1 to 25 of 210 Remote PhD Jobs

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 ❯

Kaggle or other data science competitions Experience with MLOps practices (CI/CD, model monitoring, DevOps integration) Familiarity with advanced NLP frameworks such as spaCy or Transformers MSc or PhD in a numerate discipline Financial services or banking experience Why Join Capco Deliver high-impact technology solutions for Tier 1 financial institutions Work in a collaborative, flat, and entrepreneurial consulting More ❯

looking to step up into a role with real autonomy, and to shape how data is handled across the company. What experience youll need to apply: A Masters or PhD in Computer Science, Data Science, Bioinformatics, or similar/equivalent experience 4+ years in a data engineering or similar role, building and maintaining data pipelines Experience with various cloud platforms More ❯

Report on execution performance and provide insights to the Head of Quantitative Trading Mentor junior quantitative researchers and analysts on execution methodologies Qualifications Education & Experience Advanced degree ( Masters or PhD) in Mathematics, Physics, Statistics, Computer Science, Financial Engineering, or related quantitative field 3+ years of experience in execution algorithms, electronic trading, or related quantitative finance roles Proven track record of More ❯

managing unstructured datasets with strong analytical skills. Demonstrated project management and organizational skills. Proven ability to support and collaborate with cross-functional teams in a dynamic environment. Preferred Qualifications: PhD and research experience in Computer Science, Statistics, Informatics, Physics, Math, Neuroscience or another quantitative field. Scientific publications in top-tier AI and neuroscience conferences (NeurIPS, ICLR, ICML, AAAI, CVPR, Cosyne More ❯

managing unstructured datasets with strong analytical skills. • Demonstrated project management and organizational skills. • Proven ability to support and collaborate with cross-functional teams in a dynamic environment. Preferred Qualifications: • PhD and research experience in Computer Science, Statistics, Informatics, Physics, Math, Neuroscience or another quantitative field. • Scientific publications in top-tier AI and neuroscience conferences (NeurIPS, ICLR, ICML, AAAI, CVPR, Cosyne More ❯

optimal performance. Experience leading Enterprise Search projects at both the architectural and program level. Experience working with monitoring tools that integrate into service management. Bachelor's, Master's or PhD in Computer Science or related engineering field preferred, or equivalent combination of education, training, and experience. Experience working to deliver and complete professional services engagements. Experience as a public speaker More ❯

for testability and readability • Demonstrated ability to design the architecture of software systems to ensure they achieve functionality, performance, scalability, and maintainability requirements • Degree (Bachelor's, Master's, or PhD) in Computer Engineering or Computer Science • Minimum 15 years' experience in software engineering-related discipline • Active TS/SCI security clearance • US CITIZENSHIP REQUIRED Preferred skills: • Experience providing technical leadership More ❯

agile rituals and related practices You Have: Minimum 3, ideally 5+ years of experience working as an ML engineer Some experience providing technical leadership on complex projects Degree, preferably PhD, in Software Engineering, Computer Science, or a similar area A proven track record of delivering complex ML projects working alongside high-performing ML, data, and software engineers using agile software 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 ❯

team roadmap and longer-term strategy for behavioural signal development. About You MSc or equivalent industry experience in a relevant field (e.g. Computer Science, Engineering, Physics, Statistics). A PhD is welcome but not required. Experience delivering production-grade data science or engineering solutions, including design, implementation, and deployment Strong proficiency in Python and SQL, with practical experience in designing More ❯

and MLOps best practices such as Trustworthy AI. Education and Experience: Bachelor's degree or equivalent in Computer Science, Data Science, Engineering, or a related field, Master's or PhD (or equivalent) highly desirable. Extensive experience in designing and implementing complex AI solutions, with a proven track record of technical leadership. Deep experience in the financial services industry. Strong communication More ❯

experience deploying Elastic Observability solutions or similar domains. Experience working on Enterprise Observability projects. Experience working with monitoring tools that integrate into service management. Bachelor's, Master's or PhD in Computer Science or related engineering field preferred, or equivalent combination of education, training, and experience. Experience working to deliver and complete professional services engagements. Experience as a public speaker More ❯

data scientists and engineers, nurturing their professional growth and impact Champion adoption of best practices in ML operations, experimentation frameworks, and data governance Key Skills Advanced degree (MSc/PhD) in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field Extensive experience in data science, with proven in leadership roles managing dynamic, multi-disciplinary teams Deep expertise in More ❯

data scientists and engineers, nurturing their professional growth and impact Champion adoption of best practices in ML operations, experimentation frameworks, and data governance Key Skills Advanced degree (MSc/PhD) in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field Extensive experience in data science, with proven in leadership roles managing dynamic, multi-disciplinary teams Deep expertise in More ❯

postgresql or mysql Data Science techniques - Machine Learning, Artificial Intelligence, Statistical algorithms Cloud technologies - AWS or GCP What We'd Love: Experience of working across functional teams Masters or PhD in applied data science. Where You'll Be : London, UK. Flexible remote working policy. The Eutelsat Group treats the protection of personal data submitted to it seriously. By submitting this More ❯

data scientists and engineers, nurturing their professional growth and impact Champion adoption of best practices in ML operations, experimentation frameworks, and data governance Key Skills Advanced degree (MSc/PhD) in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field Extensive experience in data science, with proven in leadership roles managing dynamic, multi-disciplinary teams Deep expertise in More ❯

data scientists and engineers, nurturing their professional growth and impact Champion adoption of best practices in ML operations, experimentation frameworks, and data governance Key Skills Advanced degree (MSc/PhD) in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field Extensive experience in data science, with proven in leadership roles managing dynamic, multi-disciplinary teams Deep expertise in More ❯

data scientists and engineers, nurturing their professional growth and impact Champion adoption of best practices in ML operations, experimentation frameworks, and data governance Key Skills Advanced degree (MSc/PhD) in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field Extensive experience in data science, with proven in leadership roles managing dynamic, multi-disciplinary teams Deep expertise in More ❯

for junior staff members QUALIFICATIONS, EXPERIENCE, TECHNICAL AND PERSONAL SKILLLS Essential qualifications Master's degree in (medical) statistics, biostatistics, mathematics, epidemiology, public health, health economics or a related discipline PhD in a subject related to health services research or statistics is desirable Essential skills, knowledge and personal behaviours At least 5 years prior relevant experience working as a statistician in 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 ❯

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 ❯

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 ❯

the-art research and applying emerging AI techniques to solve business problems. • Ability to supervise sub-teams, lead projects, mentor junior colleagues and lead on technical standards maintenance. Desirable: • PhD degree or equivalent qualifications and experience in computer science, machine learning, artificial intelligence, or a closely related field. • Experience in applying Natural Language Processing and/or Speech Technology techniques More ❯

the audience, and proactive sharing of findings. Actively involved in business networking and able to communicate complex ideas across the business simply and effectively. Desired qualifications: Master's or PhD in Computer Science, Operations Research, Statistics, or related quantitative disciplines. Knowledge in (any or all) User Modelling, Representation Learning, Large Language Models (LLM) Prior experience in e-commerce or at More ❯