1 to 25 of 350 PhD Jobs in London

cloud environments (AWS, Azure, GCP). Ensure explainability, bias detection, and algorithmic fairness in models. Collaborate with stakeholders to translate business challenges into data-driven solutions. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong Python skills (bonus: C++, SQL, Spark) Experience in ML algorithms (XGBoost, clustering, regression) Expertise in Time Series, NLP More ❯

to valuable outcomes for the business. What are we looking for? Degree or equivalent in Data Science, Mathematics, Statistics, or other numerate discipline. Nice to have - Master's/PhD with computing, scientific, statistical, or mathematical component. 10+ years' experience working as a Data Scientist. 5+ years varied technical experience in delivering statistical analytics, data science and insight on large More ❯

to valuable outcomes for the business. What are we looking for? Degree or equivalent in Data Science, Mathematics, Statistics, or other numerate discipline. Nice to have - Master's/PhD with computing, scientific, statistical, or mathematical component. 10+ years' experience working as a Data Scientist. 5+ years varied technical experience in delivering statistical analytics, data science and insight on large More ❯

to valuable outcomes for the business. What are we looking for? Degree or equivalent in Data Science, Mathematics, Statistics, or other numerate discipline. Nice to have Master's/PhD with computing, scientific, statistical, or mathematical component. 10+ years experience working as a Data Scientist. 5+ years varied technical experience in delivering statistical analytics, data science and insight on large More ❯

to valuable outcomes for the business. What are we looking for? Degree or equivalent in Data Science, Mathematics, Statistics, or other numerate discipline. Nice to have Master's/PhD with computing, scientific, statistical, or mathematical component. 10+ years experience working as a Data Scientist. 5+ years varied technical experience in delivering statistical analytics, data science and insight on large More ❯

to valuable outcomes for the business. What are we looking for? Degree or equivalent in Data Science, Mathematics, Statistics, or other numerate discipline. Nice to have Master's/PhD with computing, scientific, statistical, or mathematical component. 10+ years experience working as a Data Scientist. 5+ years varied technical experience in delivering statistical analytics, data science and insight on large More ❯

cloud environments (AWS, Azure, GCP). Ensure explainability, bias detection, and algorithmic fairness in models. Collaborate with stakeholders to translate business challenges into data-driven solutions. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong Python skills (bonus: C++, SQL, Spark) Experience in ML algorithms (XGBoost, clustering, regression) Expertise in Time Series, NLP More ❯

if you feel like you could excel in this role, please get in touch! A degree in Computer Science, Engineering, AI, Math, Physics, or similar - or equivalent work experience (PhD in STEM subject desirable) 2+ years experience writing production-level code for computer vision based applications with Python ML libraries, e.g Pytorch, TensorFlow Proficiency with version control and cloud computing More ❯

if you feel like you could excel in this role, please get in touch! A degree in Computer Science, Engineering, AI, Math, Physics, or similar - or equivalent work experience (PhD in STEM subject desirable) 2+ years experience writing production-level code for computer vision based applications with Python ML libraries, e.g Pytorch, TensorFlow Proficiency with version control and cloud computing More ❯

data findings through clear reports and visualisations. What we're looking for Qualifications & Experience Degree in computer science, data science, statistics, mathematics, or a related quantitative field. (Masters or PHD preferred) 2+ years of experience in data science roles, with a track record of delivering data science projects. Experience with cloud-based data platforms (e.g.: AWS, Azure, GCP). Experience More ❯

for analyzing and making sense of research data outputs and survey datasets. Fluency in advanced statistics, ideally through both education and experience. Person Specification Bachelor's, Master's, or PhD in Data Science, Computer Science, Statistics, or a related field. Comfortable working with uncertainty and ambiguity, from initial concepts through iterations and experiments to find the right products/services More ❯

security screenings: - Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications: - PhD degree in Computer Science, Statistics, Mathematics, OR a related field. - Proven track record in training large language models and post-training large language models, using reinforcement learning or similar techniques More ❯

information using data visualization techniques Qualifications/Requirements: A master's degree (or equivalent) in a numerate discipline such as Statistics, Machine Learning, Computer Science, Engineering, or Physics. A doctorate is a plus but not required Mid-level professional with 2-4 years of ML/AI experience, typically at an Analyst level role or external equivalent A scientific approach More ❯

end and across multiple layers of data and analytics engineering What we are looking for: Essential Master's degree in Computer Science, Mathematics, Statistics, or a related quantitative field. PhD is a plus Proven proficiency with SQL and Python for data extraction, analysis, and modelling Strong understanding of machine learning algorithms, predictive modelling, and data mining Excellent communication skills, with More ❯

you: We know we have high expectations, so please don't worry if you don't tick all the boxes, you'll certainly learn on the job! MSc or PhD, or equivalent experience in a quantitative field Deep theoretical knowledge of statistical methods and ML algorithms and their practical applications. Strong proficiency in SQL and Python, especially with core ML More ❯

for exciting new data science opportunities Provide direction and mentoring to more junior data scientists REQUIRED SKILLS: Degree in a quantitative field such as mathematics, statistics or data science (PhD in physics highly desirable) Experience of presenting technical concepts to stakeholders Experience of proactively contributing to the design, development, testing, and deployment of data science and AI solutions Experience and More ❯

for exciting new data science opportunities Provide direction and mentoring to more junior data scientists REQUIRED SKILLS: Degree in a quantitative field such as mathematics, statistics or data science (PhD in physics highly desirable) Experience of presenting technical concepts to stakeholders Experience of proactively contributing to the design, development, testing, and deployment of data science and AI solutions Experience and More ❯

look for ways to improve data science Oversee the development, deployment, and optimisation of AI/ML models. Partner with business leaders to identify key challenges and opportunities. Requirements: PhD or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field Proven leadership experience in a data science or AI-driven organization. Proficient in Python (core More ❯

look for ways to improve data science Oversee the development, deployment, and optimisation of AI/ML models. Partner with business leaders to identify key challenges and opportunities. Requirements: PhD or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field Proven leadership experience in a data science or AI-driven organization. Proficient in Python (core More ❯

and translating analytics into action Curious, collaborative, and proactive in driving change Qualifications 7+ years in data science or analytics with a strong focus on customer behavior MSc or PhD in a quantitative field (Statistics, Data Science, Computer Science, Applied Math) Proven track record of creating measurable business value through customer-focused models and analytics Experience working in B2C, e More ❯

and translating analytics into action Curious, collaborative, and proactive in driving change Qualifications 7+ years in data science or analytics with a strong focus on customer behavior MSc or PhD in a quantitative field (Statistics, Data Science, Computer Science, Applied Math) Proven track record of creating measurable business value through customer-focused models and analytics Experience working in B2C, e More ❯

clearly to non-technical stakeholders. Requirements of the Role What You'll Need: Strong academic background in Operations Research, Applied Mathematics, Engineering, Computer Science, or related field (MSc or PhD preferred). Minimum 3 years' experience preferably in commercial area or demonstrated experience in building and deploying optimisation models in real-world business contexts. Proficiency in Python and SQL Understanding More ❯

and their mathematical underpinnings, and are able to translate this into business implications for our clients. Have strong project management skills What You'll Bring Master's Degree or PhD with significant relevant experience providing advanced analytics solutions. The degree should be in computer science, applied mathematics, statistics, machine learning, or a related data centric field. 2 years+ of relevant More ❯

the skills and values of the next generation of Cisco data scientists. Minimum Qualifications 6+ years of Advanced Analytics experience with a Masters Degree or 4+ years with a PhD in a Mathematics or Applied Mathematics, Operations Research, Economics, Econometrics, Physics, Computer Science, Engineering, or related quantitative field. Strong foundation in AI and machine learning, with a theoretical and practical More ❯

it takes to discern the hidden patterns and signals within the markets. Company: OPUS (Rec.) Qualifications: Useful skills to possess: Commercial data science experience Machine learning SQL Msc or PhD preferred in either of the following areas, statistics, physics, mathematics, Computer Science or Engineering Creating customer segmentation models knowledge of SAS Data Mining R/Python Proficient user MS Office More ❯