1 to 25 of 1,295 Statistics Jobs in London

Participate in the design, implementation, and maintenance of data warehouses ensuring data integrity, performance, and scalability. BASIC QUALIFICATIONS •Educational Background: Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field. •Experience: 1+ years of hands-on experience in Business Intelligence and Digital Transformation projects. •ETL Expertise: Proficiency in Alteryx Designer, including the ability More ❯

Please visit our careers site for more information https://gov.uk/ukhsa/careers Job responsibilities Data science is a broad and fast-moving field spanning maths, statistics, software engineering and communications. Data scientists will often work as part of a multidisciplinary team, using data and analytics to inform and achieve organisational goals. In this role, you will … computer science or IT equivalent which demonstrates core statistical skills; OR have worked in a statistical/data science field and are able to demonstrate continuous professional development in statistics/data science at the same level as a foundation degree/HND (Level 5) Ability to apply advanced analytical and statistical techniques using a variety of software/codebases More ❯

our careers site for more information https://gov.uk/ukhsa/careers Job description Job responsibilities Data science is a broad and fast-moving field spanning maths, statistics, software engineering and communications. Data scientists will often work as part of a multidisciplinary team, using data and analytics to inform and achieve organisational goals. In this role, you will … computer science or IT equivalent which demonstrates core statistical skills; OR have worked in a statistical/data science field and are able to demonstrate continuous professional development in statistics/data science at the same level as a foundation degree/HND (Level 5) Ability to apply advanced analytical and statistical techniques using a variety of software/codebases More ❯

promoting equity and equality of opportunity for all. Please visit our careers site for more information Job responsibilities Data science is a broad and fast-moving field spanning maths, statistics, software engineering and communications. Data scientists will often work as part of a multidisciplinary team, using data and analytics to inform and achieve organisational goals. In this role, you will … computer science or IT equivalent which demonstrates core statistical skills; OR have worked in a statistical/data science field and are able to demonstrate continuous professional development in statistics/data science at the same level as a foundation degree/HND (Level 5) Ability to apply advanced analytical and statistical techniques using a variety of software/codebases More ❯

the data needed for analyses. Skills & Experience Proven experience in data analysis, predictive modeling, and segmentation within a marketing or luxury/hospitality environment. Masters or equivalent degree in Statistics, Mathematics, Computer Science, or a related field is preferred. 3-5 years of experience in a data science or analytics role, with proven experience in developing statistical models to drive More ❯

IoT, AI, or blockchain where applicable. Collaborate with the product team to integrate analytical insights into existing service offerings. Required Qualifications Master's degree in Business Analytics, Data Science, Statistics, or a related quantitative field. 5+ years of experience in a BI or advanced analytics role, preferably in a client-facing environment. Expert-level proficiency in SQL, R or Python More ❯

continuous value demonstration. Person Specification: To excel as a Principal Data Scientist, you will typically possess: · Bachelor's/Master's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Physics, Engineering) or equivalent. · Extensive professional experience in data science, with a proven track record of technically leading and successfully delivering complex, impactful, and production-grade data science solutions. … for, applications of Generative AI, Large Language Models (LLMs), and related areas such as Natural Language Processing (NLP) or Computer Vision, relevant to business solutions. · Solid understanding of foundational statistics and experimental design. · Familiarity with or experience on cloud platforms Impact and Achievements: As a Principal Data Scientist, your success will be measured by your ability to: · Pioneer the development More ❯

Tableau, R Shiny, etc. experience - Experience managing data pipelines - Experience as a leader and mentor on a data science team - Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and More ❯

drive data-driven decision making. Knowledge of statistical analysis and modelling techniques. Strong understanding of data warehousing, data modelling and data governance principles and practices. Desirable requirements: Degree inMathematics, Statistics, Economics or Computer Science etc Microsoft Azure experience Experience working within the Higher Education sector. Why Arden: At Arden, you will become a part of a passionate and dedicated team More ❯

/Microsoft environments is considered a real plus. Proven understanding of data science methods for analyzing and making sense of research data outputs and survey datasets. Fluency in advanced statistics, ideally through both education and experience. Person Specification Bachelor's, Master's, or PhD in Data Science, Computer Science, Statistics, or a related field. Comfortable working with uncertainty and ambiguity More ❯

capabilities. Privacy and Compliance: Adhere to data privacy regulations and compliance requirements while handling sensitive and confidential data. QUALIFICATIONS Bachelor's degree in a quantitative field, such as Mathematics, Statistics, Economics, or Computer Science. A master's degree is a plus. At least 5 years of professional experience as a Data Analyst or in a similar role, demonstrating proficiency in More ❯

development and improvement of business practices and processes. Support the project team in all aspects of programming activities. Qualifications Bachelor’s or Master’s degree in Computer Science, Bioinformatics, Statistics, Mathematics, Pharmaceutical Sciences, or a related field Proven experience programming in R, including data manipulation, statistical modeling, and visualization (experience with packages such as ggplot2, dplyr, shiny, tidyr, etc.). More ❯

maintain a centralized repository. Establish and follow best practices in model versioning, reproducibility, and model governance. Qualifications Education Advanced degree (Master’s or Ph.D.) in Computer Science, Data Science, Statistics, or a related field. Equivalent experience will be considered. Experience Minimum of 5 years in a data science or machine learning-focused role. Technical Skills Expertise in designing and deploying More ❯

ensure they meet the intended objectives. Work closely with various business units to understand their data needs and challenges. Qualifications Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field. Strong proficiency in programming languages such as Python or R. Experience with SQL and familiarity with database management practices to handle and query More ❯

and t he successful candidate must have the right to work in the UK and meet the following criteria: Required Skills & Experience: Bachelor's degree in computer science , Mathematics, Statistics, Business Administration or related field Advanced knowledge of SQL (joins, aggregations, CTEs and window functions) Good knowledge of Python, including popular Data Science packages (pandas, matplotlib, seaborn, numpy , sklearn ) Familiarity More ❯

and experimental results. Mentor junior team members and contribute to the data science community of practice. Your Profile: Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related fields (PhD a plus). Strong programming skills in Python, with proficiency in data science libraries (NumPy, Pandas, scikit-learn). Experience with SQL for data querying More ❯

systems;and Developing a thorough understanding of financial statements. Skills, Knowledge, and Experience On track to achieve or have obtained a Master's degree in business analytics, data-science, statistics or equivalent programme focused on data and analytics. Strong work ethic; the desire to get things done and to learn and progress. Ability to express ideas with conviction throughout verbal More ❯

data and be driven to share that knowledge and excitement with others. In addition: Master's Degree in a STEM subject and experience in a related field i.e. MBA, Statistics, Data Science or equivalent experience (Mathematics, Information Science, Computer Science, or similar) Hands on experience with Advanced Analytics, Generative AI (GenAI), Statistics in a commercial environment A passion for writing … stakeholders; effectively translate technical concepts to business stakeholders and vice versa. Proven experience of change management skills. Core technical skills: Strong knowledge of data science fundamentals (Machine Learning methods, Statistics). Fluent in common analytics tools (Python, Pandas, Numpy, ScikitLearn, SQL, etc.) Comfortable to use data visualization libraries (e.g. Seaborn, Matplotlib) Demonstrated initiative, judgment and discretion while handling sensitive information … Preferred Qualifications: If you have the following characteristics, it would be a plus: PhD - in a STEM subject and experience in related field i.e. Statistics, Data Science or equivalent experience (Mathematics, Statistics, Information Science, Computer Science, ML, AI, Bioinformatics or similar) Demonstrated experience in product ownership and stakeholder management. Demonstrated experience with Azure stack (databricks, AMLS, etc.) Knowledge of the More ❯

requires a strong foundation in data science techniques, programming, and collaboration with cross-functional teams to deliver impactful business solutions. Principal Accountabilities 1. Apply advanced analytics techniques including mathematics, statistics, data mining, and predictive/prescriptive modeling to derive actionable insights from structured and unstructured data. 2. Develop and implement data science models using specialized programming languages and tools to … 8. Work cross-functionally with business units to integrate data science solutions into operational workflows and strategic initiatives. Skills and Competencies Education & Experience • M.Sc. in Data Science, Computer Science, Statistics, or a related field. • Minimum 2 years of experience in a data science or similar analytical role. • Experience with open-source data science tools and libraries. • Familiarity with AWS and More ❯

statistical packages. OR a PhD in a quantitative field with 3+ data analytics work experience using statistical packages. Programming: working knowledge of SQL and Python (or R) is required. Statistics: must have strong knowledge and experience in experimental design, hypothesis testing, and various statistical analysis such as regression or time-series analysis. Professional experience in marketing science, ideally within the … mindset of helping a customer-centric business. Know when to apply statistical measurement vs 80-20 analysis for business growth. Preferred: Master's degree in a quantitative field (e.g., Statistics, Computer Science, Engineering, Mathematics, Data Sciences). Ability to manage multiple projects at the same time while paying attention to detail. Distinctive problem-solving skills, good at articulating product questions … pulling data from large datasets and using statistics to arrive at a recommendation. Proven ability to own projects end-to-end, even when you have to get creative: you do more than completing delegated tasks. Demonstrated leadership and self-direction. Willingness to both teach others and learn new techniques. Ability to seek out new business questions and effectively scope projects More ❯

to the development and maintenance of machine learning models. Skills And Experience At least a master’s level qualification (or equivalent experience)inone of the following fields: Computer Science Statistics Finance another quantitative field with a substantial statistics component (for instance, knowledge of time series analysis, probabilistic forecasting and statistical modelling). Advanced, production-level,R coding skills including R More ❯

years in Data Analyst position or otherwise in projects involving big data —preferably in the tech, e-commerce, or digital marketing industry. Bachelor’s degree in Computer Science/Statistics/Math or Engineering or Economics and Finance is a plus. Data-Driven Approach:Strong analytical skills with the ability to analyze data, translate data into actionable insights, and generate … data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics microsoft power bi java Equal Opportunity Employer At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent More ❯

actionable insights. Stay updated on emerging technologies and best practices in data science to contribute to continuous improvement initiatives. **Qualifications and Skills:** Master's Degree in computer science, IT, statistics, analytics, mathematics, or related field. - Proven experience in data analysis, statistical modeling, and machine learning techniques, preferably in financial services or wealth management. Proficiency in programming languages such as Python More ❯

Stay current with advancements in machine learning, AI, and data science methodologies to continuously improve processes and solutions Requirements for the role Master’s or Ph.D. in Computer Science, Statistics, Mathematics, Engineering, or a related field (Bachelor’s with significant experience also considered) 3+ years of experience in data science, machine learning, or a related role Proficiency in programming languages More ❯

Quick Sight, Tableau, Power BI or other BI packages - Fluency in SQL and ETL PREFERRED QUALIFICATIONS - Knowledge of data modeling and data pipeline design - Masters degree in Business, Engineering, Statistics, Computer Science, Data Science, Mathematics or related field - Experience with at least one statistical programming language such as Python working with test/control methodology, time-series forecast, and/ More ❯