1 to 25 of 58 Statistics Jobs in the South East

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 ...

communication skills Knowledge of machine learning, AI, or data governance frameworks Familiarity with Agile methodologies Degree in a quantitative discipline such as Mathematics, Statistics, or Computer Science Location: London, Northampton or Glasgow Hybrid working: 2 days on site per week ...

effectively through compelling visualizations and presentations. What We’re Looking For: To thrive in this role, you should have: A degree in Computer Science, Statistics, Mathematics, or a related field (Master’s or Ph.D. preferred). Proficiency in programming languages, particularly Python, R, and SQL. Experience with machine learning techniques ...

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 ...

Engage with mentorship and guidance from senior members of the team Qualifications: A bachelor's or master's degree in computer science, Data Science, Statistics, Information Systems, or a related discipline, or equivalent demonstrable experience Foundational experience with React and JavaScript/TypeScript, whether through academic, personal, or professional work ...

sure you tick every box, we’d still encourage you to apply. Your skills & experience: Master’s degree in Data Science, Analytics, Actuarial, Statistics, or a related field Significant experience leading analytics teams and delivering end‐to‐end analytics projects in Insurance or Healthcare sector. Strong expertise in BI & analytics ...

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 ...

contact in the business. Provide Group and local HQs with timely and accurate data analysis upon request. Requirements: University degree in Engineering, Science, Mathematics, Statistics or a related field. Fluent in English, both written and verbal (C1/C2). Minimum 6 years of experience as a Senior Data Insights ...

through collaboration Natural problem-solver with a desire to learn Organised and self-motivated Desired Skills Master’s degree in machine learning, mathematics or statistics Understanding of probabilistic model development Experience of Bayesian modelling Good understanding of software design principles and best practices Good knowledge of at least one object ...

Experience of Project Management in Defence & Security and/or other Government Departments. Degree (or equivalent) in a numerate subject such as, Mathematics, Engineering, Statistics or Physics. Cloud support experience (e.g. AWS, Azure, or Google Cloud). CULTURAL FIT Seeing the Big Picture An ability to focus on the goals ...

contributing to internal knowledge sharing. What You'll Need:To excel in this role, you should possess: A solid foundation in machine learning, statistics, and programming. Intellectual curiosity and critical thinking skills, with a scientific mindset that drives business impact. Proven ability to translate complex business problems into clear data ...

ROI. - Experience/knowledge of Zapier, Bemycar, MSD software or similar packages advantageous. - Degree qualified in a relevant field such as data science, statistics, computer science, mathematics or digital marketing essential. This role is a vital part of the company's mission to enhance operational efficiency and maximise growth opportunities. ...

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 ...

risk analytics, and scenario modelling Experience in threat detection/anomaly detection, such as fraud, compliance, safety, or security use cases Strong grounding in statistics, hypothesis testing, and experimental design Experience working with large, complex, and messy data sets Experience in life sciences, healthcare, or other highly regulated sectors This ...

applying Generative AI and Large Language Models in production environments Deep knowledge of NLP, text generation, and modern machine learning techniques Excellent grounding in statistics, experimental design, and model validation Expert Python skills within a data science or machine learning stack, plus strong SQL Experience working with large, complex datasets ...

software, and systems engineering teams Produce technical documentation covering validation, assumptions, and performance metrics Required Experience: Degree in Mathematics, Physics, Electrical Engineering, Mechanical Engineering, Statistics, Computer Science, or related STEM discipline Experience developing estimation or control algorithms using EKF/UKF, Kalman Filters, MPC, or similar approaches Strong understanding ...

z2bz0 years of applied ML experience Strong background in deep learning (computer vision), state-estimation, and core ML mathematics (probability theory, statistics, optimisation, etc) Proficiency in Python (required) and C++ (preferred for robotics integration) Experience with ML frameworks such as PyTorch (preferred), TensorFlow, or JAX Proven track record building production ...

5+ years of relevant industry experience • Strong experience with deep learning and computer vision techniques • A solid understanding of probability, optimisation, statistics, and ML fundamentals • Strong Python programming skills, with C++ experience considered highly beneficial • Experience using frameworks such as PyTorch, TensorFlow, or JAX • Experience building scalable ML systems ...

teams and external stakeholders on performance matters Support discussions relating to non-compliance and contractual performance Health & Safety Compile, analyse, and report health & safety statistics and exposure data Other Duties Carry out any additional reasonable tasks as requested to support the needs of the business Essential Skills & Experience Proven experience ...

such as automated sports metadata generation and detection of key events in live content and data streams." Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment." Integrate"model"driven"insights into personalisation engines, tailoring ...

such as automated sports metadata generation and detection of key events in live content and data streams." Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment." Integrate"model"driven"insights into personalisation engines, tailoring ...

such as automated sports metadata generation and detection of key events in live content and data streams." Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment." Integrate"model"driven"insights into personalisation engines, tailoring ...

such as automated sports metadata generation and detection of key events in live content and data streams." Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment." Integrate"model"driven"insights into personalisation engines, tailoring ...

such as automated sports metadata generation and detection of key events in live content and data streams." Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment." Integrate"model"driven"insights into personalisation engines, tailoring ...

such as automated sports metadata generation and detection of key events in live content and data streams." Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment." Integrate"model"driven"insights into personalisation engines, tailoring ...