51 to 75 of 223 Remote Statistics Jobs

GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A good quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science) Experience of WTW's Radar and Emblem software is preferred Proficient at communicating results in a concise manner both verbally and written Behaviours: Self More ❯

Lead the delivery AI and Data Science programme across the organisation Lead and develop an existing Data Science Team to deliver Data Science solutions Champion Data Science and Advanced Statistics, providing advice to colleagues on the delivery of complex analytic work. Contribute to the development of the AI and Data science programme to drive high impact data science outcomes. Promote More ❯

data with engineers. Experience with BI/notebook tooling (Looker, Hex, Mode, Tableau, or similar) and data transformation tools like dbt. Bachelor's or Master's in Finance, Economics, Statistics, Data Science, or a related field. Benefits: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build More ❯

customer experiences. You thrive in working autonomously to drive impact in a fast-paced cross-functional business. PhD or MSc or equivalent a numerate subject: Machine Learning, Computer Science, Statistics, or similar Demonstrable experience of applying, researching, and developing sophisticated statistical/ML methods to drive value in a commercial setting, Ability to deliver projects on time, taking project briefs More ❯

broader marketing performance strategies. Participate in Go-To-Market Activities to drive Accenture's Marketing Data & AI revenue pipeline Qualification Basic Qualifications Bachelor's or Master's degree in Statistics, Economics, Mathematics, Marketing Science, or a related field. Strong experience in advanced analytics, includi marketing mix modelling . Proven experience in managing client relationships and leading project teams. Deep understanding More ❯

communicate with both technical and non-technical audience and strong stakeholder management experience. Minimum criteria You'll need all of these. Educated to a degree standard, ideally in applied statistics/Data Science/Mathematics. Strong experience using machine learning to solve business problems involving both structured and unstructured data. Experience of working with cloud-based data stores such as More ❯

to anticipate needs and problems and act accordingly. • Excellent organizational and time management skills with demonstrated ability to manage conflicting priorities. Education and Experience: • Bachelor's degree in mathematics, statistics, business, law, government, physical science, or management discipline such as business administration, accounting, finance, economics. • Experience - At least 10 years of general experience highlighting strategic decision-making, complex problem solving More ❯

both operational and data stakeholders in a timely and concise manner. This role will be a great fit if: Bachelor's degree in a quantitative field (e.g., Computer Science, Statistics, Engineering) or equivalent work experience in Data Analytics. 5+ years of experience in a data analyst or similar role, ideally with experience working within operational or customer-facing teams. Advanced More ❯

or you're a quick learner. Have handled real-world data messiness before (missing events, conflicting definitions) and know how to get to "good enough" without getting stuck. Treat statistics as a power tool, not a party trick-confident with basic stats and able to recognise when fancier models are (or aren't) worth it. Thrive in an early-stage More ❯

to standards. Utilise data integration tools and languages to integrate and store data, and advise teams on best practice. Competencies & Experience: Bachelor's degree in a quantitative field (e.g. statistics, mathematics, computer science) 4 years of experience as a data analyst Strong analytical and problem-solving skills Experience with SQL, Excel, and/or Python Experience with AWS data related More ❯

controls Collaborate with Commercial Pricing to align models to business goals Mentor and support junior analysts and team members What We’re Looking For: Degree (graduate or postgraduate) in Statistics , Mathematics , or a related analytical field Experience in a pricing or actuarial role in general insurance Hands-on experience with Earnix or Radar Proficient in Python or R for data More ❯

and experience: A or A grades in Mathematics and other numerate A-levels. 2'1 or above degree in a numerate discipline: for example, but not limited to, Mathematics, Statistics, Engineering or Physics. A PhD or a research-based Masters is highly desired for this role. Excellent analytical skills with the ability to manipulate and interpret data. The job holder More ❯

geospatial analysis, or software and tools development Demonstrate foundational expertise in one or more of the following fields: Computer Science, Data Science, Data Analysis Criminology, Psychology, Applied Social Sciences Statistics, Mathematics, Systems Analysis, Engineering Intelligence, National Security, Cyber Security Geographic Information Systems, Geospatial Analysis Location: Washington DC Metro Area/Northern Virginia Remote Work: Not eligible, COVID-19 mitigations may More ❯

on tooling and to build impactful technology Communicate complex concepts to technical and non-technical stakeholders through clear storytelling Required Skills Education: Bachelor's or Master's degree in Statistics, Data Science, Computer Science or related field Experience: Proven experience in ML model lifecycle management Core Competencies: Model lifecycle: You've got hands-on experience with managing the ML model More ❯

solutions Preferred Knowledge & Skills Bachelors Degree Required, ideally in Information Sciences or Business Studies Excellent knowledge of Microsoft Office, including Excel and PowerPoint. Data analysis skills essential; knowledge of statistics modelling is preferred. Experience with analytics tool such as Tableau, SQL, R, Python or MATLAB is a plus. Client-facing experience is a plus. Hybrid working (2 days in London More ❯

solutions. Skilled at translating complex data into clear, compelling insights for non-technical audiences through effective communication and storytelling Education and/or Experience Requirements: Bachelor's Degreein Marketing, Statistics, Mathematics, Computer Science, or Finance. Preferred: Bachelor's Degree inFinance, Mathematics, or Statistics. Master's Degree Preferred 5+ years of experience in marketing or customer analytics. 1+ years in a More ❯

various sources Build and maintain documentation for reporting processes, metrics definitions, and data models Qualifications Desired skills and competencies Bachelor's degree in a relevant field (e.g., Data Analytics, Statistics, Human Resources, Business, or related field) 3 years of experience in data analysis, preferably in an HR context Strong proficiency with data analysis tools (e.g., Excel, SQL, Power BI) Excellent More ❯

to strategic, cross-functional initiatives within the model risk organisation. What we'll need from you: Master's Degree or equivalent in STEM or other quantitative fields required (Mathematics, Statistics, Financial Engineering, Quantitative Finance etc.) with demonstrated Quantitative experience. Fewer years of relevant experience will be considered for candidates with higher academic qualifications and/or certifications such as a More ❯

quantitative models into broader business processes. What qualifications or skills should you possess in this role? Bachelor's or Master's degree in a quantitative field such as Mathematics, Statistics, Physics, Engineering, Computer Science, or a related field. Strong programming skills in Python, with experience bringing code to production. Solid understanding of structured products and their mechanics. Strong mathematical and More ❯

you We're looking for someone who is naturally curious, analytical, and ready to challenge the status quo. You'll have: A degree in a numerate subject (e.g. Mathematics, Statistics, Economics, or similar). Strong hands-on experience with SQL, SAS, Python or equivalent - you can interrogate large datasets with confidence. Advanced Excel skills. Experience with fraud strategy, credit risk More ❯

actionable outcomes. Develop and deliver media optimization scenarios. Collaborate with internal teams implement recommendations. Contribute to the growth and ambition of a small, dynamic team. Qualifications Degree in Economics, Statistics, or STEM field Understanding of Marketing Mix Modelling (MMM) and its impact on media planning Experience with analytical techniques such as statistical modelling, data visualization, and trend analysis. High level More ❯

best practices, documentation, and knowledge sharing across teams What you'll need 3+ years experience in treasury analytics Great skills with SQL and Python Evidence of solid mathematical and statistics knowledge Experience working within a bank's treasury function, with specific exposure to liquidity management and asset and liability management Nice to have An advanced degree in a core STEM More ❯

business stakeholders up to executive level roles. What we are looking for Bachelor's or Master's degree in Industrial Engineering, Supply Chain, Operations Research, Computer Science, Computer Engineering, Statistics, Information Technology or a related field. Minimum 8 years of broad experience in software implementation consulting in the supply chain planning or supply chain execution space or business experience in More ❯

on performance measurement, reporting automation, and dashboard development. Experience in operations, e-commerce, or service-oriented environments preferred. Education: Bachelor's Degree in an analytical field (math, economics, engineering, statistics, etc.), preferred Masters Degree is a plus Tools: You will have knowledge of key industry tools, SQL, Tableau and Excel. Specifically for this role that would include: Advanced SQL: You More ❯

and performance evaluation. - Present findings to technical and non-technical stakeholders. - Contribute to long-term pricing strategy alongside product and business teams. Skills & Experience Essential: - PhD in a mathematics, statistics or quantitative field (or Master's with strong pricing experience). - Excellent Python and Pandas skills. - Strong understanding of machine learning principles (excluding deep learning). - Ability to work independently More ❯