26 to 50 of 366 Remote Statistics Jobs

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 ❯

of products and categories, optimising across space and range and increasing automation of category decision making. What we expect from you PhD in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Applied Statistics, Physics, Engineering, Biology or related field. 3- 5years of experience required Experience with machine learning techniques such asregularised regression, clustering or tree-based ensembles, and the ability to More ❯

Microsoft Azure (preferred), AWS, or 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 top-tier clients 🌟 Professional development More ❯

data generation process and challenges 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 impact. Fluency in Python, Pandas More ❯

with the product, marketing, and engineering teams to turn insights into product features and campaigns. Preferred Qualifications for the Data Scientist : Bachelors degree in a quantitative field (e.g., Mathematics, Statistics, Computer Science, Data Science, Engineering, or similar) is required. Masters degree in a relevant field is a strong plus, especially with hands-on experience in gaming, betting, or consumer apps. More ❯

environments Collaborate with team members and stakeholders to build data science products that enable others to make business decisions Qualifications Postgraduate degree in a relevant discipline (e.g. STEM, Maths, Statistics, Physics) or equivalent experience Good data modelling, software engineering knowledge, and strong knowledge of statistical, mathematical and ML modelling are a must at this stage. Skilful in writing well-engineered More ❯

Beinga topic expert on Machine Learning and AI for your project team, enablingstrong project planning and team performance Your profile: Degreein a quantitative field, such as computer science, engineering,statistics, operational research, data science, or equivalent experience 2+years work experience in data science, working in a commercial setting orin consulting Experiencewith Machine Learning and statistical modelling techniques Strongprogramming skills in More ❯

of the industry's top apprenticeship providers, we can provide training and development at each level of your career. Qualifications Degree level qualification in a relevant subject e.g. mathematics, statistics, computer science, etc. Best Practice knowledge and experience of Data Science standards and approaches. Expert in Python, SQL and other coding languages and platforms. Expert in statistical and AI modelling More ❯

ensuring compliance with regulatory and internal policies, while maintaining clear documentation of pricing models and strategies. What you'll need to succeed Bachelor's degree in Economics, Business, Mathematics, Statistics, Finance, or a related field. A Master's degree or certification in pricing are a plus. 2+ years of experience in dynamic pricing, revenue management, or a related analytical role. More ❯

enabled insights, allowing our customers to remain relevant, capture market share, create deeper connection with consumers. Requirements · Bachelor’s degree in the quantitative research field, such as Data Science, Statistics, Mathematics, Social sciences, Biological/Physical science, or Computer Science; Masters preferred. · 4+ years of experience in using Python to prepare, aggregate, or transform data (both structured and unstructured) for More ❯

enabled insights, allowing our customers to remain relevant, capture market share, create deeper connection with consumers. Requirements · Bachelor’s degree in the quantitative research field, such as Data Science, Statistics, Mathematics, Social sciences, Biological/Physical science, or Computer Science; Masters preferred. · 4+ years of experience in using Python to prepare, aggregate, or transform data (both structured and unstructured) for More ❯

Expertise in using data visualization tools such as Google Looker and working with Google's BigQuery. Experience in design and evaluation of A/B tests. Familiarity with Bayesian statistics, especially for hypothesis testing. Extra points for good knowledge of Bayesian programming (PyMC3, etc). Experience with application of optimization theory or reinforcement learning based on automated A/B More ❯

automation, data integrity and data integration. Create, implement, and support credit risk quantitative models leveraging mathematical and computer science methods and tools including Python , SQL, PowerBI, mathematical finance, and statistics and probability Maintain clear and coherent communication, both verbal and written, to understand data needs and communicate report results. Remain up to date with the latest technology, techniques and methods. More ❯

automation, data integrity and data integration. Create, implement, and support credit risk quantitative models leveraging mathematical and computer science methods and tools including Python , SQL, PowerBI, mathematical finance, and statistics and probability Maintain clear and coherent communication, both verbal and written, to understand data needs and communicate report results. Remain up to date with the latest technology, techniques and methods. More ❯

automation, data integrity and data integration. Create, implement, and support credit risk quantitative models leveraging mathematical and computer science methods and tools including Python , SQL, PowerBI, mathematical finance, and statistics and probability Maintain clear and coherent communication, both verbal and written, to understand data needs and communicate report results. Remain up to date with the latest technology, techniques and methods. More ❯

automation, data integrity and data integration. Create, implement, and support credit risk quantitative models leveraging mathematical and computer science methods and tools including Python , SQL, PowerBI, mathematical finance, and statistics and probability Maintain clear and coherent communication, both verbal and written, to understand data needs and communicate report results. Remain up to date with the latest technology, techniques and methods. More ❯

set and continuously seek to learn and improve. Ideally, you bring strong programming skills and can rapidly learn new programming languages. You may come from a background in mathematics, statistics, analytics, computer science, engineering, or a related field, but we don't expect everyone to fit a single profile. We value diversity of thought and experience and offer development support More ❯

ata Scientist - Permanent Role Location: York or Manchester Type: Permanent Reporting to: Head of Data Science A leading financial services company is seeking a talented Data Scientist to join their innovative technology team, driving impactful solutions that shape the business More ❯

ata Scientist - Permanent Role Location: York or Manchester Type: Permanent Reporting to: Head of Data Science A leading financial services company is seeking a talented Data Scientist to join their innovative technology team, driving impactful solutions that shape the business More ❯

visualisations and self-service reporting to support business functions - Act as a thought leader to promote a data-driven culture within the organisation Essential Criteria - Bachelor's degree in Statistics, Mathematics, Computer Science, or a related quantitative discipline - 7+ years of experience with advanced SQL (Snowflake, BigQuery, Redshift, Oracle, PostgreSQL, MSSQL, etc.) - 5+ years of experience with reporting/visualization More ❯

full life cycle of MI, PBI reports, and Dashboard. Work closely with software developers and data analysis teams to produce innovative reports and dashboards. What we are looking for Statistics, Mathematics, or a related field. Excellent problem-solving abilities, analytical skills, and attention to detail. Proficiency in programming languages such as Python , R or Scala. Experience with infrastructure technologies (e.g. 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 ❯

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 ❯

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 ❯