20 of 20 Statistics Jobs in the South East

data analysis capabilities Experience communicating technical findings and insights to non-technical stakeholders A degree qualification (BSc, MSc, PhD etc.) in Data Science, Mathematics, Statistics, Physics, Computer Science, or a similar quantitative discipline The Senior Data Scientist will ideally have the following attributes: Experience working with large-scale transactional, behavioural ...

supportive team environment. Requirements Essential Bachelor's degree ( 2:1 or above ) in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Information Technology, Mathematics, Statistics, or a related STEM discipline. Strong interest in artificial intelligence and emerging technologies. Excellent written and verbal communication skills. Strong attention to detail and analytical ...

cloud environment Experience with BI tools (Tableau, Power BI or Looker) Solid experiment design skills — A/B, multivariate, incrementally testing Degree in statistics, mathematics, computer science or related field Strong stakeholder management — able to present findings clearly in trade and senior business meetings Excellent reporting skills — translating complex data ...

colleagues through GitHub, shared standards and code review. Skills Required: A degree in a quantitative, analytical or spatial subject such as geography, data science, statistics, mathematics, operational research, economics, engineering, GIS, planning or a related field. Good Python skills, particularly for data manipulation and analysis using libraries such as pandas. ...

recommendation systems or time-series forecasting Solid understanding of ML models beyond “from sklearn import ...” A Masters or higher in a quantitative discipline (Statistics, Maths, Computer Science, Economics, etc.) Nice to have A mentorship mindset Ability to work under tight deadlines and with minor supervision MCP Servers experience ...

with a natural curiosity for data Experience using SQL and at least one analytical language such as Python or R A solid understanding of statistics and machine learning fundamentals Experience working with data transformation or ETL tools (DBT is a plus) Confidence explaining technical concepts to non-technical audiences ...

projects. Communicate technical decisions, risks and concerns clearly to non-technical audiences. Knowledge, Experience and Qualifications Essential • PhD or MSc in Computer Science, Mathematics, Statistics, Engineering, Physics or another relevant STEM discipline, or equivalent practical experience. • Extensive years of experience in machine learning engineering, software engineering, or a related technical ...

science and product development. We're looking for someone who Is studying or has recently completed a degree in Computer Science, Mathematics, Engineering, Physics, Statistics, Data Science or a related quantitative subject. Has strong programming skills, ideally in Python. Enjoys solving complex problems from first principles. Can translate ideas into ...

your work and translate complex ideas into simple insights. Strong Python skills, with the ability to write clean, production-quality code Solid grounding in statistics (not just surface-level understanding) Experience with machine learning, including classical models and some modern NLP approaches Experience building models that are actually used ...

data analysis (for example, market research)Validity and reliability evaluationWe'd Love to SeePhD or Master's in Artificial Intelligence, Machine Learning, Computer Science, Statistics, Psychology or a related discipline.Experience publishing research or contributing to innovative AI projects.Experience working within research-led environments.Excellent communication and stakeholder management skills.What ...

mentor scientists and lead cross-functional initiatives What You'll Bring Technical Expertise: Strong Python (pandas, scikit-learn, statsmodels) and/or R Solid statistics—inference, experimental design and causal methods Machine learning—supervised and unsupervised methods and rigorous evaluation Strong SQL and comfort with messy, real-world data Experimentation ...

scikit-learn Hands-on experience with at least one deep learning framework (PyTorch, TensorFlow, JAX) Solid grounding in core ML—supervised, unsupervised, evaluation, regularisation, statistics Production ML experience—deploying, serving and monitoring models at scale LLM and generative AI tooling exposure (LangChain, LlamaIndex, vector databases such as Pinecone, Weaviate ...

Proven experience operating at senior practitioner level as a Machine Learning Engineer, AI Engineer, Applied ML Scientist, or equivalent Strong grounding in applied mathematics, statistics, and scientific practice Demonstrated ability to evaluate ML models using quantitative evidence and structured experimentation Excellent Python skills for building, evaluating, and iterating ...

launch Partner with product and commercial teams to shape strategy Your Skills and Experience Strong experience in experimentation and causal inference Background in Economics, Statistics, or a related field Solid grounding in econometrics and A B testing Experience with counterfactual analysis or simulation methods Proficiency in Python ...

with exposure to statistical modelling or Marketing Mix Modelling Proficiency in Python and experience working with cloud platforms such as GCP Understanding of Bayesian statistics and marketing attribution methodologies Experience with tools such as Meridian, Robyn, PyMC, or similar modelling frameworks Ability to communicate complex technical findings in a clear ...

data science, machine learning or AI solutions in a commercial environment Strong programming capability in Python (Pandas, NumPy, SciPy or similar) Solid grounding in statistics, probability and data analysis AI & LLM Experience Hands-on experience with large language models, including: RAG pipelines Fine-tuning approaches Agent-based architectures A practical ...

Looking For Experience with Marketing Mix Modelling or statistical modelling Strong Python skills and experience working with large datasets Understanding of Bayesian statistics and attribution methodologies Experience with tools such as Meridian, Robyn, PyMC, or similar Ability to communicate technical findings clearly to stakeholders Strong attention to detail and analytical ...

Barb (UK TV audience measurement) and RAJAR (radio audience measurement), to help them understand, plan, and measure consumer behaviour across media. We focus on statistics and data science in media, developing models and methodologies for audience and viewer measurement. Our team of around 50 people operates in a hybrid working … broad knowledge of statistical/mathematical techniques – Ideally possessing the following skills: Education: At least a 2:1 Bachelor's degree in Data Science, Statistics, Mathematics, or a related field. If applying with a predicted grade, any job offer will be subject to achieving this grade. Technical Skills: Competent with ...

Bachelor's Degree in Computer Science, Maths, Statistics, or Operation Research £120k - £160k+ base (£250,000 - £600,000 overall) London (office based) Senior Quantitative Developer - LONDON UK Remote Status - No Remote Client Willing to Sponsor - Yes MUST HAVE - Bachelor's Degree in Computer Science, Mathematics, Statistics, or Operation Research … used as one tool among many - this is a systematic shop, not an AI-first fund. Qualifications Bachelor's Degree in Computer Science, Mathematics, Statistics, or Operation Research only AND from a top 20 internationally ranked university You have real buy-side experience - or experience in an environment with similar ...

part of a team. They will work on statistical analysis projects, having expertise in improving data quality, data analysis, data reporting, and communicating statistics and trends to a lay audience. The person will be responsible for supporting the statistical analysis of project work, basic research of examinations trends, reporting … data management across Federation. The successful candidate will be educated to degree level in a mathematics, statistics, or other numerical related subject. They will also have advanced IT skills, experience with programming and statistical analysis, experience in managing projects, and be able to present technical and statistical information ...