276 to 300 of 2,599 Statistics Jobs in the UK

analytics activities. Participating in ongoing education and training to stay abreast of industry developments and advancements in data analysis tools and techniques. Requirements: Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field is required. Experience with data models, database design development, data mining, and segmentation techniques. Proficiency with statistical analysis tools (e.g., SAS, SPSS, R More ❯

and building and maintaining data pipelines. The key skills required for the Data Scientist role are: A strong education foundation from a Bachelors or Masters degree in Engineering/Statistics/Mathematics/Computer Science/Finance Experience of working in a Data Scientist role for 1+ years Experience with PowerBI/Qlik or similar style technologies for building pipelines More ❯

project exposure and mentorship Candidate Profile We are seeking a motivated and analytical individual who is eager to learn and contribute. The ideal candidate will possess: A degree in Statistics, Mathematics, Computer Science, Economics, Business, or a related field Proficiency in Microsoft Excel for data manipulation and organization Basic understanding of SQL, or a strong interest in developing SQL skills More ❯

a network of emerging talent through our EVRi Emerging Talent Development programme. What you'll need to become aData Analytics Graduate: A minimum 2:1 degree in Data Science, Statistics, Computer Science, Maths, or a related field. Familiarity with data analysis coding languages like Python, R, or SQL. A keen interest in learning visualisation tools such as Tableau or PowerBI. More ❯

Learning problems, and a familiarity with Classical Machine Learning, Deep Learning and Statistical Modeling techniques Ph.D. in ML, NLP or a relevant field or MSc in CS, ML, Math, Statistics, Engineering, or related fields and previous relevant work experience Proficiency in software engineering An understanding of Computer Science fundamentals such as data structures and algorithms and a data oriented approach More ❯

work closely with product, services, and partner organizations on enablement activities. We’re looking for candidates who have: A bachelor's degree or higher in computer science, data science, statistics, mathematics, economics, or a related field Solid experience in a data science, analytics, or consulting role, preferably in the cryptocurrency, financial services, or cybersecurity domains Proficiency in Python, Spark, SQL More ❯

bioinformatics, biostatistics, or a related field. 3+ years of professional experience in biotech, pharma, or academia focusing on life science projects (ideally oncology drug discovery). Strong foundation in statistics, data analysis and machine learning. Experience working with high-dimensional biological datasets (e.g., transcriptomics, proteomics, genomics, imaging data). Proficient in Python and/or R for data wrangling, modeling More ❯

Help lead junior analysts and prioritise teams workload as well as your own, based on business and client needs Desirable: A bachelor’s degree in a numeric subject (Mathematics, Statistics, etc.) or equivalent Experience working within credit risk/debt recovery industry Working knowledge of Python and/or R Experience using data visualisation tools such as Tableau or PowerBI More ❯

in project and product coordination when needed- with input from Technical specialist, Annotation manager and Senior annotators. You'll need to have: A bachelor's degree or above in Statistics, Data Analytics and Data Science or other STEM related fields. A minimum of four years of demonstrated experience in data management concepts such as data quality, random sampling and data More ❯

Manager. Qualifications Preferred Qualifications Experience working in the data science, data engineering or analytics profession Graduate or post graduate degree (or equivalent experience) in a quantitative field such as statistics, computer science, mathematics, engineering, operational research, economics, etc Experience working in the payments industry (e.g. financial institutions, credit reference agencies, payment processors) Hands on experience working with extremely large data More ❯

problem-solving and analytical abilities. Excellent communication skills for collaborating with stakeholders. Experience working in an Agile development environment. Required/Preferred Education Bachelor’s Degree in Computer Science, Statistics, Mathematics, Life Sciences, or other relevant scientific fields; Master’s Degree preferred 5-7 years of experience in data engineering, with at least 2 years focusing on healthcare, research or More ❯

and their associated exposures (e.g. the “Greeks”) Time series modelling (both machine-learning and econometric methods) Proficiency in visualizing complex data for a broad audience Advanced qualifications in mathematics, statistics, and machine learning preferred. ofi is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, nationality, disability More ❯

business experience (1+ years) within a data scientist role, solving problems through data. Good understanding of machine learning modelling techniques & proven experience deploying these within a business Adept in statistics and experience of using statistical techniques Experience of analysing large datasets and communicating complex algorithms and methodologies to key technical and non-technical stakeholders. A detail oriented, highly logical, and More ❯

written communication & data presentation skills; Set yourself apart: Ability to lead large projects and drive through to completion Mastery of problem solving and solutioning Proven history and background in statistics/mathematics/macroeconomics What's in it for you At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes More ❯

problem-solving and analytical abilities. Excellent communication skills for collaborating with stakeholders. Experience working in an Agile development environment. Required/Preferred Education Bachelor’s Degree in Computer Science, Statistics, Mathematics, Life Sciences, or other relevant scientific fields; Master’s Degree preferred 5-7 years of experience in data engineering, with at least 2 years focusing on healthcare, research or More ❯

problem-solving and analytical abilities. Excellent communication skills for collaborating with stakeholders. Experience working in an Agile development environment. Required/Preferred Education Bachelor’s Degree in Computer Science, Statistics, Mathematics, Life Sciences, or other relevant scientific fields; Master’s Degree preferred 5-7 years of experience in data engineering, with at least 2 years focusing on healthcare, research or More ❯

Validation, or a similar quantitative role within financial services or other regulated industries; or a recent relevant PhD. A numerate degree or equivalent experience, for example in Data Science, Statistics, Mathematics, Computer Science or Physics. Strong analytical and problem-solving skills with the ability to critically evaluate complex AI systems and models. Excellent written and verbal communication skills, with an More ❯

an inclusive and diverse work environment where every team member feels valued, respected, and empowered. What we're looking for: Education: Master's degree in Computer Science, Electrical Engineering, Statistics, Mathematics, or a related field. A PhD is a plus. Principal Engineer: 6+ years of experience in anomaly detection, machine learning, or related technical fields. Domain Expertise: Prior experience in More ❯

an inclusive and diverse work environment where every team member feels valued, respected, and empowered. What we're looking for: Education: Master's degree in Computer Science, Electrical Engineering, Statistics, Mathematics, or a related field. A PhD is a plus. Principal Engineer: 6+ years of experience in anomaly detection, machine learning, or related technical fields. Domain Expertise: Prior experience in More ❯

and more or less experience can apply. Rates of pay and salary ranges are dependent upon your experience, qualifications and training. Qualifications Bachelor's or Master's degree in Statistics or Applied Mathematics or equivalent experience 1 - 2 years' Data Analysis experience Proficient in SQL If you find this opportunity intriguing and aligning with your skill set, we welcome the More ❯

of the Data Science team, including learning pathways, best practices, and innovation. WHAT YOU NEED TO KNOW (or TECHNICAL SKILLS) Bachelor's or Master's degree in Computer Science, Statistics, Engineering, or similar technical field/experience Hands-on data science expertise with code-based model development e.g. R, Python Strong knowledge of deploying end-to-end machine learning models More ❯

leadership regarding technical/architectural trade-offs, best practices, and risk mitigation. Eligibility for the UK Security Clearance. PREFERRED QUALIFICATIONS Master's degree in a quantitative field such as statistics, mathematics, data science, engineering, or computer science. Knowledge of the primary AWS services (ec2, elb, rds, route53 & s3). Experience with software development life cycle (sdlc) and agile/iterative More ❯

problem-solving and analytical abilities. Excellent communication skills for collaborating with stakeholders. Experience working in an Agile development environment. Required/Preferred Education Bachelor’s Degree in Computer Science, Statistics, Mathematics, Life Sciences, or other relevant scientific fields; Master’s Degree preferred 3-5 years of experience in data engineering, with at least 1.5 years focusing on healthcare, research or More ❯

Power BI and SAP is beneficial but not essential. Ability to manage and analyse large data sets, with some advanced analytical or statistical expertise. Education: Degree in business, economics, statistics, or a related field preferred. Personal Attributes: Excellent communication and presentation skills, with the ability to influence stakeholders at all levels. Strong problem-solving and analytical mindset. Proactive and results More ❯

drive operational improvements. What We're Looking For: 8+ years of work experience in an Analytics role. Relevant Master's degree in any of the following fields: computer science, statistics, mathematics, physical sciences with strong understanding of data analytics. Proficiency in SQL (to feel comfortable manipulating data, creating scripts that combine different data sources and interpret results) and Python/ More ❯