126 to 150 of 2,743 Statistics Jobs

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 ❯

SageMaker and modern cloud-based ML workflows History of publications, open source contributions, or community involvement in the data science field MSc or PhD in a quantitative field (e.g. statistics, computer science, mathematics). Forge Holiday Groups Company Benefits Annual STIP Company-wide Bonus Scheme offering up to an additional 10% of your salary through our performance-based bonus program More ❯

teams. Stay current with industry trends, especially in travel, hospitality, or marketplace dynamics. Experience and Qualifications: Bachelor's or Master's in a technical or quantitative field (e.g., Engineering, Statistics, Business Analytics, Mathematics, Computer Science, or similar). Strong SQL skills are essential - you should be comfortable writing complex queries and working with large-scale data. Familiar with Tableau (or More ❯

creativity, and a willingness to challenge the status quo. You will be responsible to build and productionize Machine Learning models across asset classes, apply advanced techniques in Machine Learning, statistics, and applied mathematics using Python (PyTorch or similar) and work hands-on with cloud platforms like AWS SageMaker to scale solutions fast. Essential Skills: Master's degree in a Science More ❯

Proven ability in Optimizing complex SQL queries. - Experience working directly with business stakeholders to translate between data and business needs PREFERRED QUALIFICATIONS - Master's degree in BI, Finance, Engineering, Statistics, Computer Science, Mathematics, Finance or related field required. - Experience in designing and delivering cross functional custom reporting solutions. - Proven ability in implementing BI engineering best practices (e.g. analytical rigor, code 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 ❯

Skills Requirements Ability to build effective, insightful, and interactive dashboards in Tableau or PowerBI Ability to use core analytics methods in developing solutions (one or more of the following) Statistics (t-tests, ANOVA) & design of experiments Segmentation/clustering techniques Time series analysis Familiarity with a broad base of analytics tools (one or more of the following): Data Management: SQL More ❯

on value creation over analysis for its own sake. Demonstrated leadership experience, either through line management or team/project leadership. A degree in a numerate discipline (e.g., Maths, Statistics, Computer Science, Engineering). Why Join Asda? We are a values-led organisation. As such we, encourage everyone to be open and honest. We work creatively and collaboratively, valuing everyone More ❯

of various initiatives and identifying untapped opportunities. We're excited if you have: Extensive experience in data science and analytics, with a strong foundation in a quantitative field (e.g., Statistics, Data Science, Mathematics, Economics, Engineering, or Computer Science). A proven track record in consumer products, digital media, or entertainment industries. Proficiency in SQL, SAS, R, Python, or other programming More ❯

an inclusive and diverse work environment where every team member feels valued, respected, and empowered. What we're looking for: Education: Master's degree in Computer Science, Electrical Engineering, Statistics, Mathematics, or a related field. A PhD is a plus. Principal Engineer: 6+ years of experience in anomaly detection, machine learning, or related technical fields. Domain Expertise: Prior experience in More ❯

an inclusive and diverse work environment where every team member feels valued, respected, and empowered. What we're looking for: Education: Master's degree in Computer Science, Electrical Engineering, Statistics, Mathematics, or a related field. A PhD is a plus. Principal Engineer: 6+ years of experience in anomaly detection, machine learning, or related technical fields. Domain Expertise: Prior experience in More ❯

methodologies in data science and data engineering, and sharing this knowledge with the team. We'd love it if you also had: • A Degree in Data Science, Computer Science, Statistics, or a related quantitative discipline. • Experience in the music or entertainment industry is beneficial but not essential. About us: As the home to 10K Projects, Asylum, Atlantic Music Group, East More ❯

sources to be incorporated Share findings and best practices for your business unit with analysts in other business units Job requirements Bachelor's degree or higher in a quantitive (statistics, mathematics, physics, engineering, computer science, etc) or financial discipline. Strong analytical skills Experience in business intelligence, product analytics, marketing KPIs, or web analytics at least 5 years of relevant working More ❯

Graduate Data Analyst - Mathematics, Operational Research, Statistics or Econometrics Location: Full time office-based, The Strand, London Reference: J12974 Applicants must have full UK working rights - unfortunately, post-study work visas cannot be accepted. Are you a numerically gifted graduate looking to kick-start a career in data analytics? We're working with a respected client based in Central London … grow their analytical team with a bright and motivated Graduate Data Analyst. If you hold a degree (or master's) in a quantitative discipline such as Mathematics, Operational Research, Statistics, or Econometrics, and are passionate about working with data to deliver real-world insights, this could be your ideal first step. About the Role This is a full-time, office … in well-structured, client-ready Word documents What We're Looking For • A minimum 2:1 degree in a numerical/applied subject such as MORSE, Mathematics, Operational Research, Statistics, or Econometrics • A relevant Master's degree is a strong advantage • Advanced Microsoft Excel skills (essential) • Problem solving skills • Experience managing large datasets using tools such as SAS, Stata, R More ❯

If you know the difference between correlation & causation, have an excellent understanding of classical probability & statistics as well as state of the art ML algorithms and want to drive real business impact at one of the most recognisable brands globally, this job is for you! Aufgaben In this role, you'll contribute to global Data Science projects to enable stakeholders … to make better data-driven decisions. As a Statistics & ML Expert you'll be responsible for the methodological aspects of Data Science projects in fields like statistical forecasting, network optimisation, quality assurance, sports analytics, and others. You know how and you know why specific Data Science methods & algorithms should be applied and you know how to develop new ones. Always … this role: 4+ years of experience in Data Science. Previous experience working as a Machine Learning Expert is a plus Masters or Doctorate in relevant field, for instance: Mathematics, Statistics, Science (including data, behavioural, social, econ, ) Good command of English, both spoken and written. German a plus Programming: know at least one of R, Python, SQL with the ability and More ❯

If you know the difference between correlation & causation, have an excellent understanding of classical probability & statistics as well as state of the art ML algorithms and want to drive real business impact at one of the most recognisable brands globally, this job is for you! Aufgaben In this role, you'll contribute to global Data Science projects to enable stakeholders … to make better data-driven decisions. As a Statistics & ML Expert you'll be responsible for the methodological aspects of Data Science projects in fields like statistical forecasting, network optimisation, quality assurance, sports analytics, and others. You know how and you know why specific Data Science methods & algorithms should be applied and you know how to develop new ones. Always … this role: 4+ years of experience in Data Science. Previous experience working as a Machine Learning Expert is a plus Masters or Doctorate in relevant field, for instance: Mathematics, Statistics, Science (including data, behavioural, social, econ, ) Good command of English, both spoken and written. German a plus Programming: know at least one of R, Python, SQL with the ability and More ❯

documentation to follow internal procedures and standards. Your Skills and Experience ESSENTIAL At least a BSc or higher university degree in a data science related field (e.g. machine learning, statistics, mathematics) Proficiency in statistical data modelling techniques. Proficiency with Python, including experience with statistics/machine learning packages such as scikit-learn, pandas, numpy, etc. Good SQL/data manipulation … Experience with working with raw datasets and perform data wrangling pre-modelling. Analytical and problem-solving skills. DESIRABLE MSc or PhD in Data Science related field (e.g. Machine Learning, Statistics, Mathematics) Experience within a regulated financial services organization. Ability to present sophisticated findings clearly, adapting the level of detail to the audience. Experience in supporting model deployment and working with More ❯

documentation to follow internal procedures and standards. Your Skills and Experience ESSENTIAL At least a BSc or higher university degree in a data science related field (e.g. machine learning, statistics, mathematics) Proficiency in statistical data modelling techniques. Proficiency with Python, including experience with statistics/machine learning packages such as scikit-learn, pandas, numpy, etc. Good SQL/data manipulation … Experience with working with raw datasets and perform data wrangling pre-modelling. Analytical and problem-solving skills. DESIRABLE MSc or PhD in Data Science related field (e.g. Machine Learning, Statistics, Mathematics) Experience within a regulated financial services organization. Ability to present sophisticated findings clearly, adapting the level of detail to the audience. Experience in supporting model deployment and working with More ❯

documentation to follow internal procedures and standards. Your Skills and Experience ESSENTIAL At least a BSc or higher university degree in a data science related field (e.g. machine learning, statistics, mathematics) Proficiency in statistical data modelling techniques. Proficiency with Python, including experience with statistics/machine learning packages such as scikit-learn, pandas, numpy, etc. Good SQL/data manipulation … Experience with working with raw datasets and perform data wrangling pre-modelling. Analytical and problem-solving skills. DESIRABLE MSc or PhD in Data Science related field (e.g. Machine Learning, Statistics, Mathematics) Experience within a regulated financial services organization. Ability to present sophisticated findings clearly, adapting the level of detail to the audience. Experience in supporting model deployment and working with More ❯

and analysis skills entailed in the role. Experience working as a Data Scientist, ideally on client-facing analysis or products. Degree (or equivalent) in a quantitative field such as Statistics, Applied Mathematics, Physics, Engineering, Computer Science, or Economics. Proficient using Python and/or R and SQL for the download, cleansing and analysis of data. Proficient in coding and creating … insightful analysis and charts communicated using Python or R notebooks. Knowledgeable on quantitative analysis techniques, e.g., descriptive and inferential statistics, parametric and non-parametric statistics, regression, clustering and pattern recognition. Competence in Data Science reproducibility best practices. Nice To Haves Ideally experience in continuous integration and the full Data Science pipeline. Ideally experience with basic software tools and environments like More ❯

want to make an impact on a global scale, please apply! BASIC QUALIFICATIONS - Master's degree in a highly quantitative field (Industrial Engineering, Operations Research, Machine Learning, Applied Mathematics, Statistics) or equivalent experience. - 2+ years of experience developing quantitative models to solve complex problems. - Expertise in at least one of the following areas: Discrete Event Simulation, Linear Programming, Natural Language … C++, Python or any other scripting languages - Experienced in handling large data sets using SQL/Python in a business environment. PREFERRED QUALIFICATIONS - PhD/Master's degree in Statistics, Industrial Engineering/Operations Research, Mathematics or Statistics or related quantitative field with 5+ years of work experience. - Experienced in writing academic-styled papers for presenting both the methodologies used More ❯

based data platforms and infrastructure. Familiarity with insurance data, risk analysis, or financial services analytics (preferred but not essential). Excellent problem-solving and communication skills. Strong understanding of statistics and experience of applying quantitative skills and analytical methods, such as classifiers, regression and decision trees. Experience of programming, such as with C#. Solid understanding of ETL processes and T … SQL. Bachelor's degree in Statistics, Mathematics or equivalent quantitative discipline. Good coding practices in general, familiarity with testing, clean code writing, reading others code. General technical mindset, work outside Python such as setting up your own working environment, sometimes do infrastructure work, troubleshoot. Benefits Davies Incentive Plan 25 days holiday per year which increases with level of service (opportunity More ❯

of products and categories, optimising across space and range and increasing automation of category decision making. What we expect from you PhD in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Applied Statistics, Physics, Engineering, Biology or related field. Experience with machine learning techniques such as regularised regression, clustering or tree-based ensembles, and the ability to implement them through libraries. More ❯

degree with 2+ years data analytics work experience using statistical packages or a PhD in a quantitative field. Programming: working knowledge of SQL and Python (or R) is required. Statistics: must have strong knowledge and experience in experimental design, hypothesis testing, and various statistical analysis such as regression or time-series analysis. Comfortable balancing multiple projects simultaneously and effectively prioritizing … mindset of helping a customer-centric business. Know when to apply statistical measurement vs 80-20 analysis for business growth. Preferred: Master's degree in a quantitative field (e.g., Statistics, Computer Science, Engineering, Mathematics, Data Sciences). Professional experience in marketing science, ideally within the ad-tech sector. Ability to manage multiple projects at the same time while paying attention … to detail. Distinctive problem-solving skills, good at articulating product questions, pulling data from large datasets and using statistics to arrive at a recommendation. Proven ability to own projects end-to-end, even when you have to get creative: you do more than completing delegated tasks. Demonstrated leadership and self-direction. Willingness to both teach others and learn new techniques. More ❯

comparable environments Practical experience in solving complex problems in an applied environment, and proficiency in critical thinking. Qualifications We Prefer Degree in Data Science, Machine Learning, Computer Science, Engineering, Statistics, or equivalent fields Strong mathematical background (linear algebra, calculus, probability & statistics) Experience with machine learning model training and analysis through open-source frameworks (Pytorch, Tensorflow, Sklearn) Experience crafting, conducting, analyzing More ❯