76 to 100 of 1,324 Statistics Jobs

reporting processes and improve data visualization for stakeholders. Translate complex data into actionable insights to support decision-making. Requirements: Education & Experience: Bachelor’s degree in data science, Computer Science, Statistics, Mathematics, or a related field. 2+ years of experience in a data analyst role, preferably within secure government programs Strong understanding of RBAC and ABAC principles and their application in More ❯

generative AI, statistical analysis, prescriptive and predictive analysis, and machine learning implementation projects. We are looking for a problem solver with strong analytical skills and a solid understanding of statistics & machine learning algorithms as well as a practical understanding of collecting, assembling, cleaning and setting up disparate data from enterprise systems. Key Job Responsibilities Ability to understand a business problem 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 ❯

be possible without the tools and expertise we use to understand customer behaviour. The Senior Business Intelligence Engineer occupies a unique role at the intersection of technology, marketing, finance, statistics, data mining, and social science. We provide key insights into customer behaviour to guide business strategy. If you are motivated to serve the needs of our customers, you will also 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 Stock options in a high-growth startup Private Health insurance Pension Apply for this job indicates a required field First Name Last Name More ❯

C/C++, Python, Java, or Perl. Experience with neural deep learning methods and machine learning. Master's degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics, or equivalent quantitative field. PhD in a related field preferred. 15+ years of relevant, broad research experience. Deep expertise in Machine Learning and proficiency in programming. Core competency in More ❯

a quantitative field (e.g., CS, Math, ML, Stats, Operations Research). Proficiency in Python, R, or similar scripting languages; experience with SQL, MySQL, and databases. Expertise in machine learning, statistics, and optimization, including linear programming. Experience with statistical measures such as hypothesis testing, confidence intervals, and error analysis. Excellent communication skills for technical and non-technical audiences. Preferred additional skills 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 ❯

and social media messaging. Create proof of concepts, product demos, respond to RFIs/RFPs, and prepare sales proposals. What We're Seeking MSc in computer science, engineering, physics, statistics, mathematics, operations research, or natural sciences, with hands-on data science experience including AI/Gen AI and machine learning. Experience analyzing large data sets, data cleaning, and statistical analysis. More ❯

team structures, collaborating with contractors and external partners. Qualifications: A degree in a quantitative field (STEM Bachelor's/Master's) with strong foundations in Linear Algebra, Calculus, and Statistics, plus 2+ years as a Data Scientist. Alternatively, substantial industry experience combined with recognised certifications in Data Science demonstrating hands-on implementation. Why Join Us? This is more than just 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 ❯

scale teams. Strong business acumen with the ability to present complex data insights to non-technical stakeholders clearly and persuasively. Bachelor’s degree in a quantitative field (e.g., Mathematics, Statistics, Economics, Computer Science). Advanced degrees (e.g., MBA, Master’s, PhD) are a plus. What We Offer Be part of a multicultural team that is bringing advertising to the next 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 ❯

scale teams. Strong business acumen with the ability to present complex data insights to non-technical stakeholders clearly and persuasively. Bachelor’s degree in a quantitative field (e.g., Mathematics, Statistics, Economics, Computer Science). Advanced degrees (e.g., MBA, Master’s, PhD) are a plus. Any additional information you require for this job can be found in the below text Make 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 ❯

actionable insights while making informed decisions. Supports Ad Hoc analytics requests from marketing stakeholders and builds out reports as needed. Qualifications: Bachelor's degree in Computer Science, MIS, Mathematics, Statistics, Business, Marketing or related field. At least 4-5 years of professional experience. At least 4 years of experience working in marketing analytics related field. At least 3 years of More ❯

their work from start to finish Nice-to-haves Experience in acquiring services or the payments industry Bachelor's or Master's degree in a quantitative discipline (e.g. Mathematics, Statistics, Computer Science, Economics) Direct experience with problems such as AML scenario tuning, fraud rule optimisation, or detection intelligence design Familiarity with regulatory or compliance-driven analytics environments Fincrime certifications such More ❯