1 to 25 of 81 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 ...

solving complex, real-world problems using data science and analytics Strong Python skills (pandas, numpy, scikit-learn) with a solid grounding in probability and statistics Deep understanding of machine learning methods and their practical application Experience delivering multiple end-to-end data science projects across varied data types and business ...

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. ...

written and verbal communication skills, with the ability to explain technical concepts and tell compelling stories through data. Education: A degree in Data Science, Statistics, Mathematics, Computer Science or a related subject. A Master's or PhD would be advantageous. What You'll Get in Return Exciting Projects: Work ...

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 ...

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 ...

quality and integrity across reporting processes Support the documentation of data processes and definitions Key Skills & Experience: Degree in a numerate discipline (e.g. Maths, Statistics, Economics, Computer Science) or equivalent experience Basic working knowledge of SQL Strong Excel skills (pivot tables, VLOOKUPs, formulas) Exposure to a BI/visualisation tool ...

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 ...

junior developers, providingdirectionsupportas you solve challenging problems together. M INIMUM ( ESSENTIAL ) REQUIREMENTS : A minimum of a 2.1 degree in Computer Science, AI, Data Science, Statistics or in a similar quantitative field. Demonstrable experience of deploying modern AI/ML solutions into production,including prompt engineering, retrieval-augmented generation (RAG),modelevaluation ...

junior developers, providingdirectionsupportas you solve challenging problems together. M INIMUM ( ESSENTIAL ) REQUIREMENTS : A minimum of a 2.1 degree in Computer Science, AI, Data Science, Statistics or in a similar quantitative field. Demonstrable experience of deploying modern AI/ML solutions into production,including prompt engineering, retrieval-augmented generation (RAG),modelevaluation ...

which you can discuss with Talent Acquisition. Your skills & experience: Master’s degree or equivalent in a numerical field like data science, AI, maths, statistics, or computer science, with the ability to explain how technical work impacts the business. Demonstrable experience with supervised, unsupervised, and deep learning methods, applying these ...

scientists across the business. Present findings clearly to both technical and non-technical stakeholders. About You You will have: A degree in Actuarial Science, Statistics, Mathematics, Data Science, Biostatistics, Epidemiology, or a related quantitative field. Experience analysing complex longitudinal datasets. Strong statistical modelling and analytical skills. Proficiency in Python ...

common Data Science libraries. Advanced SQL skills and experience working with large or varied datasets. Commercial experience using Snowflake. A good grounding in statistics, machine learning and model validation. Experience applying forecasting, classification, clustering, regression or optimisation in a business environment. Experience handling messy real-world data and making sensible ...

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. APPLY BELOW ...

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 ...

influencing technical decisions through strong design and code reviewsExperience developing scientific, measurement, or signal/image-processing algorithmsBackground in applied mathematics, numerical methods, statistics, or scientific computingExperience improving performance and diagnostics/observability for system-level softwareExperience collaborating across teams on system integration and software releases for complex systemsExperience delivering ...

active training, coaching, and mentorship of junior colleagues. Were looking for someone who is: Highly numerate with a degree in a discipline like Mathematics, Statistics, Engineering, or Physics. Experienced in a statistical or analytical role within the general insurance industry, with an understanding of portfolio risk. Proficient in data manipulation ...

methodologies, assumptions and segmentation frameworks Provide pricing recommendations that support commercial objectives and strategic priorities Degree-qualified in a quantitative discipline (e.g. Data Science, Statistics, Mathematics, Actuarial Science, Economics or Computer Science); actuarial qualification or equivalent professional experience would be advantageous Significant experience in pricing, data science, actuarial, analytics ...

including Python, SQL, VBA, R, Alteryx or advanced Excel. A degree in a quantitative or relevant discipline, such as Mathematics, Engineering, Physics, Economics, Finance, Statistics or Computer Science. If you meet the above set criteria, please apply or send a copy of your CV to Robert Walters Operations Limited ...

Oracle, with hands-on experience in data quality frameworks and automation tools. Bachelor’s degree or higher in a quantitative discipline such as mathematics, statistics, engineering, computer science, or finance. Experience in global data operations or support roles within the financial industry, with a track record of delivering high-quality ...

partner organisations to understand real technical constraints, not just theoretical ones. What you'll bring A Master's or PhD in Computer Science, ML, Statistics, Maths, or equivalent experience, plus 5+ years in applied ML/AI research or development. A genuine track record in privacy-preserving ML, generative ...