26 to 50 of 238 Remote Statistics Jobs

technical data into business-friendly insights. Proactive, self-motivated, and able to manage multiple priorities in a fast-paced environment. A degree in a quantitative field such as Mathematics, Statistics, Economics, Computer Science, Business Analytics, or a related discipline. Desirable: Experience with statistical programming languages (e.g., Python, R) for more advanced analysis. Direct experience analysing store-level performance data for More ❯

with cloud-based data platforms and tools, such as Azure Data Lake, AWS, or Google Cloud. Degree, or equivalent experience, in a quantitative field such as Data Science, Mathematics, Statistics, Computer Science, or related discipline. Strong working knowledge of Microsoft Office products, specifically MS Excel. Desirable Experience Prior involvement in transitioning data environments, such as migrating from traditional databases to More ❯

best practices and performance tuning of dashboards. Strong problem-solving skills and the ability to communicate complex findings clearly. Bachelor's degree in computer science, data/business analytics, statistics or a related field. Proficiency in SQL and experience with cloud data platforms like Snowflake. Strong skills in Tableau with a portfolio of dashboards that demonstrate business impact. Working knowledge More ❯

proficiency with MS Excel Experience with managing others Preferred Qualifications: Experience communicating and presenting complex technical concepts to non-technical audiences Undergraduate Degree in a numerical subject (e.g. Finance, Statistics, Mathematics, or Economics) Experience with Azure Databricks & the Azure Ecosystem Experience working in industries such as Healthcare, Financial Services, Banking or Telco Soft Skills: Communication skills, able to work with More ❯

about the flexibility you may need. What are we looking for? Education & Experience: We prefer candidates with a degree, apprenticeship, or diploma in a numerical discipline such as Mathematics, Statistics, or Data Science. Experience in coding, particularly with SQL and Python, is essential, though other languages are also welcome. Technical Skills: Must-Have: Advanced experience with Power BI: Creating and More ❯

methods to solve unique financial challenges. Commit to continuous learning in financial analytics, tools, and best practices to enhance data analysis capabilities. Qualifications: Bachelor’s degree in Finance, Economics, Statistics, Mathematics, or a related field. Strong foundational knowledge of data analysis, with a keen interest in developing further expertise in the finance sector. Proficiency in Excel is required; familiarity with More ❯

is preferred Have a deep knowledge of a sufficiently broad area of technical specialism (Optimisation, Applied Mathematics, Simulation) MS or PhD degree in Data Science, Computer science, applied mathematics, statistics, or another relevant discipline with a foundation in modelling and computer science is highly desirable, but not essential. Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an More ❯

data sets and data cleansing Qualifications: Good standard of higher education or relevant professional qualification (e.g., NVQ, CII).Strong analytical/mathematics skills, ideally with a degree in Actuarial, Statistics, Mathematics, Data Science or Computer Science). Any Chartered Insurance Institute qualification is a plus. Experience working in dynamic or growing teams would be advantageous. What's it like to More ❯

work. Ability to work with internal and external teams to iteratively arrive at solutions that fit their needs. Bachelor's/Master's in Data Science, Computer Science, Mathematics, Statistics, Sports Science, or a related field. Additional Qualities We Value: Experience working with large datasets and using tools such as Pandas, Scikit-Learn, or similar. Any experience training or implementing More ❯

and components while working alongside super-smart colleagues challenging and rewriting the rules, not just following them. What we expect from you 5+ years of experience required. Degree in Statistics, Maths, Physics, Economics or similar field Programming skills (Python and SQL are a must have, Pyspark is recommended) Analytical Techniques and Technology Experience with and passion for connecting your work More ❯

data solutions before deployment. Document business processes, data flows, and analytical requirements to support transparency and knowledge sharing. Your Background (Skills and attributes) Bachelor's degree in business, Finance, Statistics, or a related field. Proven experience as a Business Analyst with a focus on data and analytics. Strong attention to detail that is focussed on data quality, accuracy, and completeness More ❯

Help shape the team roadmap and longer-term strategy for behavioural signal development. About You MSc or equivalent industry experience in a relevant field (e.g. Computer Science, Engineering, Physics, Statistics). A PhD is welcome but not required. Experience delivering production-grade data science or engineering solutions, including design, implementation, and deployment Strong proficiency in Python and SQL, with practical More ❯

generate actionable recommendations for us as a team. Analyse client behaviour to understand engagement patterns, activation rates, and drop-off points. Qualifications A Bachelor's Degree in Data Analytics, Statistics, Computer Science, or a related field. Minimum of 4 years experience in a data analysis or similar role, preferably within a fast-paced SaaS or technology environment. (Scaleup experience is More ❯

proactively identify opportunities to incorporate these innovations into our AI strategies. Qualifications, Experience, and Attributes: Bachelor's degree or higher in a quantitative subject such as Computer Science, Mathematics, Statistics, Engineering, or a related field. Proven commercial experience in designing, developing, and implementing AI and GenAI solutions, with a strong focus on practical applications and real-world impact. Demonstrated expertise More ❯

Job Description Summary GE Aerospace is seeking a highly skilled and motivated Data Analytics and Reliability Engineer to join our team. In this role, you will be responsible for driving data validation, automation strategies, and predictive analytics initiatives to support More ❯

product innovation. Commit to continuous enhancement of data analytics skills, staying abreast of the latest industry tools and practices. Desired Qualifications: Bachelor’s degree in Computer Science, Data Science, Statistics, or a related technical discipline. Solid foundation in data analysis, with a keen interest in specializing within the tech sector. Proficiency in Excel; proficiency in SQL, Python, R, or other More ❯

algorithms and techniques. Extensive experience in building AI based applications Strong understanding of Software Development best practices and in OO Design principles and patterns. Very strong competency in mathematics, statistics, data structures and algorithms. A penchant for finding outstanding solutions to very difficult problems. Excellent communication skills and collaboration capabilities. Ability to work in a diverse/multi-cultural environment. More ❯

at least 2 years focused on deep learning and LLM applications. Strong programming experience in Python and hands-on development of ML pipelines. Solid knowledge of machine learning algorithms, statistics, and deep learning. Proven experience with PyTorch, TensorFlow, Scikit-learn, and transformer-based models. Practical knowledge of LLM integration (e.g., GPT, Claude) and RAG architecture. Experience with ML lifecycle management More ❯

to Ad Tech (DSP, SSP, programmatic auctions) or financial/trading data would be preferred Comfort with high-velocity event streams and real-time metrics Solid grounding in classical statistics (hypothesis testing, regression, significance, p-value pitfalls) Ability to translate data into plain-English insights and present to C-level audiences Experience working in cloud data warehouses (Snowflake, BigQuery, Redshift More ❯

Translate complex sensor data into clear findings for internal use and product development. About You MSc or equivalent industry experience in a relevant field (e.g. Computer Science, Engineering, Physics, Statistics). Candidates with a BSc and strong production experience will also be considered. Experience delivering data science or data engineering solutions into production. You're comfortable writing production-grade code More ❯

Teamwork: the capacity to operate as a team player, working co-operatively with colleagues and clients Academic background: degree at graduate or postgraduate level, preferably in Data Science, Mathematics, Statistics, Economics, Finance, and other social sciences with significant quantitative components. Other numerate degrees will also be considered Some experience working in the energy or utilities, environmental sector, or with public More ❯

Teamwork: the capacity to operate as a team player, working co-operatively with colleagues and clients Academic background: degree at graduate or postgraduate level, preferably in Data Science, Mathematics, Statistics, Economics, Finance, and other social sciences with significant quantitative components. Other numerate degrees will also be considered Some experience working in the energy or utilities, environmental sector, or with public More ❯

support and flexibility to make the most of your talents at Temper. What makes you a great fit: Bachelor's degree in a quantitative field such as Computer Science, Statistics, Economics, or a related discipline. Strong analytical and problem-solving skills with the ability to break down complex issues into manageable components. Proficiency in SQL for data querying and manipulation. More ❯

exchange ideas and stay current with cutting-edge developments Mentor junior researchers and foster a culture of scientific inquiry and innovation What You'll Need: PhD in Computer Science, Statistics, Mathematics, or related field, or equivalent research experience, with 5+ years post-graduation experience in advanced machine learning research Strong theoretical foundation in machine learning fundamentals and statistical methods Proficiency More ❯

engineers, and other stakeholders to align data science work with broader strategic goals under a "One Team" approach. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment. **Please note that this role More ❯