1 to 25 of 112 Statistics Jobs in the South East

modelling techniques. Strong analytical and problem-solving skills. Experience communicating technical findings to non-technical audiences. A degree in Data Science, Computer Science, Mathematics, Statistics or another STEM-related discipline. Desirable Skills Experience with cloud platforms such as AWS, Azure or GCP . Experience with Pandas, NumPy and Scikit-learn ...

Banking or Utilities industries; or within a data-related consultancy Educated to degree level (postgraduate preferred) in a quantitative discipline such as Computer Science, Statistics, Mathematics, Economics, or similar Working knowledge of statistical and machine learning methods (e.g. logistic regression, gradient boosting, random forests, clustering, NLP Proficient in Python ...

business development To qualify for the role, you must have: Strong academic qualifications with a degree in a STEM discipline (Computer Science, Engineering, Statistics, Mathematics, etc.) or equivalent work experience A strong fraud analytical background, built up within either the banking sector, the wider financial services field, or consultancy/ ...

Skills – Proficiency in Python for data analysis, modelling and machine learning. Machine Learning – Experience building and evaluating machine learning models. Education – Degree in Mathematics, Statistics, Data Science, or another quantitative field. Communication – Strong verbal and written communication skills. Organisation & Time Management – Excellent organisational and time‐management skills. Experience & Knowledge Proven ...

into clear insights and practical recommendations. Strong communication skills and confidence working with marketing stakeholders. Desirable Experience Degree or equivalent experience in Marketing, Analytics, Statistics, Finance, Computer Science or a related discipline. Experience with attribution, incrementality testing or experimentation. Interest in workflow automation, agentic AI and emerging analytics technologies. ...

technical and non-technical audiences. Acquire domain knowledge to inform modelling opportunities and model feature creation Qualifications Education: Bachelor’s degree in data science, Statistics, Mathematics, or a related field. Experience: Experience designing experiments or modelling approaches to solve a specified problem. Technical Skills: Proficiency in programming languages such ...

side or sell-side with a genuine interest in sustainable investing Undergraduate degree in a quantitative discipline such as finance, economics, mathematics, statistics, computer science or a related field Strong programming skills, particularly in Python and SQL, with experience manipulating and analysing large datasets Experience using modern generative AI tools ...

business process analysis, requirements management and solution design. Experience working within Agile, Scrum or hybrid delivery methodologies. Degree in Computer Science, Information Systems, Mathematics, Statistics, or equivalent professional experience. Desirable Experience with technologies such as Azure, Databricks, Power BI, or similar enterprise platforms. Exposure to data analytics, business intelligence ...

sharing knowledge and raising engineering standards across the team. Qualifications & experience A degree or equivalent experience in computer science, data engineering, software engineering, mathematics, statistics or a related technical discipline would be beneficial. Google Cloud, dbt or other relevant data engineering certifications are also welcomed, although practical experience and demonstrable ...

judge whether a finding is plausible before it's presented as fact Analytical Degree level in a numerate discipline with strong statistical grounding (statistics, mathematics, data science, economics, or similar), or equivalent experience Strong hands-on Python and/or SQL experience for data manipulation and analysis Experience turning messy ...

Python, or R to manipulate and analyse data (training and development provided) What We Are Looking For A degree in Data Science, Mathematics, Statistics, Computer Science, Economics, or a related numerate discipline. You will be analytical, detail-oriented, and comfortable working with large and complex datasets. Strong Excel skills ...

Strong communication and stakeholder management skills. Experience balancing multiple priorities in a fast-paced environment. A degree in a quantitative discipline such as Mathematics, Statistics, Economics, Engineering, Computer Science or a related STEM subject. Desirable experience includes: Python, R or SPSS. Workforce analytics, people analytics or public sector analysis. Exposure ...

spot recurring patterns and anomalies in supply data.***Basic qualifications/Requirements:**** Education: Bachelor’s degree in supply chain management, Business Analytics, Data Science, Statistics, or a related field* Experience: 1 to 4 years of professional experience in data analysis, logistics, or supply chain planning.* Technical Proficiency: Advanced skills ...

analytics, or strategy in financial services, lending, or a similarly data-driven environment. Bachelor’s degree in a quantitative field such as Mathematics, Physics, Statistics, Economics, or a related discipline. Advanced degree is a plus. Proficiency in SQL for data extraction and manipulation, and Excel and/or Python ...

Applied knowledge of data science and ML tools across all stages of the data and model lifecycle. Thorough understanding of the mathematical foundations of statistics, machine learning, and scientific computing. Strong programming experience in one or more object-oriented languages (e.g. Python, Go, Java, C++). Advanced SQL knowledge. Experience ...

Thorough grounding in containerisation e.g. Docker, Kubernetes Shell scripting An interest in software-engineering or data-science e.g. ML/DL/AI/Statistics Humanitarian knowledge/experience What does it mean to be part of the MapAction team? Being part of MapAction means entering a close-knit community ...

recommendations and outcomes for clients Work directly with stakeholders to understand requirements and develop tailored analytical solutions Key Skills Required: Data Analysis - advanced analysis, statistics and data modelling Python/SQL - hands-on data analysis and manipulation Data Visualisation - Power BI, Tableau or similar Data Quality - cleansing, validation and standardisation ...

areas with creation and interpretation of ad-hoc analysis Essential Qualifications and Experience 1. Degree-level qualification in a relevant discipline (e.g., Data Analytics, Statistics, Business Intelligence, Public Administration) or equivalent experience. 2. Experience of using data visualisation and reporting tools Power BI. 3. Experience of working with databases, excel ...

Databricks. Strong understanding of testing, version control, containerisation, and monitoring. A degree, PHD or post-doc experience in a quantitative discipline such as statistics, mathematics, computer science, or a related field. Nice to have: Experience applying GenAI or NLP models to real-world business problems. Be yourself – Our differences make ...

pricing governance, model controls, conduct requirements and the importance of delivering fair customer outcomes. Degree‐level qualification in a numerical discipline such as mathematics, statistics, actuarial science, data science, economics, computer science or a related field. Relevant professional qualifications, such as actuarial or insurance qualifications, are desirable but not essential. ...

verbal communication skills. Experience presenting technical information to non-technical stakeholders. Strong stakeholder management and relationship-building skills. A STEM degree, ideally within mathematics, statistics, economics, or a related discipline. The ability to work independently and manage competing priorities. #J-18808-Ljbffr ...

verbal communication skills. Experience presenting technical information to non-technical stakeholders. Strong stakeholder management and relationship-building skills. A STEM degree, ideally within mathematics, statistics, economics, or a related discipline. The ability to work independently and manage competing priorities. #J-18808-Ljbffr ...

verbal communication skills. Experience presenting technical information to non-technical stakeholders. Strong stakeholder management and relationship-building skills. A STEM degree, ideally within mathematics, statistics, economics, or a related discipline. The ability to work independently and manage competing priorities. #J-18808-Ljbffr ...

experience in data science, applied data science or machine learning in a sophisticated commercial environment. Advanced capability in Python and SQL. Deep grounding in statistics, machine learning, experimentation and model validation. Solutions you can point to that delivered measurable customer or commercial impact. Strong experience across segmentation, propensity, lifetime value ...

expert at presenting complex data to non-technical stakeholders and can navigate competing demands tactfully. Qualifications: You hold a degree in Data Science, Statistics, Business Analytics, Mathematics, or have equivalent relevant professional experience. Why Join us? We believe in empowering our employees. As part of our team ...