1 to 25 of 129 Statistics Jobs in the South East

Requirements 7+ years of experience in 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 architectures (e.g., attention models More ❯

Requirements 7+ years of experience in 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 architectures (e.g., attention models More ❯

Requirements 7+ years of experience in 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 architectures (e.g., attention models More ❯

/ML tools, OTE modeling, or pricing strategy. Certifications: Lean Six Sigma, Power BI, Tableau, or finance/commercial qualifications (CIMA/ACCA). Bachelors degree in Data Science, Statistics, Mathematics, Economics, Business Analytics, or Computer Science. Masters degree or relevant professional certifications are a plus. Why Join Us? Opportunity to influence commercial strategy and decision-making at a high More ❯

development of the global Voice of Customer programme. About You We're looking for someone who brings: A degree (2:1 or above) in a quantitative field such as Statistics, Mathematics, Data Science, or similar. Strong analytical and problem-solving skills with a keen eye for detail. The ability to communicate insights clearly and persuasively to non-technical audiences. Experience More ❯

Create user documentation and training materials Conduct basic training sessions for end users Required Qualifications: The ideal candidate will hold a Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Business Analytics, or a related field, though we will consider candidates with an equivalent combination of education and relevant experience. From a technical standpoint, candidates must demonstrate strong proficiency More ❯

Create user documentation and training materials Conduct basic training sessions for end users Required Qualifications: The ideal candidate will hold a Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Business Analytics, or a related field, though we will consider candidates with an equivalent combination of education and relevant experience. From a technical standpoint, candidates must demonstrate strong proficiency More ❯

Create user documentation and training materials Conduct basic training sessions for end users Required Qualifications: The ideal candidate will hold a Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Business Analytics, or a related field, though we will consider candidates with an equivalent combination of education and relevant experience. From a technical standpoint, candidates must demonstrate strong proficiency More ❯

to non-technical stakeholders. Help develop tools using SQL, Python, and BI platforms (e.g. Quicksight, Power BI, Tableau). What we’re looking for Essential: A degree in (Maths, Statistics, Economics, Computer Science, Data Science). Strong analytical and problem-solving skills. Proficiency in SQL and Excel . Excellent communication and presentation skills. Attention to detail with a proactive mindset. More ❯

delivery A curious nature, with the drive to learn and master new tech and methods Ideally have gained a bachelors or masters degree in a relevant field such as Statistics, Economics, Mathematics of Business Analytics Saga Values: Make it Happen, Do the Right Thing, Customer First, Excellence Every Day, Our People Make Us Special About The Company Over the past More ❯

bachelors or masters program. We love folks with varied coursework, but you must possess an analytical mindset, passion for business, and a desire to innovate. Computer Science, Data Science, Statistics, Mathematics, Engineering majors, a plus. Experience with Python, SQL, and Excel; familiarity with machine learning libraries. A history of tackling projects with a quantitative lens, and a desire for data More ❯

Strong communication skills with the ability to convey complex ideas to both technical and non-technical audiences. Advanced degree (PhD/MSc) in a relevant field (e.g., Computer Science, Statistics, Applied Mathematics). Experience working in an agile team environment. Desired qualifications, skills and experience PhD degree in a relevant field. Good working knowledge of optimisation (linear programming). Strong More ❯

Strong communication skills with the ability to convey complex ideas to both technical and non-technical audiences. Advanced degree (PhD/MSc) in a relevant field (e.g., Computer Science, Statistics, Applied Mathematics). Experience working in an agile team environment. Desired qualifications, skills and experience PhD degree in a relevant field. Good working knowledge of optimisation (linear programming). Strong More ❯

Strong communication skills with the ability to convey complex ideas to both technical and non-technical audiences. Advanced degree (PhD/MSc) in a relevant field (e.g., Computer Science, Statistics, Applied Mathematics). Experience working in an agile team environment. Desired qualifications, skills and experience PhD degree in a relevant field. Good working knowledge of optimisation (linear programming). Strong More ❯

are executed effectively Share complex ideas, issues, and recommendations to gain agreement from different levels and backgrounds in presentation and written form. Your background. Degree in a quantitative field (Statistics, Computer Science, Mathematics, etc.) Proven experience in analytics or data science roles Experience in using customer analysis to identify commercial opportunities Excellent analytical thinking and problem-solving abilities Knowledge of More ❯

development of analytics models to predict trends and behaviors. Engage in continuous learning to stay abreast of the latest analytics technologies and methodologies. Qualifications: Bachelor's degree in Mathematics, Statistics, Computer Science, or a related field, with a strong academic record. Demonstrated interest in data analysis through coursework, projects, or internships. Proficiency in at least one of the following: SQL More ❯

graduate (or soon-to-be) in 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-solving ability and analytical More ❯

Ability to build, evaluate, and deploy ML models (REST APIs, batch jobs, FastAPI, etc.) Experience operating in cloud environments (AWS preferred) using Docker and Git workflows Strong foundation in statistics, machine learning, and experimental design Proven ability to communicate technical solutions clearly to non-technical stakeholders Technical skills (a big plus): Knowledge of deep learning frameworks (PyTorch, TensorFlow), transformers, or More ❯

lifetime value and key metric models. Continuously improve analytics and model accuracy. Lead and contribute to scalable model deployment in production. Requirements: MSc in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Experience in Consumer/Marketing Analytics Strong proficiency in Python and experience with relevant ML libraries/frameworks. Please note: This role requires 1 day onsite per More ❯

lifetime value and key metric models. Continuously improve analytics and model accuracy. Lead and contribute to scalable model deployment in production. Requirements: MSc in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Experience in Consumer/Marketing Analytics Strong proficiency in Python and experience with relevant ML libraries/frameworks. Please note: This role requires 1 day onsite per More ❯

lifetime value and key metric models. Continuously improve analytics and model accuracy. Lead and contribute to scalable model deployment in production. Requirements: MSc in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Experience in Consumer/Marketing Analytics Strong proficiency in Python and experience with relevant ML libraries/frameworks. Please note: This role requires 1 day onsite per More ❯

conclusions and/or present insights and findings 4. Data wrangling - Cleans, manipulates, and transforms data from one form into another format that is more useful and valuable 5. Statistics - Applies the right statistical methods or formulas to solve problems or analyse a situation 6. Statistical Algorithms - Understands and uses algorithms to gather insights from data Secondary Skills: 1. Communication More ❯

project work Sourcing and engineering data to support data science activities Ensuring all work is documented, quality assured, and aligned with governance Who we're looking for: Degree in statistics, computer science, data science, or equivalent experience Strong experience handling high volumes of data with excellent attention to detail Knowledge of a wide range of Generative AI models and techniques More ❯

data professionals and business stakeholdersEnsuring all work is fully documented and quality assuredTaking solutions through internal governance and risk management processes Experience Required- Degree in a quantitative discipline (e.g., statistics, computing science, data science) or equivalent experienceExperience in dealing with high volumes of data with excellent attention to detailKnowledge of a wide variety of Generative AI modelsConceptual understanding of how More ❯

models Skills and Experience Experience in data science, machine learning development or validation, or a quantitative role in financial services or regulated industries Strong academic background in data science, statistics, mathematics, computer science, or a related field Solid analytical and problem-solving skills with the ability to assess surveillance systems Familiarity with configuring, tuning, or validating third-party trade surveillance More ❯