1 to 25 of 87 Statistics Jobs in the South East

organised manner Continuously learn and apply new data science tools, techniques, and best practices Requirements Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field 0–1 years of experience in data analysis or data science (internships included) Strong foundation in Python (Pandas, NumPy, Scikit ...

organised manner Continuously learn and apply new data science tools, techniques, and best practices Requirements Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field 0–1 years of experience in data analysis or data science (internships included) Strong foundation in Python (Pandas, NumPy, Scikit ...

organised manner Continuously learn and apply new data science tools, techniques, and best practices Requirements Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field 0–1 years of experience in data analysis or data science (internships included) Strong foundation in Python (Pandas, NumPy, Scikit ...

organised manner Continuously learn and apply new data science tools, techniques, and best practices Requirements Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field 0–1 years of experience in data analysis or data science (internships included) Strong foundation in Python (Pandas, NumPy, Scikit ...

organised manner Continuously learn and apply new data science tools, techniques, and best practices Requirements Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field 0–1 years of experience in data analysis or data science (internships included) Strong foundation in Python (Pandas, NumPy, Scikit ...

organised manner Continuously learn and apply new data science tools, techniques, and best practices Requirements Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field 0–1 years of experience in data analysis or data science (internships included) Strong foundation in Python (Pandas, NumPy, Scikit ...

organised manner Continuously learn and apply new data science tools, techniques, and best practices Requirements Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field 0–1 years of experience in data analysis or data science (internships included) Strong foundation in Python (Pandas, NumPy, Scikit ...

data science, machine learning, and AI development across structured and unstructured data. Advanced degree (Master's or PhD) in Computer Science, Engineering, Mathematics, Statistics, or a related field (preferred) Deep experience in personalization, search, or recommendation systems (3–4 years in a product-focused environment). Expertise in deep learning ...

effectively through compelling visualizations and presentations. What We're Looking For: To thrive in this role, you should have: A degree in Computer Science, Statistics, Mathematics, or a related field (Master's or Ph.D. preferred). Proficiency in programming languages, particularly Python, R, or SQL. Experience with machine learning techniques ...

intelligent conversational agents. Dive into the world of traditional NLP techniques and stay ahead of the curve. Apply a strong understanding of fundamental concepts-statistics, linear algebra, calculus, regression, classification, and time series analysis – to extract valuable insights from data. Be the driving force behind our data visualisation efforts – whether ...

analytics to drive product or business decisions. Strong Python skills for data analysis, modelling, and experimentation; working knowledge of SQL. Solid grounding in statistics, machine learning, and predictive modelling, including classification, regression, and clustering techniques. Experience designing, running, and evaluating experiments (e.g. A/B testing) to measure product ...

investigate behaviour, changes, or anomalies What You Bring Degree (or equivalent experience) in Mathematics, Physics, Engineering, Computer Science, Economics, or similar Strong grounding in statistics, probability, and time-series analysis Comfortable working in Python and analysing data programmatically Clear communicator — able to explain analysis simply and honestly Curious about ...

Dataflow, or Vertex AI is a plus. Required Skills & Qualifications: Bachelor's or Master's degree in a quantitative field such as Data Science, Statistics, Mathematics, Computer Science, Economics, or a related discipline. 5 years of progressive experience in data analysis, business intelligence, or data science roles. What ...

Dataflow, or Vertex AI is a plus. Required Skills & Qualifications: Bachelor's or Master's degree in a quantitative field such as Data Science, Statistics, Mathematics, Computer Science, Economics, or a related discipline. 5 years of progressive experience in data analysis, business intelligence, or data science roles. What ...

Dataflow, or Vertex AI is a plus. Required Skills & Qualifications: Bachelor's or Master's degree in a quantitative field such as Data Science, Statistics, Mathematics, Computer Science, Economics, or a related discipline. 5 years of progressive experience in data analysis, business intelligence, or data science roles. What ...

Dataflow, or Vertex AI is a plus. Required Skills & Qualifications: Bachelor's or Master's degree in a quantitative field such as Data Science, Statistics, Mathematics, Computer Science, Economics, or a related discipline. 5 years of progressive experience in data analysis, business intelligence, or data science roles. What ...

Dataflow, or Vertex AI is a plus. Required Skills & Qualifications: Bachelor's or Master's degree in a quantitative field such as Data Science, Statistics, Mathematics, Computer Science, Economics, or a related discipline. 5 years of progressive experience in data analysis, business intelligence, or data science roles. What ...

Dataflow, or Vertex AI is a plus. Required Skills & Qualifications: Bachelor's or Master's degree in a quantitative field such as Data Science, Statistics, Mathematics, Computer Science, Economics, or a related discipline. 5 years of progressive experience in data analysis, business intelligence, or data science roles. What ...

Dataflow, or Vertex AI is a plus. Required Skills & Qualifications: Bachelor's or Master's degree in a quantitative field such as Data Science, Statistics, Mathematics, Computer Science, Economics, or a related discipline. 5 years of progressive experience in data analysis, business intelligence, or data science roles. What ...

Dataflow, or Vertex AI is a plus. Required Skills & Qualifications: Bachelor's or Master's degree in a quantitative field such as Data Science, Statistics, Mathematics, Computer Science, Economics, or a related discipline. 5 years of progressive experience in data analysis, business intelligence, or data science roles. What ...

Dataflow, or Vertex AI is a plus. Required Skills & Qualifications: Bachelor's or Master's degree in a quantitative field such as Data Science, Statistics, Mathematics, Computer Science, Economics, or a related discipline. 5 years of progressive experience in data analysis, business intelligence, or data science roles. What ...

futures, and fixed Income · Attention to detail and strong communication skills · Master's or PhD degree in a quantitative field such as data science, statistics, computer science or financial engineering · Experience in designing, building and testing systematic signals would be a bonus. ...

technical authority within the team, guiding junior data scientists and shaping the research culture. Requirements for the role: Academic Background: Strong foundation in Mathematics, Statistics, Computer Science or Physics (PhD or MSc preferred). Research Expertise: Deep understanding of Machine Learning theory, specifically in areas like Time-Series Forecasting, Probabilistic ...

Azure/GCP) Analytical curiosity, attention to detail, and ability to question data quality Clear communication skills and confidence presenting findings Nice-to-haves: Statistics and experimentation (A/B, multivariate) Segmentation/modelling experience Exposure to marketing orchestration/ad-tech tools (Salesforce, Braze, Adobe, DSPs) Light data engineering ...

role in a relevant industry. An interest in the field of Digitalisation and Technology Exposure to projects or coursework related to data analysis, statistics, machine learning or database management Exposure to languages and tools used in data analytics, such as Python, R, or SQL. Also, some exposure to Data Visualisation ...