151 to 175 of 723 Statistics Jobs in the UK

Python and SQL, with solid experience using libraries like Pandas, Scikit-Learn, TensorFlow, etc. Proven experience working with BigQuery and big data pipelines on GCP . Deep understanding of statistics, machine learning algorithms, and data modelling. Strong analytical mindset with a knack for turning data into actionable business insight. Excellent communication skills and a strong sense of ethics around data More ❯

Python and SQL, with solid experience using libraries like Pandas, Scikit-Learn, TensorFlow, etc. Proven experience working with BigQuery and big data pipelines on GCP . Deep understanding of statistics, machine learning algorithms, and data modelling. Strong analytical mindset with a knack for turning data into actionable business insight. Excellent communication skills and a strong sense of ethics around data More ❯

Key skills and competencies: 1.5-4 years of experience in analytics relevant to OC&C's industries, with an undergraduate or postgraduate degree in Economics, Analytics, Computer Science, Mathematics, Statistics, or a related quantitative field Experience in data collection, cleaning, merging, and profiling for modeling Knowledge of statistical analyses, modeling, and ability to explain analytic processes and rationale for chosen More ❯

algorithms and techniques. Extensive experience in building AI based applications Strong understanding of Software Development best practices and in OO Design principles and patterns. Very strong competency in mathematics, statistics, data structures and algorithms. A penchant for finding outstanding solutions to very difficult problems. Excellent communication skills and collaboration capabilities. Ability to work in a diverse/multi-cultural environment. More ❯

GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A good quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science) Experience of WTW's Radar and Emblem software is preferred Proficient at communicating results in a concise manner both verbally and written Behaviours: Self More ❯

transparency and reproducibility. Publish research papers in internal and external venues of repute. Support on-call activities for critical issues. Basic Qualifications Master's or PhD in computer science, statistics or a related field. 2-7 years experience in deep learning, machine learning, and data science. Proficiency in coding and software development, with a strong focus on machine learning frameworks. More ❯

the apprentice's role, and maximises the time used as part of off-the-job training. Microsoft Office Specialist: Excel Associate. Data and Visualisation using SAS Data Analysis and Statistics SQL and Data Modelling Exploring Data Science using Python and R Data Challenge workshop Online development sessions (Optional) An apprenticeship has to be relevant to the job you are undertaking More ❯

key decision makers across the business Assist in the deployment and monitoring effort to ensure efficient productisation of the solutions created Key Skills and Experience: PhD. or masters in statistics, data science or equivalent field Previous experience within data science Experience in commercial pricing and modelling, ideally with a focus in Motor Experience and detailed technical knowledge of GLMs/ More ❯

key decision makers across the business Assist in the deployment and monitoring effort to ensure efficient productisation of the solutions created Key Skills and Experience: PhD. or masters in statistics, data science or equivalent field Previous experience within data science Experience in commercial pricing and modelling, ideally with a focus in Motor Experience and detailed technical knowledge of GLMs/ More ❯

Open to experience in Investment Banking as Senior Associate or VP level Strong understanding of statistical analysis and experiment design. Ideally a bachelor's degree or similar in, Mathematics, Statistics, or a related quantitative discipline is advantageous but not essential Experience in developing machine learning models using advanced techniques. Expert proficiency in SQL and databases, with the ability to write More ❯

strong modelling solutions Commercially aware, with a good understanding of market trends and the financial impact of modelling decisions A strong academic background (Bachelor’s or Master’s) in Statistics, Mathematics, Economics, Data Science, or a related discipline. Ability to manage multiple projects and stakeholders, prioritising effectively to meet deadlines Desirable: industry experience in sectors such as finance, automotive or More ❯

strong modelling solutions Commercially aware, with a good understanding of market trends and the financial impact of modelling decisions A strong academic background (Bachelor’s or Master’s) in Statistics, Mathematics, Economics, Data Science, or a related discipline. Ability to manage multiple projects and stakeholders, prioritising effectively to meet deadlines Desirable: industry experience in sectors such as finance, automotive or More ❯

of audiences Strong client relationship management skills Desirable Skills & Experience Experience with cloud-based machine learning services (AWS, Azure, GCP) Proficiency in Python and its libraries for data analysis, statistics, machine learning, and visualisation Expertise in machine learning frameworks such as TensorFlow and PyTorch Knowledge of Natural Language Processing (NLP) and Computer Vision techniques Strong understanding of probability concepts and More ❯

and developing individuals and teams to support an inclusive culture. What Were Looking For Our ideal candidate will have: A relevant professional qualification at degree level (e.g. Computer Science, Statistics) or equivalent experience. Proven experience in a senior data leadership role, including experience of successfully delivering transformational change and realising data strategies. A proven track record of leading analytics or More ❯

the world BASIC QUALIFICATIONS - Experience building machine learning models or developing algorithms for business application - PhD or Master's degree or Bachelorshi in a technical field (e.g., computer science, statistics, applied mathematics) with 4+ years of relevant experience. - Proven track record of designing, implementing, and deploying successful machine learning solutions for real-world business problems. - Expertise in areas such as More ❯

for ad-hoc analyses and data investigations. Maintain KPIs and metrics to track business performance against goals, including process improvements and reporting. Qualifications: Bachelor's degree in Data Science, Statistics, Business, or related field. At least 3 years of experience in data analysis, preferably in a tech or legal environment. Proficiency in SQL and experience with Power BI or similar More ❯

and contribute meaningfully to impactful projects. You will report to the Senior Commercial Data Science Manager. This role is ideal for someone with a strong background in mathematical modelling, statistics, economics, or optimisation who if eager to tackle high-impact, system-level decisions in the aviation industry. You will: Collaborate with senior/lead data scientists, analysts, and business stakeholders More ❯

Knowledge of statistical and data science techniques (forecasting, regression, clustering, etc.). Experience with data visualization tools like Tableau, Power BI, or Looker. Degree in a numerate field (Math, Statistics, Economics, etc.). 1-2 years of relevant experience in a fast-paced, digital or commercial environment. Who We're Looking For: A commercially driven analyst passionate about leveraging data More ❯

and results to both technical and business audiences. Curious, hardworking and detail-oriented, and motivated by complex analytical problems Preferred qualifications, capabilities, and skills • Strong background in Mathematics and Statistics and familiarity with the financial services industries and continuous integration models and unit test development • Knowledge in search/ranking, Reinforcement Learning or Meta Learning • Experience with A/B More ❯

Lead the delivery AI and Data Science programme across the organisation Lead and develop an existing Data Science Team to deliver Data Science solutions Champion Data Science and Advanced Statistics, providing advice to colleagues on the delivery of complex analytic work. Contribute to the development of the AI and Data science programme to drive high impact data science outcomes. Promote More ❯

complex findings to both technical and non-technical audiences. Data Visualization: Familiarity with data visualization tools like PowerBI, Looker, Tableau, QlikView, or others. Educational Background: A higher degree in statistics, mathematics, or another technical field. Language Skills: Proficiency in spoken and written English. More ❯

data/BI space - Experience with data visualization using Tableau, Quicksight, or similar tools PREFERRED QUALIFICATIONS - Experience managing, analyzing and communicating results to senior leadership - Master's degree in statistics, data science, or an equivalent quantitative field Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions More ❯

for this. Experience with data visualisation tools like Tableau, Grafana, or similar platforms. 3+ years experience in an analytics role. Experience in product analytics is required. Strong knowledge in statistics and probability, along with proficiency in designing and interpreting A/B tests to support data-driven decisions. Excellent problem-solving skills and attention to detail. Strong communication skills to More ❯

various business departments and provide venue specific customer insights that contribute to strategic decision-making. Qualifications Graduate and/or postgraduate degree in a relevant discipline (e.g. STEM, Maths, Statistics, Physics but not exclusively) or equivalent experience. Previous working experience in an analytical role, preferably within the gambling or gaming industry. Proficient in SQL and one or more of the More ❯

both technical and non-technical. Learn quickly and continuously from new tools and techniques to client domains and business challenges. Must-Have What Youll Bring A strong foundation in statistics, probability, and machine learning fundamentals either through a STEM degree, formal training, or self-study. Fluency in Python and SQL, including experience with libraries like Pandas, Scikit-learn, or equivalent. More ❯