26 to 50 of 496 Remote Statistics Jobs

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 More ❯

opportunities Ability to work effectively with guidance from senior data science team members Skills and Qualifications Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Actuarial Science, or related discipline) 3-6+ years of experience in underwriting, quantitative analysis, or risk modeling in the insurance industry More ❯

HR Stat, Human Capital Operating Plans, Employee Viewpoint Survey, etc.). Education: Bachelor's degree in a relevant field, such as public policy, economics, statistics, business, data science, or industrial/organizational psychology (master's degree in in related field preferred) Security Pre-Requisite: To be considered, must have a More ❯

. Knowledge of Big Data technologies (e.g., Hadoop, Spark). Certification in relevant ETL or data integration technologies. Bachelors Degree in data science, mathematics, statistics, economics, computer science, engineering, or other related business or quantitative discipline. Ability to obtain and maintain a Public Trust. CGI is required by law in More ❯

Candidate Profile Experience: Minimum of 2 years in data engineering, systems analysis, or data analysis Education: Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related field Languages & Tools: Python, SQL, APIs, Tableau/Power BI, Talend/Informatica, AWS Databases: MSSQL, PostgreSQL, MySQL, NoSQL Cloud: AWS (preferred More ❯

Candidate Profile Experience: Minimum of 2 years in data engineering, systems analysis, or data analysis Education: Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related field Languages & Tools: Python, SQL, APIs, Tableau/Power BI, Talend/Informatica, AWS Databases: MSSQL, PostgreSQL, MySQL, NoSQL Cloud: AWS (preferred More ❯

with the data. Analyze and leverage the extensive data received from our application to enhance model performance and accuracy. Requirements Master's degree in Statistics, Mathematics or Computer Science. Minimum of 4 years of experience in designing, developing and deploying production-level deep learning recommendation models with a proven business More ❯

collaboratively in a fast-paced environment. Experience in the insurance or financial services industry is a plus. A degree in Data Science, Business Analytics, Statistics, Computer Science, or a related field would be preferred but is not essential Compensation and benefits On top of a competitive salary, great teams and More ❯

analysis and product analytics. Continuously improve data collection processes and tools. Bachelor's or Master's degree in a related field (e.g., Data Science, Statistics, Business Analytics). 7+ years of experience with at least 3+ years of experience as a Product Analyst, or similar role in a 2-sided More ❯

actions. Participate in the evaluation and implementation of new data analytics tools and technologies. Skills & Qualifications: Bachelor's degree in Computer Science, Information Systems, Statistics, or a related field. Experience in a data analytics role, with a strong focus on core banking data. Proven experience working with large and complex More ❯

Experience using deep learning packages (TensorFlow, PyTorch, JAX) Experience cleaning data, prototyping, and fine-tuning state of the art deep learning models Experience with statistics, machine learning, and reinforcement learning Experience with software engineering and software development best practices Familiarity with Unix/Linux operating systems Demonstrated technical leadership in More ❯

Leverage various computing resources such as GPU clusters and cloud-based compute servers. Required Qualifications Bachlors degree in STEM fields such as computer science, statistics, statistics, data analytics, computer engineering, mathematics, and physics. 3+ years of related professional experience. Proficiency with major data science tools and languages such as Python More ❯

Google Cloud. ✅ Good knowledge of optimization techniques and design patterns for large data solutions. ✅ A Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science (nice to have!) What’s in It for You? 🌟 Flexible remote working, must be UK based. 🌟 Work on cutting-edge AI projects with More ❯

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 More ❯

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 More ❯

paced environment, delivering on multiple projects with tight deadlines, especially during key reporting periods. Bonus Points for: Educational background in Business Analytics, Engineering, Maths, Statistics, or similar quantitative discipline preferred. Direct experience working within a cloud based FP&A tool along with working with Hubspot and Xero. Understanding of databases More ❯

Thrive in a fast-paced, high-growth, rapidly changing technical environment Enthusiastic about emerging technology and Insurtech Desirable; Bachelor's degree (or equivalent) in statistics, applied mathematics, or related discipline Experience working on data within Insurance, a B2B company and/or Commercial Team Ability to drive commercial outcomes using More ❯

AI solution blueprints, ensuring alignment with strategic objectives and efficient execution. Qualifications: Educational Background: Bachelor's degree or higher in Computer Science, Engineering, Mathematics, Statistics, or a related field. Management and Technical Expertise: Extensive hands-on experience with platform MLflow and MLOps databricks features. Popular Gen AI LLM models (e.g. More ❯

communication. Preferred Qualifications Familiar with data manipulation and experience with Python libraries like Flask, FastAPI, Pandas, PySpark, PyTorch, to name a few. Proficiency in statistics and/or machine learning libraries like NumPy, matplotlib, seaborn, scikit-learn, etc. Experience in building ETL/ELT processes and data pipelines with platforms More ❯

science or analytics roles. Proficient in Python, SQL and data science tools. Comfortable working with time-series data and applying machine learning techniques. Strong statistics background and problem-solving abilities. Independent and self-motivated with excellent communication and collaboration skills. Telecom experience isn’t necessary - just bring your enthusiasm to More ❯

constraints of secure environments, ensuring compliance with all security protocols and procedures. Qualifications: • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field • Proven experience in data science and machine learning, with a focus on natural language processing and LLMs. • Proficiency in programming languages More ❯

with the ability to translate complex data insights into clear and engaging narratives for both technical and non-technical audiences. You are familiar with statistics, A/B testing, and data storytelling principles. A strong understanding of the ecommerce space, including search, personalization, and merchandising trends is preferred. You are More ❯

like Looker Mastered various statistical techniques and analysis Knowledge in cloud infrastructure technologies like AWS & Google Cloud is a HUGE plus Bachelor Degree in Statistics, Mathematics, or IT Benefits 25 days holiday: Enjoy 25 days of paid holiday, in addition to bank holidays to relax and refresh throughout the year. More ❯

stay current with changes in core practices, frameworks, and tools. Investigate and resolve reported issues. Qualifications Bachelor's degree in Data Science, Computer Science, Statistics, or a related field OR equivalent learning and experience. 4+ years experience implementing AI/ML products or advanced degrees. Experience with one or more More ❯

effectively. Working with the database and performing detailed analysis to detect patterns and estimate impact. What we're looking for: University degree in Mathematics, Statistics, Economics or similar. 4+ years previous experience working in the payments, gaming, gambling, or crypto industry on risk and fraud/AML and compliance topics More ❯