Experimental methods jobs

Frame customer, commercial and operational challenges as testable Data Science questions
Lead the development and validation of predictive, forecasting, propensity, anomaly and fraud, optimisation and causal models
Define appropriate experimental design, sampling approaches, feature strategies, evaluation methods and statistical tests
Lead modelling, experimentation and scientific validation
Set and assure scientific standards for reproducibility, peer review, explainability, fairness, bias, uncertainty and model limitations

Requirements

Postgraduate qualification in a quantitative discipline or equivalent depth of applied experience

Skills

Advanced Python capability Statistical and machine learning libraries Supervised and unsupervised machine learning Forecasting Causal inference Experimental methods Evaluation approaches Statistical tests Decision thresholds Validation techniques Model evaluation Calibration Explainability Fairness

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Lead Data Scientist

Vodafone · Posted Nov 5, 2026

Open

Newbury, Berkshire, United Kingdom +1 more
Hybrid
Full-time · Lead

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Seeking a Lead Data Scientist to provide senior scientific leadership for Data Science and applied-model development within Digital Engineering, Digital & IT.

Locations (2)

Newbury, Berkshire, United Kingdom
Paddington, London, United Kingdom

Responsibilities

Frame customer, commercial and operational challenges as testable Data Science questions, defining outcomes, baselines, assumptions, decision thresholds and measures of value.
Lead the development and validation of predictive, forecasting, propensity, anomaly and fraud, optimisation and causal models for prioritised use cases.
Define appropriate experimental design, sampling approaches, feature strategies, evaluation methods and statistical tests based on the decision being supported and the available data.
Lead modelling, experimentation and scientific validation, ensuring analytical approaches are proportionate to the problem and evidence available.
Set and assure scientific standards for reproducibility, peer review, explainability, fairness, bias, uncertainty and model limitations.

Assistant or Associate Teaching Professor - MME

Miami University Alumni Association · Posted Nov 3, 2026

Open

Oxford, Ohio, United States
On-site
Full-time · Associate

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Mechanical and Manufacturing Engineering is recruiting for one Teaching, Clinical Professor and Lecturer (TCPL) position to teach undergraduate- and graduate-level engineering courses; advise students; and provide service to the department and university.

Compensation

Salary will be commensurate with the level of the position, education, and experience.

Responsibilities

teach undergraduate- and graduate-level engineering courses
advise students
provide service to the department and university

Requirements

Ph.D. in Mechanical Engineering
Ph.D. in Manufacturing Engineering
Ph.D. in Mechatronics
Ph.D. in Industrial and Systems Engineering
Ph.D. in a closely related field

Skills

dynamical systems fluid mechanics vibrations controls modeling and simulation thermal-fluid systems experimental methods

Senior Aerodynamics Engineer

Dyson · Posted Nov 3, 2026

Open

Malmesbury, Wiltshire, United Kingdom
On-site
Full-time · Senior
salary and bonuses

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Lead the aerodynamic development of next-generation Dyson Digital Motors using high-fidelity simulation and detailed flow-field analysis (CFD) to drive innovative, simulation-led design from concept to real product.

Responsibilities

Lead aerodynamics design and analysis of next-generation Dyson Digital Motors, using high-fidelity CFD and advanced modelling techniques to drive performance improvements from concept through to development.
Design and optimise aero system across both early concept and detailed development stages, with a strong focus on system integration and overall product performance.
Identify and develop innovative aerodynamic and aeroacoustic solutions, applying first-principles thinking and advanced analytical and experimental methods to solve complex, multi-physics challenges.
Translate research into practical engineering solutions, bridging the gap between early-stage discovery and product delivery to enable robust and scalable motor technologies.
Own simulation-led design workflows, ensuring robust, accurate, and efficient virtual analysis that informs early-stage decision-making and reduces development risk and timelines.

Requirements

Degree (or higher) in Aerospace
Degree (or higher) in Mechanical Engineering
Degree (or higher) in a closely related discipline
Nice to have: Mentoring engineers
Nice to have: Motor design expertise

Research Assistant in Experimental Power Systems and Laboratory Testing - DTU Wind

Research Assistant in Experimental Power Systems and Laboratory Testing - DTU Wind

Compensation

Responsibilities

Requirements

Skills

Benefits

Lead Data Scientist

Locations (3)

Responsibilities

Requirements

Skills

Lead Data Scientist

Locations (2)

Responsibilities

Assistant or Associate Teaching Professor - MME

Compensation

Responsibilities

Requirements

Skills

Senior Aerodynamics Engineer

Responsibilities

Requirements

Skills

Requirements

Skills

Benefits

Benefits

Benefits