101 to 125 of 2,725 Statistics Jobs

and non-technical audiences. • A proactive, detail-oriented mindset focused on data accuracy, problem-solving, and process improvement. • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field. • Relevant certifications in Power BI, SQL Server, or data analytics tools. • Familiarity with government reporting processes or healthcare data analytics a plus. • This position does require More ❯

analysis based on requests from the Sales, CSM or Contents team. Present results of various data analysis. Experience We Are Looking For Master’s degree or above in mathematics, statistics, or computer science. 3+ years applied experience in business intelligence, data mining, analytics, or statistical modeling in technology or mobile industries OR 2+ years applied experience in data science in More ❯

Intelligence (Data modelling, data warehousing, Dashboarding) SQL & Python AWS (S3, Lambda, Glue, Redshift) The Senior Business Intelligence Engineer occupies a unique role at the intersection of technology, marketing, finance, statistics, data mining, and social science. We provide the key insight into customer behavior necessary to guide the evolution of business strategy. If you are motivated to serve the needs of More ❯

of whether they meet all qualifications, to apply. While the following qualifications are relevant to our work, they are not strict requirements: BS or MS degree in Data Science, Statistics, Computer Science, or a related field. Proven experience in machine learning, statistical modeling (5+ years) Proficiency in programming languages such as Python or R. Experience with SQL and working with More ❯

expert on Machine Learning and AI for your project team, enabling strong project planning and team performance Your profile: Degree in 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 or in consulting Experience with Machine Learning and statistical modelling techniques More ❯

tool (Metabase, Looker, Tableau, Power BI) Experience with Python or R for operational data analysis Deep familiarity with common business operations metrics Bachelor's degree in a quantitative field (Statistics, Economics, Computer Science, Mathematics) or equivalent experience Benefits Competitive base salary Stock options in a high-growth startup Private Health insurance Pension Seniority level Seniority level Not Applicable Employment type More ❯

analytical and problem-solving skills, with a keen eye for detail. Effective written and verbal communication skills to share insights with diverse audiences. A degree in Data Science, Computing, Statistics, Economics, or a related field is preferred. This is a great opportunity to grow your analytical skills and gain hands-on experience in a data-driven environment. If you're More ❯

with, and present results to, colleagues and stakeholders Present information using data visualization techniques Qualifications/Requirements: A master’s degree (or equivalent) in a numerate discipline such as Statistics, Machine Learning, Computer Science, Engineering, or Physics. A doctorate is a plus but not required Mid-level professional with 2-4 years of ML/AI experience, typically at an More ❯

of scientists or machine learning engineers management experience - 5+ years of applying statistical models for large-scale application and building automated analytical systems experience - PhD in computer science, mathematics, statistics, machine learning or equivalent quantitative field - Knowledge of Python or R or other scripting language PREFERRED QUALIFICATIONS - Experience in a least one area of Machine Learning (NLP, Regression, Classification, Clustering More ❯

This involves designing hypotheses and tests to allow for measurable results, delivering forecasts, measuring the outcome and relaying recommendations to relevant stakeholders. Your Talent: Degree in Maths, Computer Science, Statistics or a related field. Experience with analysing large data sets, identifying insights, trends and opportunities in a retail company. A natural problem solver with the ability to dissect complex business More ❯

mathematical foundations of Machine Learning algorithms Proficient in Python Have a deep knowledge of a sufficiently broad area of technical specialism (e.g. Time Series, Combinatorial Optimisation, Reinforcement Learning, Bayesian Statistics, NLP etc.) Good knowledge in mining large & complex data sets using SQL and Spark. Preferred Will be curious, enjoy problem solving and have empathy for the problems you are challenged More ❯

a growing organisation Familiarity with AWS SageMaker or similar cloud-based ML tools Published work, open-source contributions or community involvement MSc or PhD in a quantitative field (e.g. statistics, computer science, mathematics) What We Can Offer You: Annual bonus scheme – up to 10% of salary ️ 33 days holiday (+ up to 5 extra days with long service) Birthday day More ❯

Excellent communication and interpersonal skills. Ability to translate technical findings into clear and actionable recommendations. Not necessary but would be desirable to have: Master's degree in Data Science, Statistics, or a related field. Experience in Virtual card payments and rebate structures. Knowledge of machine learning and statistical modelling techniques. Experience with data visualisation tools (e.g., Looker, Power BI, Google More ❯

and question as needed. Comfortable handling ambiguous concepts and breaking down complex problems into manageable pieces. Ability to apply critical thinking and creative problem-solving skills. Qualifications Degree in statistics, mathematics, computer science, engineering or similar quantitative fields; or significant experience in advanced data analytics Experience Experience in advanced analytics roles, a significant portion of which should be in the More ❯

stress testing or economic capital modelling; propensity modelling; or a combination thereof. A bachelor's degree in a quantitative analytical discipline (2.1 or higher), e.g. mathematics, applied mathematics, physics, statistics, engineering, econometrics. (Confirmation will be sought if successful for the role.); Ideally have advanced level of SAS or SQL programming - an equivalent level in an alternate programming language would be More ❯

technologies. • Troubleshoot and debug issues across the software stack, including ML model performance problems. 3. ROLE REQUIREMENTS, QUALIFICATIONS AND EXPERIENCE • MSc/PhD degree in Computer Science, Engineering, Mathematics, Statistics, or a related technical field, or equivalent practical experience. • Professional software development experience using languages such as Python, C, Julia, C++, or similar. • Strong proficiency in Python and its scientific More ❯

of AI concepts, including supervised and unsupervised learning. Knowledge of cloud computing platforms (e.g., AWS, GCP, Azure) Education and Knowledge Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related quantitative field Profile and Skills Comfortable in fast-paced, entrepreneurial environment Strong communication and teamwork abilities. Ability to deliver individually and as well as a part More ❯

like Metabase, Tableau, Power BI, or similar for creating insightful dashboards. Machine Learning: Familiarity with machine learning concepts and their application in fraud detection. Statistical Analysis: Strong foundation in statistics, including experience with hypothesis testing, regression analysis, and probability theory. Fraud and Risk Management Expertise: In-depth understanding of card fraud typologies and techniques, including phishing, card-not-present (CNP More ❯

business challenges, goals, and requirements. Skills, Knowledge and Expertise Education & Qualifications: Bachelor's degree in Computer Science, Software Engineering, Maths, Physics or related field. Degree in Data Science, AI, Statistics desirable but not essential. Experience: 2+ years' commercial experience (including internships or placement year) developing Data or AI solutions on Azure. Hands-on experience building prototypes, demos or PoCs that More ❯

level of effort, favoring iterative delivery that tackle the objective, not the ask Experience and qualifications: You have a Bachelor's, Master's or PhD degree in Mathematics, Science, Statistics or a related Technical field; or equivalent related professional experience in a role focused on analytics or data science (e.g. driving significant and sustained change and performance improvement from data More ❯

GenAI research and operate with a continuous-improvement mindset. Required qualifications, capabilities, and skills: Advanced degree (MS, PhD) in a quantitative field (e.g., Data Science, Computer Science, Applied Mathematics, Statistics, Econometrics) or equivalent experience Extensive relevant experience in data analysis and AI/ML domain In-depth expertise and extensive experience with ML projects, both supervised and unsupervised Strong programming More ❯

finance cases. Mentor junior team members, conducting advanced training sessions and develop sophisticated tools to enhance how economists works with data. Master’s degree in computer science, applied mathematics, statistics, machine learning, economics, or operations research 4+ years of professional data science experience, with a proven track record of translating business problems into data science solutions Proficiency and knowledge of More ❯

and Data Science community to drive innovat ions based on your work Essential q ualifications: Bachelor's or master's degree in D ata S cience , Computer Science, Engineering, Statistics, or a related quantitative field Hands-on (academic/commercial) e xperience in implementing Reinforcement Learning (or a related displicine ) . Please note: We use the term R einforcement L More ❯

Excellent communication and interpersonal skills. Ability to translate technical findings into clear and actionable recommendations. Not necessary but would be desirable to have: Master's degree in Data Science, Statistics, or a related field. Experience in Virtual card payments and rebate structures. Knowledge of machine learning and statistical modelling techniques. Experience with data visualisation tools (e.g., Looker, Power BI, Google More ❯

CI etc. Ability to work 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 scientific publishing, research, or a More ❯