1 to 25 of 434 Statistics Jobs

documentation of data analysis processes, methodology, and results to ensure replicability and transparency. What You Will Need • Bachelor's degree in computer science, data, statistics, mathematics, or a related field. Master's degree preferred. • Proven experience as a Data Analyst, Data Scientist, or in a similar role with a focus more »

data quality, and analytical methodologies. Stay current with industry trends and best practices in data analysis and visualization techniques. Qualifications: Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or related field. Master's degree preferred. Proven experience as a Data Analyst or similar role, with a strong track record more »

decisions around which methods and techniques to apply, and assists others in making these decisions. Knowledge of professional standards (including Code of Practice for Statistics, Data Protection Act, Freedom of Information Act) and their application. Understanding of a wide range of data quality issues and the application of the appropriate more »

with relevant teams to resolve them, ensuring accuracy and reliability of data Ideal Skills, Knowledge and Experience: • A relevant professional qualification in Data Science, Statistics, Mathematics, or a related field is desirable • Proven experience working as a Data Analyst or in a similar role Skillset: • Strong analytical skills with the more »

clear and concise manner. **Required Skills and Qualifications:** - Bachelor's degree or higher in a scientific or mathematical discipline (e.g., Computer Science, Mathematics, Physics, Statistics, Engineering). - Proficiency in programming languages such as Python, R, or Java. - Strong background in statistical analysis and machine learning techniques. - Experience with data visualisation more »

market. Undertake and record relevant Continuous Professional Development (CPD) to develop knowledge and skills. Competencies Technical/Qualifications Degree, ideally in computer science, IT, statistics, analytics, mathematics or other related field. Proven experience in data engineering, data analysis/processing, machine learning techniques, data warehouses, data pipelines, preferably in a more »

up-to-date with emerging trends and technologies in data analysis Requirements Bachelor's or equivalent experience in a quantitative field such as Mathematics, Statistics, Economics, or Computer Science Proven experience in data analysis or a related role Proficiency in SQL and data querying Experience with data analysis and visualisation more »

responsibilities, as assigned. To Succeed in this role: Bachelor’s or equivalent; preferred Bachelor of Science degree in a quantitative discipline (Computer Science, Mathematics, Statistics, Economics, Engineering, Operations Research) or the equivalent in related work experience. You are proficient in Python coding as this is a must-have requirement in more »

growth and innovation. The ideal candidate will have excellent analytical and problem-solving skills, strong programming and scripting abilities, and a deep understanding of statistics and machine learning algorithms. Key Responsibilities: Data Storytelling: Dive deep into vast oceans of data to uncover trends, patterns, and insights. Your ability to tell more »

with the latest advancements in data science, EV technology, and climate solutions. Qualifications: Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field. Experience working with geospatial data and GIS tools. Strong programming skills in languages such as Python, R, or Julia. Proficiency in more »

science techniques, tools, and best practices. Experience required of the Senior Data Scientist Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field. Experience and understanding of the Financial domain, with the ability to influence and shape business use-cases. Proven experience as a more »

Data Catalog, classification, and data quality standards of data elements) YOU BRING (EXPERIENCE & QUALIFICATIONS) Bachelor’s or higher degree, preferably in computer science, mathematics, statistics, or related fields 3+ years of experience working in data-related or project roles (e.g. Data Management, Data Governance, CDO Office, or BI & Analytics team more »

strong business acumen are essential in this role. BASIC QUALIFICATIONS · Bachelor's degree or higher in a quantitative/technical field (e.g. Computer Science, Statistics, Engineering). · 7+ years of relevant experience in building DW/BI systems · Demonstrated ability in data modeling, ETL development, and Data warehousing. · Strong experience more »

and/or Platforms. Experience of cloud data solutions (AWS, Google, Microsoft Azure), AWS preferred. Degree in Business Analytics or Technology, Computer Science, Math, Statistics or equivalent experience. Unfortunately, we are unable to provide sponsorship for work permits. Please only apply if you have the right to work in the more »

digital marketing analytics, preferably in a fast-growing B2B tech/SaaS business. Bachelor's or Master’s degree in data analytics, marketing analytics, statistics, or a related field. Strong proficiency with marketing analytics tools such as Google Analytics 4, Campaign Manager, Facebook Ads Manager, LinkedIn Ads Manager, and digital more »

A passion for learning new technologies and an interest in the Transportation, Environment or Energy sectors Bachelor’s degree in Computer Science, Applied Mathematics, Statistics, Engineering, or related fields Relevant industry experience, including demonstrable experience of delivering solutions, including machine learning, digital products, and working with large scale data Desirable more »

Experience Required: A minimum of 3 years' experience in a data analysis role A degree in a relevant field such as Computer Science, Economics, Statistics, or Mathematics Previous experience working with cross-functional teams to drive business results through data-driven insights If you are a strategic thinker with a more »

reports and analyses. Stay up-to-date with industry trends and best practices in BI and analytics. Requirements: Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or related field. Proven experience as a BI Analyst or similar role Proficiency in SQL for data manipulation and analysis. Experience with Power more »

Science, Data Science, Mathematics, or a related subject · Excellent knowledge of ML model development and the ML Lifecycle Essential skills · Problem-solving · Programming - Python · Statistics · Data science · Data Analytics · Data visualization · Knowledge of common ML Tools and Platforms · Machine learning: supervised & unsupervised · Instruct external annotators and manage annotation tasks · Written more »

to fast-paced, high autonomy environments Eager to contribute to a culture of growth and innovation Degree or equivalent in a relevant field, e.g Statistics, Mathematics Bonus points for: Energy retail sector experience Experience with Databricks Here's what else you need to know: Closing date – Friday 10th May more »

to fast-paced, high autonomy environments Eager to contribute to a culture of growth and innovation Degree or equivalent in a relevant field, e.g Statistics, Mathematics Bonus points for: Energy retail sector experience Experience with Databricks Here's what else you need to know: Closing date – Friday 10th May more »

to fast-paced, high autonomy environments Eager to contribute to a culture of growth and innovation Degree or equivalent in a relevant field, e.g Statistics, Mathematics Bonus points for: Energy retail sector experience Experience with Databricks Here's what else you need to know: Closing date – Friday 10th May more »

to fast-paced, high autonomy environments Eager to contribute to a culture of growth and innovation Degree or equivalent in a relevant field, e.g Statistics, Mathematics Bonus points for: Energy retail sector experience Experience with Databricks Here's what else you need to know: Closing date – Friday 10th May more »

Degree in a relevant subject such as mathematics or statistics. Training Desirable Any relevant further training/personal development in computer languages/tools, statistics, consultancy skills Experience Essential Experience of contributing to options appraisals so the Trust can take advantage of new tools and technologies Leads colleagues to create more »

Document methodologies, experiments, and results to ensure the reproducibility of analyses. About you Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field. Experience and understanding of Insurance Domain, and ability to influence and shape business use-cases. Proven experience as a Data Scientist more »