25 of 25 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 ...

help shape the future of AI while ensuring technology benefits everyone. You hold a Master s or PhD Degree in Data Science, Statistics, Mathematics, Computer Science, or related quantitative field. You have at least 5 years of hands-on data science experience with proven business impact. You have portfolio ...

following experience will enable you to succeed in this role: Strong academic or equivalent experience: MSc/PhD in a quantitative discipline (e.g. Statistics, Computer Science, Applied Maths) Advanced technical skills: Deep proficiency in Python and SQL, with experience using modern data tools and cloud platforms such as AzureML. Proven ...

derive meaningful insights. Communication Skills: Excellent verbal and written communication skills, with a knack for storytelling through data. Education: A degree in Data Science, Statistics, Mathematics, or a related field (Master’s or Ph.D. preferred). What you'll get in return Exciting Projects: Work on diverse and challenging projects ...

Master Data Management, Data Lineage analysis, Metadata Management, Data Quality assessment and management, Data Transformation and migration \n Ability to apply advanced analytics and statistics to business problems \n Proven experience of working with large volumes of data, applying tools such as SAS, R, Python, SQL, PowerBI, Tableau, Looker ...

containerisation e.g. Docker, Kubernetes Shell scripting Experience with BI An interest in software-engineering or data-science e.g. ML/DL/AI/Statistics Project management experience Humanitarian knowledge/experience Additional Information This is a remote position and you will be expected to attend some weekend training events ...

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 ...

including libraries such as Pandas, NumPy and scikit-learn. Experience working with deep learning frameworks such as PyTorch or TensorFlow. A solid grounding in statistics and probability, with strong mathematical foundations (calculus and linear algebra highly advantageous). Experience working across the full data science project lifecycle. A pragmatic, engineering ...

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. ...

you. Role Purpose & Responsibilities We are hiring a Machine Learning Scientist into the Science Team to contribute to the development of models from classical statistics and gradient-boosted methods through to deep learning when warranted that turn satellite, radar, and LiDAR observations into defensible, plot-level intelligence on the world ...

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 ...

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 ...

causal inference in applied, commercial settings. Familiarity with energy markets, power trading, or portfolio management. PhD or equivalent research depth in a quantitative discipline (statistics, applied mathematics, physics, operations research, or similar). Ability to reason about the trade-offs between optimisation solvers (Gurobi etc) and gradient-based ML methods ...

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 ...

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 ...

optimization, data pipelines, Linux No. Positions - 3 Remote Status - No Remote Client Willing to Sponsor - Yes Degree - Bachelor's Degree in Computer Science, Mathematics, Statistics, or Operation Research ONLY Relocation Paid - YesRecruit From UK only Salary Details: Annual Salary - £250,000 - £600,000 Other Compensation - Base + Bonus Job Description ...

This job is with Allianz Commercial, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. We are a Data and ...

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 ...

successful Data Scientist will have the following skills and experience: Solid experience in risk modelling Strong Python and SQL skills A solid foundation in Statistics and ML. Experience with end to end product ownership THE BENEFITS: You will receive a salary, dependent on experience. Salary ...

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 ...