15 of 15 Remote Statistics Jobs in the North West

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 ...

curious, logical, and enjoy problem-solving, you'll fit. Skills That Help (But Aren't Deal-Breakers) Python or R Basic statistics or machine learning concepts SQL or working with datasets Any data science or analytics projects If you don't tick every box, apply anyway. Training is part ...

curious, logical, and enjoy problem-solving, you'll fit. Skills That Help (But Aren't Deal-Breakers) Python or R Basic statistics or machine learning concepts SQL or working with datasets Any data science or analytics projects If you don't tick every box, apply anyway. Training is part ...

curious, logical, and enjoy problem-solving, you'll fit. Skills That Help (But Aren't Deal-Breakers) Python or R Basic statistics or machine learning concepts SQL or working with datasets Any data science or analytics projects If you don't tick every box, apply anyway. Training is part ...

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 ...

Familiarity with LLM evaluation frameworks such as RAGAS or TruLens. Experience fine-tuning large models or working with reinforcement learning techniques. Background in mathematics, statistics, or theoretical computer science. Understanding of data governance, bias mitigation, or model interpretability. Why Join Work on real, production-grade GenAI systems with clear business ...

Familiarity with LLM evaluation frameworks such as RAGAS or TruLens. Experience fine-tuning large models or working with reinforcement learning techniques. Background in mathematics, statistics, or theoretical computer science. Understanding of data governance, bias mitigation, or model interpretability. Why Join Work on real, production-grade GenAI systems with clear business ...

Familiarity with LLM evaluation frameworks such as RAGAS or TruLens. Experience fine-tuning large models or working with reinforcement learning techniques. Background in mathematics, statistics, or theoretical computer science. Understanding of data governance, bias mitigation, or model interpretability. Why Join Work on real, production-grade GenAI systems with clear business ...

Familiarity with LLM evaluation frameworks such as RAGAS or TruLens. Experience fine-tuning large models or working with reinforcement learning techniques. Background in mathematics, statistics, or theoretical computer science. Understanding of data governance, bias mitigation, or model interpretability. Why Join Work on real, production-grade GenAI systems with clear business ...

online Data Science training sessions (3 sessions/week, 1–1.5 hours per session) Deliver practical, industry-aligned training on: Python for Data Science Statistics & Probability Exploratory Data Analysis (EDA) Data Visualization (Matplotlib, Seaborn) Machine Learning (Supervised & Unsupervised) Model Evaluation & Optimization Guide learners through hands-on projects and case studies … Skills & Qualifications 4+ years of experience in Data Science/Analytics/ML Strong proficiency in Python, Pandas, NumPy, Scikit-learn Solid understanding of statistics, ML algorithms, and data workflows Prior experience in training, mentoring, or teaching (preferred) Excellent communication and presentation skills Ability to explain complex concepts ...

online Data Science training sessions (3 sessions/week, 1–1.5 hours per session) Deliver practical, industry-aligned training on: Python for Data Science Statistics & Probability Exploratory Data Analysis (EDA) Data Visualization (Matplotlib, Seaborn) Machine Learning (Supervised & Unsupervised) Model Evaluation & Optimization Guide learners through hands-on projects and case studies … Skills & Qualifications 4+ years of experience in Data Science/Analytics/ML Strong proficiency in Python, Pandas, NumPy, Scikit-learn Solid understanding of statistics, ML algorithms, and data workflows Prior experience in training, mentoring, or teaching (preferred) Excellent communication and presentation skills Ability to explain complex concepts ...

online Data Science training sessions (3 sessions/week, 1–1.5 hours per session) Deliver practical, industry-aligned training on: Python for Data Science Statistics & Probability Exploratory Data Analysis (EDA) Data Visualization (Matplotlib, Seaborn) Machine Learning (Supervised & Unsupervised) Model Evaluation & Optimization Guide learners through hands-on projects and case studies … Skills & Qualifications 4+ years of experience in Data Science/Analytics/ML Strong proficiency in Python, Pandas, NumPy, Scikit-learn Solid understanding of statistics, ML algorithms, and data workflows Prior experience in training, mentoring, or teaching (preferred) Excellent communication and presentation skills Ability to explain complex concepts ...

online Data Science training sessions (3 sessions/week, 1–1.5 hours per session) Deliver practical, industry-aligned training on: Python for Data Science Statistics & Probability Exploratory Data Analysis (EDA) Data Visualization (Matplotlib, Seaborn) Machine Learning (Supervised & Unsupervised) Model Evaluation & Optimization Guide learners through hands-on projects and case studies … Skills & Qualifications 4+ years of experience in Data Science/Analytics/ML Strong proficiency in Python, Pandas, NumPy, Scikit-learn Solid understanding of statistics, ML algorithms, and data workflows Prior experience in training, mentoring, or teaching (preferred) Excellent communication and presentation skills Ability to explain complex concepts ...

online Data Science training sessions (3 sessions/week, 1–1.5 hours per session) Deliver practical, industry-aligned training on: Python for Data Science Statistics & Probability Exploratory Data Analysis (EDA) Data Visualization (Matplotlib, Seaborn) Machine Learning (Supervised & Unsupervised) Model Evaluation & Optimization Guide learners through hands-on projects and case studies … Skills & Qualifications 4+ years of experience in Data Science/Analytics/ML Strong proficiency in Python, Pandas, NumPy, Scikit-learn Solid understanding of statistics, ML algorithms, and data workflows Prior experience in training, mentoring, or teaching (preferred) Excellent communication and presentation skills Ability to explain complex concepts ...