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, RecSys, Large Language Models (LLM) Prior experience in e-commerce or More ❯
engines and leverage third-party data enhancements. Collaborate with stakeholders to translate business challenges into data-driven solutions Reporting back and presenting to non-technical clients Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Communication skills – able to translate complex insights into business value Strong experience More ❯
demonstrable experience of managing and growing a team, deriving analytical insights from a variety of business contexts, and communicating those insights to senior business stakeholders. Ideal Profile : Masters or PhD in Statistics, Mathematics, Computer Science, or related quantitative field 7+ years of experience driving data science solutions and 3+ years of hands-on experience managing a team of data scientists More ❯
an eagerness to build upon this foundation knowledge through independent learning and interactions with experienced colleagues Strong lean/agile and curios mindset Preferred Qualifications: MSc degree preferred, or PhD in advanced statistics, econometrics, or mathematics Experience working within an End-user computing (EUC) environment Compensation/Benefits Information: (This section is only applicable to US candidates) S&P Global More ❯
modeling, time-series analysis, and/or machine learning techniques Strong programming skills in Python, C++, or similar; experience working with large datasets and research infrastructure Master’s or PhD in a quantitative field (e.g., Mathematics, Computer Science, Physics, Engineering, Statistics) Excellent communication skills and ability to work in a collaborative, performance-driven environment More ❯
modeling, time-series analysis, and/or machine learning techniques Strong programming skills in Python, C++, or similar; experience working with large datasets and research infrastructure Master’s or PhD in a quantitative field (e.g., Mathematics, Computer Science, Physics, Engineering, Statistics) Excellent communication skills and ability to work in a collaborative, performance-driven environment More ❯
related field. Experience: 4+ years of C/C++, Java or Python software development experience, Or M.Sc. plus 2+ years of experience in implementing ML models and applications, Or PhD in a relevant area. Strong understanding of various Artificial Intelligence and Machine Learning algorithms and techniques. Extensive experience in building AI based applications Strong understanding of Software Development best practices More ❯
in a clear and concise manner. Stay up to date with the latest industry trends and technologies. Contribute to analytics innovation and integration within the organisation. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Experience in automation and optimisation/pricing-related projects A generalist data More ❯
into robust, production-level code-primarily in C++. Collaboration : Work across multiple business lines, ensuring models meet both research needs and operational demands. Knowledge and Experience Master's or PhD degree in Computer Science, Mathematics, Statistics, or a related field. Expertise in advanced mathematics (stochastic calculus, probability theory) Exceptional quantitative and analytical skills. Extensive experience in C++ and Python Strong More ❯
regulators, risk committees and boards. Interact with risk departments to provide support for existing clearing house quantitative models. Interact with technology groups for production implementation design. Knowledge and Experience PhD or MSc in Physics, Mathematics, Quantitative Finance, Statistics, or a relevant scientific field. 2+ years of work experience in quantitative finance fields from financial institutions, with proven record designing or More ❯
provide support for existing clearing house quantitative models. Interact with technology groups for production implementation design. Contribute to the core quantitative library used by the organization. Knowledge and Experience PhD or MSc in Physics, Mathematics, Quantitative Finance, Statistics, or a relevant scientific field. Strong mathematical knowledge of financial derivatives pricing and risk management models. Excellent quantitative, analytical and problem-solving More ❯
large data sets, experience working with distributed computing tools like Map/Reduce, Hadoop, Hive, Pig etc. Advanced use of Excel spread sheets for analytical purposes An MSc or PhD in Data Science or an analytical subject (Physics, Mathematics, Computing) or other quantitative discipline would be handy. The position is based in the Docklands London. This is a 3 to More ❯
and tools. Collaborate with team members to deliver high-quality solutions. Degree in a quantitative discipline - Engineering, Mathematics, Physics, Chemistry, Computer Science or related fields (Bachelor's, Master's, PhD). Strong programming skills, preferably with some experience working with Python, C# and/or JavaScript. Knowledge of database systems and SQL. Excellent problem solving and data analysis skills. Ability More ❯
other areas of MR development. This role is within the MR Reconstruction software group located in Best, The Netherlands. You're the right fit if: Minimum Required Qualifications Education PhD/Master's Degree in Mathematics, Physics, Electrical Engineering, Computer Science Engineering or equivalent . Preferred Qualifications Knowledge of MR physics and MR imaging techniques Experience with MRI reconstruction algorithms More ❯
a level suited to the audience QUALIFICATIONS Minimum of 8 years of related experience with a Bachelor's degree; or 6 years and a Master's degree; or a PhD with 3 years experience; or equivalent experience. Technical acumen to develop and maintain ML systems used by the ML team. Experience with ML systems that are cloud-based and frequently More ❯
and foster a culture of technical excellence and collaboration. Who We’re Looking For: Exceptional candidates with an outstanding academic and professional track record. A degree (Master’s or PhD preferred) in a quantitative discipline (e.g., Mathematics, Physics, Computer Science) from a top-tier university. Proven experience developing successful quantitative models—ideally in HFT and/or transaction cost analysis. More ❯
inquisitive and having the desire to learn new skills are essential to thrive in our fast-paced multi-disciplinary environment. Company: Signal Qualifications: Essential skills and qualifications: MSc or PhD in a field related to Text Analytics (e.g. natural language processing, information retrieval, machine learning or similar), or equivalent commercial experience; Detailed knowledge of one or more of the following More ❯
in a clear and concise manner. Stay up to date with the latest industry trends and technologies. Contribute to analytics innovation and integration within the organisation. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Experience in automation and optimisation/pricing-related projects A generalist data More ❯
Guildford, Surrey, United Kingdom Hybrid / WFH Options
Ecm Selection
strong academic background, with a 1st or 2.1 in Computer Science, Engineering or other relevant discipline, and top A-level or equivalent grades in mathematics and physics. A relevant PhD (or equivalent experience) in a scientific or engineering discipline. Proficiency in programming languages such as C, C++, or Fortran. Strong mathematical and analytical problem-solving skills. Desirable Skills: Experience with More ❯
Cambridge, Cambridgeshire, United Kingdom Hybrid / WFH Options
Cadence Design Systems
related field plus 4+ years of C/C++, Java or Python software development experience, Or M.Sc plus 2+ years of experience in implementing ML models and applications, Or PhD in a relevant area. Strong understanding of various Artificial Intelligence and Machine Learning algorithms and techniques. Extensive experience in building AI based applications Strong understanding of Software Development best practices More ❯
practices for data mining, ML model development, validation and inference. Building price optimisation models Stay up-to-date on the most recent advances in AI and machine learning Requirements: PhD Degree in Computer Science, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Strong communication skills, with the ability to work effectively in a fast-paced, collaborative More ❯
and foster a culture of technical excellence and collaboration. Who We’re Looking For: Exceptional candidates with an outstanding academic and professional track record. A degree (Master’s or PhD preferred) in a quantitative discipline (e.g., Mathematics, Physics, Computer Science) from a top-tier university. Proven experience developing successful quantitative models—ideally in HFT and/or transaction cost analysis. 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 ❯
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 ❯
focused but may include offensive capabilities. **Please note, as projects are defence related, you will need to qualify for UK security clearance to be considered for this role.** Requirements: PhD or equivalent professional experience in a field that demonstrates significant understanding of both computer science and advanced statistical or numerical methods Practical experience applying ML techniques to solve real-world More ❯
