1 to 25 of 26 Statistics Jobs in Lancashire

We're excited if you have 3+ years of work experience with a bachelor's degree or master's degree in quantitative field (e.g., Statistics, Business Analytics, Data Science, Mathematics, Economics, Engineering or Computer Science) 3+ years of experience in consumer product, digital media or entertainment industries Expertise in SQL More ❯

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 More ❯

If you possess a combination of some of the following skills then, LETS TALK! Bachelors degree, PhD or Masters in Data Science, Computing, Mathematics, Statistics or related field. Previous commercial experience in Data Science. Proficiency in Python and strong command of SQL. Familiar with Git for version control. Knowledge of More ❯

If you possess a combination of some of the following skills then, LETS TALK! Bachelors degree, PhD or Masters in Data Science, Computing, Mathematics, Statistics or related field. Previous commercial experience in Data Science. Proficiency in Python and strong command of SQL. Familiar with Git for version control. Knowledge of More ❯

If you possess a combination of some of the following skills then, LETS TALK! Bachelors degree, PhD or Masters in Data Science, Computing, Mathematics, Statistics or related field. Previous commercial experience in Data Science. Proficiency in Python and strong command of SQL. Familiar with Git for version control. Knowledge of More ❯

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 More ❯

marketing analytics. A STEM or financial background. A good fit may have a BSc, MSc, or PhD in one of the following areas: mathematics, statistics, chemistry, physics, economics, or finance. Analytical thinker with an ability for identifying patterns and drawing meaningful insights from data. Should have the ability to use More ❯

language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics microsoft power bi java Equal Opportunity Employer At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. More ❯

in data science, with a track record of delivering strategic impact in an elite environment. Degree in a quantitative field (e.g. computer science, engineering, statistics, mathematics); or equivalent experience in data-intensive leadership roles. Proven ability to define and lead large-scale, strategic data initiatives aligned to business or sporting More ❯

working in a Finance firm, preferably Wealth Manager/Private Bank/Hedge Fund. Required Qualifications: Applicable Degree (e.g. Data Analytics, Business Intelligence, Finance, Statistics Relevant certifications (e.g. CBIP, CFA, Microsoft Data Analyst). 3 years experience in data analytics or business intelligence, preferably within a finance function. More ❯

to-water heat pumps and hot water systems A Master's degree or PhD in a quantitative field (like Data Science, Computer Science, or Statistics) is great - but equivalent experience is equally valued Why else you'll love it here: Wondering what the salary for this role is? Just ask More ❯

and articulate highly complex datasets and analysis concisely. Connect to your skills and professional experience Do you possess the following?: Bachelor's degree in Statistics, Mathematics, Economics, Finance, Business Analytics, Management Information Systems, a Technology-related field, or equivalent education or work-related experience. Experience in information security, in areas More ❯

models for correctness and performance Qualifications: Fluency in English (native or bilingual level) Detail-oriented Proficient in data science, arithmetic, algebra, geometry, calculus, probability, statistics, and inductive/deductive reasoning A current, in progress, or completed Masters and/or PhD is preferred but not required Note: Payment is made More ❯

models for correctness and performance Qualifications: Fluency in English (native or bilingual level) Detail-oriented Proficient in data science, arithmetic, algebra, geometry, calculus, probability, statistics, and inductive/deductive reasoning A current, in progress, or completed Masters and/or PhD is preferred but not required Note: Payment is made More ❯

models for correctness and performance Qualifications: Fluency in English (native or bilingual level) Detail-oriented Proficient in data science, arithmetic, algebra, geometry, calculus, probability, statistics, and inductive/deductive reasoning A current, in progress, or completed Masters and/or PhD is preferred but not required Note: Payment is made More ❯

by AI models for correctness and performance Qualifications: Fluency in English (native or bilingual level) Detail-oriented Proficient in arithmetic, algebra, geometry, calculus, probability, statistics, and inductive/deductive reasoning A current, in progress, or completed Masters and/or PhD is preferred but not required Note: Payment is made More ❯

AI models for correctness and performance Qualifications: Fluency in English (native or bilingual level) Detail-oriented Proficient in mathematics, arithmetic, algebra, geometry, calculus, probability, statistics, and inductive/deductive reasoning A current, in progress, or completed Masters and/or PhD is preferred but not required Note: Payment is made More ❯

AI models for correctness and performance Qualifications: Fluency in English (native or bilingual level) Detail-oriented Proficient in mathematics, arithmetic, algebra, geometry, calculus, probability, statistics, and inductive/deductive reasoning A current, in progress, or completed Masters and/or PhD is preferred but not required Note: Payment is made More ❯

and performance br Qualifications: br Fluency in English (native or bilingual level) br Detail-oriented br Proficient in mathematics, arithmetic, algebra, geometry, calculus, probability, statistics, and inductive/deductive reasoning br A current, in progress, or completed Masters and/or PhD is preferred but not required br Note: Payment More ❯

produced by AI models for correctness and performance br Qualifications: br Fluency in English (native or bilingual level) br Detail-oriented br Proficient in statistics, arithmetic, algebra, geometry, calculus, probability, and inductive/deductive reasoning br A completed or in-progress Masters and/or PhD is preferred but not More ❯

outputs * Evaluate the quality produced by AI models for correctness and performance Qualifications: * Fluency in English (native or bilingual level) * Detail-oriented * Proficient in statistics, arithmetic, algebra, geometry, calculus, probability, and inductive/deductive reasoning * A completed or in-progress Masters and/or PhD is preferred but not required More ❯

similar Experience of training on a range of Excel, SQL, Power BI and RStudio courses A good understanding of Big Data, machine learning and statistics from an analytics perspective. Experience of supporting learners both face-to-face and remote. Full, clean UK driving licence and access to own vehicle. Must More ❯

a machine learning engineer to build efficient, data-driven AI systems that advance our predictive automation capabilities. The candidate should be highly skilled in statistics and programming, with the ability to confidently assess, analyze, and organize large amounts of data. The candidate should also be able to execute tests and More ❯

database architectures Highly proficient in TSQL including Stored Procedures, Views, Triggers, and UDF's Have in-depth knowledge of SQL Internal Architecture (Metadata, Indexes, Statistics etc.) Skilful in performance tuning (using all available tools/techniques), refactoring existing SQL, monitoring high availability clusters and patching live systems Experienced in SQL More ❯

specialist advice on toolset usage to the userbase Infrastructure Monitoring Supporting Licence Renewal, Hosting and Utilisation Monitoring activities Reporting on toolset data, and service statistics Ongoing Professional Development on Aerospace toolsets Your skills and experiences: Essential: Understanding of IT Service Delivery, and a very proficient IT professional Desirable: Siemens PLM More ❯