masters and/or PhD is preferred but not required Note: Payment is made More ❯

Required Qualifications In computer science, engineering, analytics, mathematics, statistics, IT, or equivalent. Familiarity and comfort with Python, SQL, Docker, and Shell scripting. Java preferred but not necessary. Preferred Qualifications Experience with AWS technologies like Redshift and extracting value from large datasets Experience in at least one modern scripting or programming More ❯

data analysis software packages such as excel & SPC Desirable Working knowledge of RiO and Power BI Skills Essential High level of literacy, numeracy and statistics with ability to analyse & interpret data Excellent presentation skills Able to identify "smarter" ways of working Other Requirements Essential Ability to challenge constructively & work collaboratively More ❯

Figures. Pinnacle 21 experience is strongly preferred. Expert knowledge of SAS. Professional leadership skills coupled with exceptional communication skills. Education: Bachelor's degree required (Statistics, Mathematics, Computer Science, or related scientific discipline); Master's degree or PhD preferred. Benefits of Working in ICON: Our success depends on the knowledge, capabilities More ❯

this role you will: • Compile and Generate HR Reports: Create and distribute comprehensive HR reports, including key metrics such as headcount, turnover and recruitment statistics, ensuring data accuracy and relevance for decision-making. • Enhance P&C Data Insights: Leverage advanced tools like Power BI and other data modelling techniques to More ❯

regulations. Do you: Have a knack for extracting requirements from big picture stakeholders? Know who Inmon and Kimball are? Have a background in economics, statistics or computing? Enjoy helping people get the most from data? Go on occasional nerdy tangents? If so, and if you've built a data stack More ❯

hours period; subsequently, populating outcomes from out of hours care onto the patients Docobo Digital Health record. Collating patient enrolment/discharge data and statistics for GP feedback. Assist in the continuous updating of SOPs, manuals and handbooks as necessary so that they remain consistent and up to date for More ❯

and maintenance of detailed plans for the management of operational spare parts based on service requirements, current state inventory, utilisation, asset lifecycle stage, failure statistics, lead times and incremental service demand. In conjunction with the MBNL Logistics Team, be responsible for the procurement of operational spare parts in accordance with More ❯

and maintenance of detailed plans for the management of operational spare parts based on service requirements, current state inventory, utilisation, asset lifecycle stage, failure statistics, lead times and incremental service demand. In conjunction with the MBNL Logistics Team, be responsible for the procurement of operational spare parts in accordance with More ❯

is a community of subject matter experts from several disciplines who align AI models by creating high-quality data in their field of expertise to build the future of Generative AI. Alignerr is operated by Labelbox. Labelbox is the leading More ❯

is a community of subject matter experts from several disciplines who align AI models by creating high-quality data in their field of expertise to build the future of Generative AI. Alignerr is operated by Labelbox. Labelbox is the leading More ❯

is a community of subject matter experts from several disciplines who align AI models by creating high-quality data in their field of expertise to build the future of Generative AI. Alignerr is operated by Labelbox. Labelbox is the leading More ❯

is a community of subject matter experts from several disciplines who align AI models by creating high-quality data in their field of expertise to build the future of Generative AI. Alignerr is operated by Labelbox. Labelbox is the leading More ❯

is a community of subject matter experts from several disciplines who align AI models by creating high-quality data in their field of expertise to build the future of Generative AI. Alignerr is operated by Labelbox. Labelbox is the leading More ❯

is a community of subject matter experts from several disciplines who align AI models by creating high-quality data in their field of expertise to build the future of Generative AI. Alignerr is operated by Labelbox. Labelbox is the leading More ❯

Judith Rousseau Laboratory: Department of Statistics, Oxford University, UK Phone: (0), Email: Webpage: rousseau/Funding Judith Rousseau's ERC Advanced Grant 2018, "General Theory for Big Bayes" and Grenoble IDEX. Application Instructions Interested applicants should write to us with: a letter of interest, CV, and should require two recommendation … few. While very effective, these models are computationally costly and require large quantities of data for their many parameters to be accurately estimated. Bayesian statistics offers a theoretically well-grounded framework to reason about uncertainty, and it is one of the cornerstones of modern machine learning. At the same time More ❯