1 to 25 of 59 Statistics Jobs in the North West

Comfortable managing multiple projects and priorities with a flexible, can-do attitude. Qualifications Degree-level education in a relevant field (e.g., Data Science, Mathematics, Statistics, Computer Science, Social Sciences, Economics) or equivalent hands-on experience in a senior data or analytical role. Commitment to professional development and staying current with ...

standards, tools, and best practices. What do you need to succeed? Technical Skills Advanced degree (Master's or PhD) in Computer Science, Data Science, Statistics, or a related field. 10+ years applying end-to-end machine learning and statistical modeling solutions to real-world problems, ideally in SaaS or data ...

standards, tools, and best practices. What do you need to succeed? Technical Skills Advanced degree (Master's or PhD) in Computer Science, Data Science, Statistics, or a related field. 10+ years applying end-to-end machine learning and statistical modeling solutions to real-world problems, ideally in SaaS or data ...

standards, tools, and best practices. What do you need to succeed? Technical Skills Advanced degree (Master's or PhD) in Computer Science, Data Science, Statistics, or a related field. 10+ years applying end-to-end machine learning and statistical modeling solutions to real-world problems, ideally in SaaS or data ...

standards, tools, and best practices. What do you need to succeed? Technical Skills Advanced degree (Master's or PhD) in Computer Science, Data Science, Statistics, or a related field. 10+ years applying end-to-end machine learning and statistical modeling solutions to real-world problems, ideally in SaaS or data ...

standards, tools, and best practices. What do you need to succeed? Technical Skills Advanced degree (Master's or PhD) in Computer Science, Data Science, Statistics, or a related field. 10+ years applying end-to-end machine learning and statistical modeling solutions to real-world problems, ideally in SaaS or data ...

standards, tools, and best practices. What do you need to succeed? Technical Skills Advanced degree (Master's or PhD) in Computer Science, Data Science, Statistics, or a related field. 10+ years applying end-to-end machine learning and statistical modeling solutions to real-world problems, ideally in SaaS or data ...

years of experience in data analytics, preferably in a consulting or advisory context. University degree 2.1 or higher (or equivalent) in Computer Science, Mathematics, Statistics, or a related field. Strong analytical and problem-solving skills, with a keen attention to detail. Proficiency in BI tools such as Power BI, Qlik ...

years of experience in data analytics, preferably in a consulting or advisory context. University degree 2.1 or higher (or equivalent) in Computer Science, Mathematics, Statistics, or a related field. Strong analytical and problem-solving skills, with a keen attention to detail. Proficiency in BI tools such as Power BI, Qlik ...

enhancement of data analytics skills, staying abreast of the latest industry tools and practices. Desired Qualifications: Bachelor’s degree in Computer Science, Data Science, Statistics, or a related technical discipline. Solid foundation in data analysis, with a keen interest in specializing within the tech sector. Proficiency in Excel; proficiency ...

Computer Science, AI, Data Science, Engineering, Mathematics, Physics, or a similar discipline A strong interest in AI/ML, data science, or applied statistics Solid programming skills in Python (or similar languages) Familiarity with data science or AI libraries such as Pandas, NumPy, TensorFlow, PyTorch, or Scikit-learn Strong problem ...

practices and evaluating alternative and complementary ML and foundational models suitable for given business contexts. Bachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science. Knowledge of data modelling principles, statistical analysis methodologies, and demonstrated ability to extract meaningful ...

practices and evaluating alternative and complementary ML and foundational models suitable for given business contexts. Bachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science. Knowledge of data modelling principles, statistical analysis methodologies, and demonstrated ability to extract meaningful ...

practices and evaluating alternative and complementary ML and foundational models suitable for given business contexts. Bachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science. Knowledge of data modelling principles, statistical analysis methodologies, and demonstrated ability to extract meaningful ...

experiment and learn Presenting findings in plain language and helping non specialists act on the insights What we are looking for Strong grounding in statistics and or Machine Learning, plus solid Python Confident SQL skills and experience with real world, messy datasets Experience of the ML lifecycle, ideally including production ...

experiment and learn Presenting findings in plain language and helping non specialists act on the insights What we are looking for Strong grounding in statistics and or Machine Learning, plus solid Python Confident SQL skills and experience with real world, messy datasets Experience of the ML lifecycle, ideally including production ...

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 Master's and/or PhD is preferred but not required Notes Payment is made ...

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 Master's and/or PhD is preferred but not required Notes Payment is made ...

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 Master's and/or PhD is preferred but not required Notes Payment is made ...

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 Master's and/or PhD is preferred but not required Notes Payment is made ...

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 Master's and/or PhD is preferred but not required Notes Payment is made ...

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 Master's and/or PhD is preferred but not required Notes Payment is made ...

environment and be responsive and available during high intensity moments Bachelor's or Master's degree degree in a quantitatively rigorous discipline like engineering, statistics, math, or economics desired Knowledge of the fundamentals of payment processing and an understanding of industry risk trends, including familiarity with risk strategy development. ...

environment and be responsive and available during high intensity moments Bachelor's or Master's degree degree in a quantitatively rigorous discipline like engineering, statistics, math, or economics desired Knowledge of the fundamentals of payment processing and an understanding of industry risk trends, including familiarity with risk strategy development. ...

environment and be responsive and available during high intensity moments Bachelor's or Master's degree degree in a quantitatively rigorous discipline like engineering, statistics, math, or economics desired Knowledge of the fundamentals of payment processing and an understanding of industry risk trends, including familiarity with risk strategy development. ...