101 to 125 of 406 PhD Jobs in London

the user interface affect customer choice behaviour? The work you will do will have a direct, measurable impact on the bottom line of the company. Requirements: Masters Degree or PhD in Economics or Econometrics (preferred) Always curious and willing to learn new skills A problem solver with a deep analytical mindset Ability to think creatively and insightfully about business-relevant More ❯

build, and test Graphcores next generation of AI hardware. Engage with the AI community and stay updated with the latest developments in AI. Candidate Profile Essential skills: Bachelors, Masters, PhD, or equivalent experience in Machine Learning, Computer Science, Maths, Data Science, or related fields. Proficiency in deep learning frameworks like PyTorch or JAX. Strong Python software development skills (knowledge of More ❯

Graphcores next generation of AI hardware. Engage with AI community and keep in touch with the latest developments in AI. Candidate Profile Essential Skills Bachelor/Master's/PhD or equivalent experience in Machine Learning, Computer Science, Maths, Data Science, or related field. Proficiency in deep learning frameworks like PyTorch/JAX. Strong Python software development skills (nice to More ❯

skills Please provide all academic certificates showing the final grades (A-level, Bachelor) or current grade (Master) What You'll Bring Currently enrolled in a university Master's or PhD degree program in Computer Research Science, Data Science, Statistics, Operations Research, or related field TECHNOLOGIES: Programming Languages: Python Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will More ❯

efforts from prototyping through to production deployment on customer infrastructure. Ideal Candidate Profile Experience Bachelor's degree in Computer Science, Machine Learning, or a related field (Master's or PhD preferred). 8+ years in AI/ML, including several years in technical leadership roles. Proven success leading large ML teams and delivering complex AI solutions at scale. Experience with More ❯

conferences, and scientific workshops. Fosters a culture of continuous learning, constructive collaboration, and innovation within the team, collaborating on tasks and projects to ensure deadlines are met. MSc or PhD in Computer Science/Engineering, Data Sciences, Artificial Intelligence/Machine learning, Bioinformatics, Biostatistics or any other computational quantitative science Minimum of 2-5 years of developing technical solutions for More ❯

flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. BASIC QUALIFICATIONS - PhD or Master's degree or equivalent experience - Experience building a range of AI/ML models - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization More ❯

cross-functional teams is essential, as you’ll help shape the ML strategy and drive innovation in how healthcare behaviors are understood and acted upon. What You’ll Bring PhD in a quantitative or scientific field, with proven commercial experience as a Data Scientist or ML Engineer Exposure to behavioral or consumer data is essential, preferably in the Healthcare space More ❯

looking for Academic or Industrial experience in Operational Research, specifically combinatorial optimisation and/or graph theory Academic or Industrial experience with experimentation, simulation and statistical analysis MSc or PhD in a relevant discipline Experience working in an office environment, or as part of a team Python & SQL Analytical and problem-solving skills, with ability to move from ambiguity to More ❯

or similar). Demonstrated ability to work independently on real-world projects. Strong communicator, with the ability to share ideas, take feedback, and collaborate effectively. A master’s or PhD in a quantitative field (or equivalent real-world experience in data science or analytics). Bonus: experience in at least one of the following areas: Working with Marketing Mix Models More ❯

or similar). Demonstrated ability to work independently on real-world projects. Strong communicator, with the ability to share ideas, take feedback, and collaborate effectively. A master’s or PhD in a quantitative field (or equivalent real-world experience in data science or analytics). Bonus: experience in at least one of the following areas: Working with Marketing Mix Models More ❯

CI/CD for ML, model versioning, testing, and monitoring Design experiments (A/B testing, uplift modelling) to measure impact and optimize performance What We’re Looking For PhD background in a relevant field Proven commercial in data science, with a strong foundation in predictive modelling and machine learning Proven experience working with consumer behaviour data—ideally within healthcare More ❯

from all data and analytics programs. What you'll need to be successful Required Qualifications: - Degree educated in Computer Science, Data Science, Engineering, or related field; Master's/PhD preferred. - 10+ years in data strategy, analytics, or ML/AI leadership roles. - Proven experience with platforms like Snowflake, Databricks, Microsoft Fabric, etc. - Deep expertise in data architecture, pipeline orchestration More ❯

and representing InstaDeep in conferences/events. Requirements: At least 2 years of experience in machine learning, and deep learning (natural language processing and computer vision) in industry. Master, PhD degree or equivalent experience in applied mathematics, computer science, bioinformatics or related scientific fields. Proficiency in software engineering (Python, Pytorch, JAX, Docker, Linux). A willingness to learn and develop More ❯

at least one programming language (e.g., Python, Java, Scala), infrastructure as code, cloud platforms, and SQL. PREFERRED QUALIFICATIONS - Experience in a lead Data Architect role or similar Masters or PhD in Computer Science, Physics, Engineering or Math. - Hands on experience leading large-scale global data warehousing and analytics projects and ability to lead effectively across organizations. - Understanding of database and More ❯

be applied to new data with minimal effort Create clear and easy to understand reports. Verbally present analysis ideas, progress and results to colleagues. Qualifications Skills & Experience Masters/PhD in maths, science or analytics related discipline Solid programming experience ideally with Python and SQL Experience with data manipulation and validation as well as modelling or statistical techniques Excellent written More ❯

Work with Analytics to optimise portfolio value through data and modelling adjustments. Communicate insights to stakeholders, monitor model performance, and collaborate across teams and external partners. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Experience working with models in the Credit Risk/Lending space (Probability of Default, scorecard etc). Strong coding More ❯

Work with Analytics to optimise portfolio value through data and modelling adjustments. Communicate insights to stakeholders, monitor model performance, and collaborate across teams and external partners. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Experience working with models in the Credit Risk/Lending space (Probability of Default, scorecard etc). Strong coding More ❯

projects or products to customers Experience working collaboratively across organisations (e.g., industrial-academic collaborations, academic consortia, or cross-company collaboration) with demonstrable outcomes (publications or further funded work, etc.) PhD or equivalent experience in a biological subject area, with a strong focus on informatics and data analysis Detailed understanding of methods used in genomic data science, including experimental design, QC More ❯

to widely used open source libraries, significant product launches or high impact publications, e.g. at NeurIPS, ICML, ICLR or Nature venues. You are a successful scientist. You have a PhD (or equivalent industry experience) in computational biology, bioinformatics, computer science, biochemistry, structural biology, physics, biophysics, bio/chem engineering, synthetic biology or a related field. You are an experienced molecular More ❯

implementing and scaling analytics platforms in complex organizations. Strong leadership and team management experience. Project management experience, including managing multiple complex projects and budgets. Preferred Qualifications Advanced degree (MS, PhD, or MBA) in a relevant field. Strategic thinker with a strong grasp of operational realities in clinical development. Proven ability to build or evolve control tower or performance management capabilities. More ❯

machine learning techniques to optimize CRM strategies, especially related to automated campaign optimization. Communicate findings and recommendations to stakeholders in a clear and concise manner. Requirements: Master's or PhD degree in a quantitative field. Proven experience of large-scale data analysis and hypothesis testing. Strong proficiency in statistical analysis and predictive modeling. Proficient in Python (pandas, scipy, numpy, scikit More ❯

non-experts - Promote Data Science across the business Company: ISL (Rec.) Qualifications: To be considered for this Lead Data Scientist role you will need to have: - A Masters or PhD in a relevant discipline such as Computer Science, Statistics, Applied Mathematics, or Engineering - Strong experience with Python and R - A strong understanding of a number of the tools across the More ❯

deployed in production are monitored. Stay updated with the latest developments in ML/AI, and related fields to keep the company at the forefront of technological advancements REQUIREMENTS: PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Proven experience in clustering and propensity Strong coding skills in Python, R or MATLAB Excellent communication skills Knowledge of More ❯

diverse client requirements and geographies Model documentation and presentations to engage with stakeholder and customers, all while representing the team at international conferences and industry events Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. 3+ years of experience in a Data Science, Data Analysis, or related role Strong hands-on experience with Python More ❯