1 to 25 of 26 DemandTrendPermanent PhD Jobs in Slough

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 ❯

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 ❯

training Robotics experience, particularly in reinforcement/imitation learning Experience in cloud infrastructure (AWS, GCP, or Azure) and containerization Ability to translate research papers into deployable systems Researcher Background: PhD or advanced degree in Robotics, Machine Learning, or a similar field Experience with top-tier conferences like CoRL, ICRA, RSS, ICML, ICLR, NeurIPS Strong knowledge of reinforcement learning, imitation learning 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 ❯

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 ❯

Drive adoption of modern machine learning methods and emerging technologies (including Generative AI). Identify opportunities to improve efficiency, customer experience, and revenue through advanced analytics. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Solid background in Data Science (though this is not a hands-on technical role) Experience managing small, high-performing More ❯

refine quantitative computations, implementing auditable manual adjustments when necessary, and stay updated on industry developments in digital asset derivatives. Skills and Qualifications Educational Background: Advanced degree (Master’s or PhD) in a quantitative discipline such as Mathematics, Financial Engineering, Physics, or Computer Science. Experience: 10+ years in quantitative research, with at least 5 years in a leadership role within financial More ❯

researchers and developers in a fast-paced, science-driven team environment. Continuously innovate and improve modelling approaches to stay competitive in dynamic and data-rich sports markets. Requirements: MSc, 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 ❯

Work closely with Data Engineering to deploy models into production pipelines. Collaborate with stakeholders to define modelling goals and interpret model outcomes in a business context. 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 ❯

best practices and fostering a culture of innovation, collaboration and continuous learning. About You You’re a fit for the role of Lead Applied Scientist if your background includes: PhD in a relevant discipline or Master’s plus a comparable level of experience, Vastly experienced in hands-on experience building NLP/IR systems for commercial applications, Experience writing production More ❯

audiences. Knowledge of public sector security and compliance frameworks . Excellent communication and stakeholder management skills. Desirable Qualifications: Degree in Engineering, Mathematics, Physics , or Operations Research . MSc or PhD in a related field. Understanding of electricity markets and power system operations (e.g., dispatch/unit commitment). Experience with cloud-native solution delivery in regulated sectors. SC or DV More ❯

positioning Sova as an industry leader. Leverage insights from AI, LLMs, and psychology to drive the development of forward-thinking assessment processes. REQUIREMENTS AND SKILLS: Essential Master’s or PhD in Occupational Psychology or Psychometrics. Proven track record in developing and launching innovative psychometric assessments, across a broad range of constructs, roles, sectors and job levels. Strong psychometric and data More ❯

deploy models into production. Continuously optimise models for performance and robustness once live. Requirements: Bachelor’s or Master’s degree in Mathematics, Computer Science, Engineering, or a related field. PhD is a plus. Extensive experience in quantitative trading, preferably within a high-frequency or intraday trading environment. Proven track record of successful trading strategies across multiple asset classes (e.g., equities More ❯

formulations. Review and oversee the monitoring of the performance of models including outcomes, verification, and benchmarking. Understand and communicate the risks of model limitations to senior management. Requirements: Education: PhD/Masters in a finance/mathematical/quantitative field Prior Experience: 3-5 years in model validation of liquidity/market/counterparty risk models. Knowledge: Strong understanding and More ❯

formulations. Review and oversee the monitoring of the performance of models including outcomes, verification, and benchmarking. Understand and communicate the risks of model limitations to senior management. Requirements: Education: PhD/Masters in a finance/mathematical/quantitative field Prior Experience: 5-8 years in model validation of liquidity/market/counterparty risk models. Knowledge: Strong understanding and More ❯

and propose improvements where necessary. Contribute to validation reports that meet internal governance and regulatory expectations. Maintain ongoing monitoring of model performance, usage, and limitations. Candidate Profile: MSc or PhD in a quantitative field. Knowledge of quantitative finance, in particular stochastic calculus and numerical methods. Fluency with Microsoft Word and Excel, working with potentially large spreadsheets. Fluency with programming languages More ❯

Salary from £65-90k Base Keywords: Credit Risk Analyst, Modelling Analyst, Senior Credit Risk Analyst, Risk modeller, modelling analyst, Senior Analyst, IFRS9, IRB, Modelling, IFRS 9, Python, SAS, PhD, Quantitative, Quant, Analyst, Credit Risk Manager, Credit Risk Consultant More ❯

You’ll be: 🔹 Designing & improving execution algorithms 🔹 Building market impact & post-trade models 🔹 Working with traders, quants & engineers to push research into production They’re after: ✔️ Strong STEM background (PhD/Masters ideal) ✔️ 3+ years in execution research/TCA/market-impact modelling ✔️ Python expertise (C Rust a bonus) ✔️ Deep stats/ML knowledge & time-series analysis 👉 A chance More ❯

project planning and execution. Present research findings and strategic insights clearly to both internal stakeholders and clients. Skills and Qualifications: Postgraduate degree in a scientific field focusing on CVRM. PhD preferred or equivalent experience will be considered. Expertise and a strong interest in scientific research and CVRM, with advantageous experience in lipid-lowering therapies or obesity. Experience or strong interest More ❯

with the rest of the R&D team. Must have: Minimum of 5 years lab experience in the fields of genomics, genetics, or similar. This can be from a PhD in a relevant subject or equivalent industry experience with significant expertise in NGS. Hands-on experience in microbiome sequencing. Experience in lab management, from inventory to people and everything in More ❯

We are seeking outstanding, enthusiastic, and innovative-thinking global talents who are committed to research and teaching excellence to fill multiple tenure-track or tenured faculty positions. Faculty positions are open at four ranks: Assistant Professor, Associate Professor, Full Professor More ❯

My client is a leading Quantitative hedge fund, which deploys systematic trading strategies across multiple liquid asset classes, including equities & futures. The core of their effort is research into a wide range of market anomalies, fuelled by their unparalleled access More ❯

🚀 We're Hiring: Lead Expert - NLP & Machine Learning for Investment Metrics 📍 Location: Nice (France) or London (UK) 🏢 Company: Scientific Beta 🔬 About Us A subsidiary of SGX Group, Scientific Beta is a leading provider of enhanced systematic equity strategies grounded in More ❯

My client is behind the technology that powers some of the fastest and most reliable applications in the world. Chances are, you’ve already interacted with it today—whether you checked the weather, made a purchase with your credit card More ❯

I am working with a discreet fund in the UAE, looking to hire a Senior AI Scientist into their AI Research team, focusing on LLMs, RAGs, Agent-based systems and multimodal AI. Responsibilities: Lead the technical design and implementation of More ❯