1 to 25 of 366 Remote Statistics Jobs

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

and engagement strategies. Collaborate with data engineers to optimise data architecture, data quality, and data governance frameworks in AWS. Requirements: 1.Bachelor's or master's degree in Computer Science, Statistics, Mathematics, or a related field. 2.Proven experience as a Data Scientist, preferably in a cloud-based environment using AWS analytics services. 3.Strong proficiency in AWS analytics services, such as Amazon 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 ❯

architecture and AI technologies. Performs other duties as assigned. Complies with all policies and standards. Education/Experience: A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science). Requires 5 - 7 years of related experience. Or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of More ❯

architecture and AI technologies. Performs other duties as assigned. Complies with all policies and standards. Education/Experience: A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science). Requires 5 - 7 years of related experience. Or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of More ❯

architecture and AI technologies. Performs other duties as assigned. Complies with all policies and standards. Education/Experience: A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science). Requires 5 - 7 years of related experience. Or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of More ❯

architecture and AI technologies. Performs other duties as assigned. Complies with all policies and standards. Education/Experience: A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science). Requires 5 - 7 years of related experience. Or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of More ❯

architecture and AI technologies. Performs other duties as assigned. Complies with all policies and standards. Education/Experience: A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science). Requires 5 - 7 years of related experience. Or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of More ❯

tools to support business growth. Skills and Experience Education and Certifications A third-level degree, with a strong academic record in a quantitative field of study (e.g., Data Science, Statistics, Mathematics, Computer Science). Minimum of 2 5 years of relevant experience in data analysis, business analysis, or technology consulting within financial services, ideally funds or asset management. Working knowledge More ❯

proficiency in R (required) and working knowledge of Python (preferred). Familiarity with legacy statistical software such as SPSS, Stata, or SAS is welcome. Proven ability to: Apply inferential statistics and econometric techniques Conduct regression modelling and data wrangling Apply machine learning methods (e.g. clustering, decision trees) Work with structured datasets and survey designs Experience or interest in AI and More ❯

proficiency in R (required) and working knowledge of Python (preferred). Familiarity with legacy statistical software such as SPSS, Stata, or SAS is welcome. Proven ability to: Apply inferential statistics and econometric techniques Conduct regression modelling and data wrangling Apply machine learning methods (e.g. clustering, decision trees) Work with structured datasets and survey designs Experience or interest in AI and More ❯

updated with the latest trends and advancements in data science and machine learning. Essential Requirements: Currently pursuing a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. Strong understanding of data analysis, statistics, and machine learning concepts. Proficiency in programming languages such as Python. Experience with data visualization tools like Power BI. More ❯

updated with the latest trends and advancements in data science and machine learning. Essential Requirements: Currently pursuing a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. Strong understanding of data analysis, statistics, and machine learning concepts. Proficiency in programming languages such as Python. Experience with data visualization tools like Power BI. More ❯

goals. Visualise data insights: Build and maintain interactive dashboards and visualisations that provide clear, actionable insights for stakeholders. Requirements : Bachelor’s degree in a STEM field: Preferred disciplines include Statistics, Mathematics, Computer Science, Engineering, or related fields. Proficiency in programming languages: Experience with Python and SQL for data analysis, manipulation, and modeling. Basic understanding of machine learning: Familiarity with predictive More ❯

goals. Visualise data insights: Build and maintain interactive dashboards and visualisations that provide clear, actionable insights for stakeholders. Requirements : Bachelor’s degree in a STEM field: Preferred disciplines include Statistics, Mathematics, Computer Science, Engineering, or related fields. Proficiency in programming languages: Experience with Python and SQL for data analysis, manipulation, and modeling. Basic understanding of machine learning: Familiarity with predictive More ❯

analytical and problem-solving skills, with a keen eye for detail. Effective written and verbal communication skills to share insights with diverse audiences. A degree in Data Science, Computing, Statistics, Economics, or a related field is preferred. This is a great opportunity to grow your analytical skills and gain hands-on experience in a data-driven environment. If you're More ❯

stress testing or economic capital modelling; propensity modelling; or a combination thereof. A bachelor's degree in a quantitative analytical discipline (2.1 or higher), e.g. mathematics, applied mathematics, physics, statistics, engineering, econometrics. (Confirmation will be sought if successful for the role.); Ideally have advanced level of SAS or SQL programming - an equivalent level in an alternate programming language would be More ❯

CI etc. Ability to work effectively both independently and collaboratively within a remote, agile team environment. Qualifications A Master's degree in a relevant field such as Data Science, Statistics, Computer Science, Bioinformatics, or a related quantitative discipline with a focus on scientific applications is preferred. Relevant work experience in a data science role within scientific publishing, research, or a 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 ❯