1 to 25 of 167 PhD Jobs in London

Tableau, Power BI, or matplotlib/seaborn . Familiarity with cloud platforms (AWS, Azure, GCP) is a plus. Strong problem-solving, analytical, and communication skills. Preferred Qualifications MSc or PhD in Computer Science, Statistics, Mathematics, or a related field. Experience in finance, marketing analytics, or e-commerce. More ❯

Focus on improving decision making in category management by enhancing data-led understanding of products and categories, optimizing across space and range, and increasing automation of category decisions. Qualifications PhD in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Applied Statistics, Physics, Engineering, Biology or related field. 3-5 years of experience. Experience with machine learning techniques such as regularised regression More ❯

introduce best practices into the organization. Requirements 7+ years of experience in data science, machine learning, and AI development across structured and unstructured data. Advanced degree (Master’s or PhD) in Computer Science, Engineering, Mathematics, Statistics, or a related field (preferred) Deep experience in personalization, search, or recommendation systems (3–4 years in a product-focused environment). Expertise in More ❯

introduce best practices into the organization. Requirements 7+ years of experience in data science, machine learning, and AI development across structured and unstructured data. Advanced degree (Master’s or PhD) in Computer Science, Engineering, Mathematics, Statistics, or a related field (preferred) Deep experience in personalization, search, or recommendation systems (3–4 years in a product-focused environment). Expertise in More ❯

introduce best practices into the organization. Requirements 7+ years of experience in data science, machine learning, and AI development across structured and unstructured data. Advanced degree (Master’s or PhD) in Computer Science, Engineering, Mathematics, Statistics, or a related field (preferred) Deep experience in personalization, search, or recommendation systems (3–4 years in a product-focused environment). Expertise in More ❯

introduce best practices into the organization. Requirements 7+ years of experience in data science, machine learning, and AI development across structured and unstructured data. Advanced degree (Master’s or PhD) in Computer Science, Engineering, Mathematics, Statistics, or a related field (preferred) Deep experience in personalization, search, or recommendation systems (3–4 years in a product-focused environment). Expertise in More ❯

work with others to understand the problems they face Ability to play a collaborative role in applying for grant funding for research as appropriate to discipline Skills Essential A PhD qualification or equivalent expertise/experience in a quantitative scientific discipline (eg mathematics, statistics, engineering, physics, computational biology, computer science or a relevant discipline). Knowledge Essential Knowledge of appropriate More ❯

self-learning agents. Collaborating with engineering and product teams to deliver scalable solutions. Supporting and mentoring team members, fostering a culture of inclusion, learning, and innovation. Requirements: Advanced degree (PhD, Master's, or equivalent experience) in AI, Computer Science, Mathematics, or a related field. Strong experience in applied AI or LLMs in a commercial or research setting. Strong knowledge of More ❯

capabilities, and skills • Solid background in NLP or speech recognition and analytics, personalization/recommendation and hands-on experience and solid understanding of machine learning and deep learning methods • PhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science with reasonable industry experience, or an MS with significant industry or research experience in More ❯

office-based role and as well as very competitive salaries, our client offers an excellent working environment. Previous experience within the sports trading industry would be beneficial. Skills required: PhD in STEM related subject Proficient in several of the following: Python, C#, C++, Java Mathematical Modelling Mathematical skills, particularly a keen understanding of probabilities and statistics Analytic mindset Strong communication More ❯

with data engineering practices using KDB+/q Practical knowledge of volatility trading and market microstructure in equity derivatives Some other highly valued skills may include: Master's or PhD in STEM (math, statistics, or computer science) Machine learning and optimization theory Knowledge of Python & Rust You may be assessed on key critical skills relevant for success in this role More ❯

into production‐grade systematic strategies. Publish proprietary research (SSRN/peer‐reviewed journals/industry conferences) and participate in industry working groups , enhancing the firm's visibility. YOUR PROFILE PhD in Physics/Mathematics/Computer Science/Quantitative Finance or related STEM field (exceptional MSc considered with relevant work experience). 4–7 years in quantitative research/engineering More ❯

of technological advancements Stay updated on emerging technologies, trends, to recommend and implement innovative solutions that drive business value. Remaining technically very hands on whilst mentoring Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Strong communication skills, with the ability to work effectively in a fast More ❯

We're Looking For Required: 7+ years of experience in a quant/ML engineering or research role within a financial institution, hedge fund, or tech firm Advanced degree (PhD or Master's) in Computer Science, Mathematics, Physics, Engineering, or related discipline Strong expertise in modern ML techniques: time-series forecasting, deep learning, ensemble methods, NLP, or RL Expert-level More ❯

We're Looking For Required: 7+ years of experience in a quant/ML engineering or research role within a financial institution, hedge fund, or tech firm Advanced degree (PhD or Master's) in Computer Science, Mathematics, Physics, Engineering, or related discipline Strong expertise in modern ML techniques: time-series forecasting, deep learning, ensemble methods, NLP, or RL Expert-level More ❯

of technological advancements Stay updated on emerging technologies, trends, to recommend and implement innovative solutions that drive business value. Remaining technically very hands on whilst mentoring Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Strong communication skills, with the ability to work effectively in a fast More ❯

research for AI-driven biological discovery and therapeutics. Drive foundational research efforts for the company's biological AI models, including leading projects related to protein-focused foundation models. Requirements PhD in Transcriptomics, Computational Biology, Artificial Intelligence, Machine Learning, or a related scientific field, or equivalent industry experience. Strong programming skills, especially in Python, with hands-on experience using deep learning More ❯

business outcomes. Create automated anomaly detection systems to monitor and ensure data quality and operational performance. Qualifications Bachelor's degree in Data Science, Computer Science, or a related field. Doctorate in a quantitative field such as Statistics, Computer Science, Mathematics, or Engineering. A "full stack" data scientist - with extensive expertise of data engineering, analysis and analytics, as well as machine 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 ❯

AI/ML literature to identify emerging methods, technologies, and best practices. Explore new data sources and discover techniques for best leveraging data Minimum Qualifications A Master's or PhD in a field related to AI/ML, such as: Computer Science, Mathematics, Statistics, Physics, Linguistics, Mechanical Engineering, or related disciplines Strong background applying Deep Learning techniques (including implementing custom More ❯

NLP expert with experience in the end-to-end AI development life cycle. About You: You're a fit for the role of Applied Scientist if your background includes: PhD in a relevant discipline or Master's plus a comparable level of experience 3+ years of hands-on industry experience building NLP/ML/Knowledge Graph/GenAI systems More ❯

models into live products and client platforms Collaborate closely with engineers and product teams Mentor junior scientists and promote modelling best practices What we’re looking for: MSc/PhD in Operations Research, Applied Maths, Computer Science, or related field Proven experience applying optimisation in production (Pyomo, Gurobi, PuLP, etc.) Strong Python engineering background, ideally with cloud experience (GCP preferred More ❯

as model selection, training or tuning, right-sizing, distillation, and hardware optimization Provide customer and market feedback to product and engineering teams to help define product direction BASIC QUALIFICATIONS PhD degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field plus 5 years of relevant experience, or Master's degree plus 10 years of relevant work More ❯

challenge to evaluate: Algorithmic problem-solving Data structures and computational efficiency Code quality and optimisation under time constraints Ideal Candidate Profile Academic and Professional Background Degree/Masters/PhD in Computer Science, Data Science, or a related discipline Proven experience as a Back-End Developer/Engineering Lead/CTO in data-heavy environments Demonstrable history of technical excellence More ❯

challenge to evaluate: Algorithmic problem-solving Data structures and computational efficiency Code quality and optimisation under time constraints Ideal Candidate Profile Academic and Professional Background Degree/Masters/PhD in Computer Science, Data Science, or a related discipline Proven experience as a Back-End Developer/Engineering Lead/CTO in data-heavy environments Demonstrable history of technical excellence More ❯