176 to 200 of 2,710 Statistics Jobs

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 ❯

management, multitasking and prioritisation skills Excellent verbal and written communication skills Optional Requirements: It will also be advantageous if you have: Bachelor's degree in Data Analysis, Data Science, Statistics, Mathematics, Finance or Business Intelligence, or equivalent experience. ADDITIONAL NOTES: *** Data Privacy Please note that by applying for this opportunity, you are agreeing to our data privacy policy, and understand 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 ❯

proactive approach to identifying improvement opportunities Ability to work effectively with guidance from senior data science team members Skills and Qualifications Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Actuarial Science, or related discipline) 3-6+ years of experience in underwriting, quantitative analysis, or risk modeling in the insurance industry Knowledge of underwriting, pricing, reserving More ❯

new capabilities with significant business impact Performing exploratory data analysis and model validation What we expect from you Master’s degree/PhD in Computer Science, Machine Learning, Applied Statistics, Physics, Engineering or related field Strong mathematical and statistical skills Experience with Python, Spark and SQL Experience implementing and validating a range of machine learning and optimization techniques Effective scientific More ❯

Familiarity with AI model monitoring, interpretability, and ethical AI. Knowledge of operational resilience and compliance frameworks such as DORA Qualifications & Experience: Bachelor’s degree in Information Systems, Computer Science, Statistics, Mathematics, Actuarial Science, or a related field. Qlik Sense or Qlik Cloud certification is required, along with proven experience in both backend and frontend Qlik Sense or Qlik Cloud development. More ❯

positive, high-performance team cultures Demonstrated success in setting clear strategic goals and delivering results Qualifications What You'll Need Degree educated in a relevant field (e.g., Computer Science, Statistics, Engineering, Mathematics) A proven track record in senior data science or AI leadership roles Excellent communication and stakeholder management skills Experience working in large, data-rich organisations (preferably within technology 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 ❯

support the wider team and Data Science community to foster innovation based on your work. Essential Qualifications: Bachelor's or master's degree in Data Science, Computer Science, Engineering, Statistics, or related quantitative field. Hands-on (academic or commercial) experience in implementing Reinforcement Learning or related disciplines. Completing a module or thesis on RL during a degree is not considered More ❯

platforms like Apache Solr or Elasticsearch is a plus. Significant industry experience or a relevant academic background (such as an MSc or PhD in Computer Science, Machine Learning, Mathematics, Statistics, or Engineering). We value practical ability and a demonstrated track record of delivering impactful results over formal academic qualifications. Proficiency in enterprise-grade software engineering practices and principles, including 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 ❯

a range of complex applications and components while working alongside super-smart colleagues challenging and rewriting the rules, not just following them. What We Expect From You 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 ❯

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 ❯

Write specifications for required data models for the data engineering team to build. Required Skills, Knowledge and Expertise Bachelor's degree in a relevant field (e.g. Computer Science, Mathematics, Statistics, or similar). Proven experience as a BI Analyst or similar role, preferably within the gaming industry. Strong proficiency in Looker (preferred) or similar business intelligence tools. Experience with event 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 ❯

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 ❯

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 ❯

new capabilities with significant business impact Performing exploratory data analysis and model validation What we expect from you Master’s degree/PhD in Computer Science, Machine Learning, Applied Statistics, Physics, Engineering or related field Strong mathematical and statistical skills Experience with Python. Spark and SQL Experience implementing and validating a range of machine learning and optimization techniques Effective scientific 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 ❯

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 ❯

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 ❯

platforms like Apache Solr or Elasticsearch is a plus. Significant industry experience or a relevant academic background (such as an MSc or PhD in Computer Science, Machine Learning, Mathematics, Statistics, or Engineering). We value practical ability and a demonstrated track record of delivering impactful results over formal academic qualifications. Proficiency in enterprise-grade software engineering practices and principles, including More ❯