1 to 25 of 51 Model Validation Jobs in the Thames Valley

What You’ll Be Doing: Designing and building machine learning models to solve real-world problems Carrying out full data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and AI techniques to generate actionable insights Contributing to experimental research, model prototyping, and A/B testing Presenting findings clearly to both technical … a related discipline Strong programming skills in Python (e.g. NumPy, pandas, scikit-learn, matplotlib); R is also welcome A solid understanding of core machine learning concepts, data wrangling, and model evaluation Proficiency with SQL and experience handling large datasets A passion for solving complex problems using data and a continuous learning mindset Excellent communication and collaboration skills Full right More ❯

learning, and data science, particularly in the LLM field, and share knowledge with the team. Contribute to the creation of AI research pipelines, ensuring high data quality standards, rigorous model validation, and comprehensive performance evaluation. Mentor and guide junior engineers and researchers, fostering a culture of innovation and collaboration. Qualifications Master's degree in Computer Science, Artificial Intelligence More ❯

risk functions. Deliver scalable and efficient analytics infrastructure using C++ and Python , aligned with front-office requirements. Work closely with trading, structuring, and risk teams to provide high-performance model-driven tools and analytics. Contribute to the ongoing enhancement and modernization of the quantitative library and risk analytics platform. Ensure full documentation of models in accordance with internal governance … and regulatory expectations. Engage with model validation and risk control teams throughout the model approval and lifecycle management process. Provide analytical support and ensure robustness of models in production environments. Required Qualifications & Experience: Advanced degree (MSc/PhD) in a quantitative discipline such as Mathematics, Physics, Financial Engineering, or Computer Science. Demonstrated experience in a front-office … quantitative analytics or quant development role within a financial institution. Strong understanding of derivative pricing theory and volatility modelling techniques. Proficiency in C++ and Python for model development and numerical computation. Familiarity with structured software development practices, including version control, testing, and continuous integration. Excellent problem-solving skills, a high level of attention to detail, and strong written and More ❯

drive strategic marketing decisions—optimizing media budgets, forecasting business performance, and supporting commercial objectives through rigorous analytical frameworks. Key Responsibilities Lead the full econometric modelling lifecycle: data extraction, transformation, model building, validation, and business interpretation. Build and refine Marketing Mix Models (MMM) with robust statistical foundations and clear KPI linkages. Generate actionable outputs such as ROI analyses, response … curves, and optimization tools. Perform scenario simulations for budget allocation, marketing strategy, and planning. Conduct model diagnostics, ensure methodological robustness, and continuously improve model accuracy. Required Skills & Experience Demonstrable experience in Marketing Mix Modelling (MMM) and econometrics, ideally within FMCG or related sectors. Strong command of Python and pandas; working knowledge of R is also a plus. Proficient More ❯

models and advanced analytics solutions. Collaborate cross-functionally to identify and prioritize data science opportunities. Build and mentor a high-performing data science team. Establish best practices for experimentation, model validation, and deployment. Communicate complex data insights to technical and non-technical stakeholders. Stay current with trends in data science, machine learning, and financial technologies. Requirements Bachelor’s More ❯

through advanced econometric modelling—including Bayesian Marketing Mix Modelling (MMM), Multi-Touch Attribution (MTA), and data-driven optimization strategies. Key Responsibilities Lead and manage data workflows: data extraction, transformation, validation, and exploratory analysis to ensure modelling-readiness. Build and refine Bayesian MMM models that capture the drivers of key marketing and commercial KPIs. Use Python (and optionally R) to More ❯

for our Financial Services client. Key Responsibilities End-to-End AI Solution Delivery: Lead AI/ML initiatives from conceptual design to production deployment, including problem scoping, data acquisition, model development, validation, deployment, and monitoring. AI-Driven Marketing Insights: Develop predictive and generative models to support audience segmentation, personalization, channel optimization, lead scoring, and campaign measurement. Collaborative Development … Work closely with marketing strategists, data analysts, data engineers, and product owners to define use cases and deliver scalable solutions. Model Deployment & Monitoring: Deploy models using MLOps practices and tools (e.g., MLflow, Airflow, Docker, cloud platforms) ensuring performance, reliability, and governance compliance. Innovation & Research: Stay current on advancements in AI/ML and proactively bring forward new ideas, frameworks … techniques that can be applied to marketing use cases. Data Strategy: Collaborate with data engineering teams to ensure the availability of clean, structured, and enriched data pipelines required for model training and inference. Required Qualifications Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, Applied Mathematics, or a related field. 4+ years of experience in More ❯

Pharmaceutical domain At least 2 years of experience in data engineering, including one or more of the following: relationship databases, data warehousing, data schemas, data stores, data modeling, testing, validation, and analysis Full professional proficiency in English Strong analytical and logical thinking Excellent communication and collaboration skills Nice to have: SAS programming experience with SQL programming SAS programming experience … Programming Department Knowledge of CDISC SDTM Experience with CluePoints RBM system Knowledge of statistical methods and techniques for analyzing data Experience using Machine Learning techniques and products testing and validation Additional Information What we offer: We value your time, so the recruitment process is as quick as 3 meetings Extensive onboarding and mentorship programs to prepare you for your More ❯

domain At least 2 years of experience in data engineering area including one or more of the following: relationship databases, data warehousing, data schemas, data stores, data modeling, testing, validation and analysis Full professional proficiency in English Strong analytical and logical thinking Communication and collaboration skills Nice to have: SAS programming experience with SQL programming SAS programming experience in … BiostatisticsDepartmentor Clinical Programming Department Knowledgeof CDISC SDTM Experience with CluePoints RBM system Knowledge of statistical methodsand techniques for analyzing data Experienceusing Machine Learning technics andproducts testing and validation Additional Information What we offer: We value your time so the recruitment process is as quick as 3 meetings We'll prepare you to do your job at highest quality level More ❯

you will be responsible for creating and curating the datasets for training and evaluating our ML planner components. You will build effective data analysis tools and work across ML model development and evaluation to achieve desired AV driving behaviours. You will also actively participate in operational support for your team, ensuring the root causes of operational issues are identified … You will: Take a leading role within your team to develop and deploy state of the art data pipelines for our machine learning models. Design and implement metrics for model validation and continuous monitoring in production. Leverage the Oxa Metadriver platform to generate synthetic data, and train effective and robust driving policies, Build cloud tooling and infrastructure in More ❯

you will be responsible for creating and curating the datasets for training and evaluating our ML planner components. You will build effective data analysis tools and work across ML model development and evaluation to achieve desired AV driving behaviours. You will also actively participate in operational support for your team, ensuring the root causes of operational issues are identified … You will: Take a leading role within your team to develop and deploy state of the art data pipelines for our machine learning models. Design and implement metrics for model validation and continuous monitoring in production. Leverage the Oxa Metadriver platform to generate synthetic data, and train effective and robust driving policies. Build cloud tooling and infrastructure in More ❯

or wastage risks. Build and iterate on AI-powered decision support tools to optimize inventory management and buying policies. Design and execute experiments (A/B tests) to validate model performance and drive improvements in stock ordering strategies. Collaborate with Category and In-Stock teams to evolve the Stock Ordering Tool using intelligent algorithms and real-time data. Analyze … as Mathematics, Statistics, Computer Science, Data Science, or Engineering. Benefits: Comprehensive medical and dental insurance. Equity participation through company shares/RSUs. Annual bonus tied to performance. Hybrid work model (3 days in office, flexible remote days). Exclusive employee discounts. Clear path for career progression in a high-impact, data-first team. Annual performance reviews and merit-based More ❯

Calibrate confidence metrics with historical data and measure their value to trading & risk learning models. Continuously improve these models based on real-time data and feedback from trading activities. Model Communication: Explain uncertainty clearly, turning numbers into concise narratives and action-oriented alerts Broader Contributions: Build and refine statistical/ML models for short- to medium-term demand, renewables … output, and other fundamental time series. Help design feature pipelines, scenario tools and model-performance dashboards used daily by traders and analysts. Pitch in on ad-hoc analytics projects—anything from volatility clustering studies to optimisation of storage dispatch—whenever the desk needs statistical horsepower. REQUIREMENTS: Minimum of a degree in Statistics, Applied Maths, Physics or related field. Minimum More ❯

a multi-agent system. Drive Deployment and ML Operations: Collaborate with DevOps to containerise and deploy monitors with automated testing and evaluation tools. Support ML Ops development to track model health, detect drift/skew, and ensure model reliability in production. Focus on Scalability and Clean Code: Write clear, well-documented, and reusable code in line with engineering … coding skills in Python and working knowledge of SQL and cloud platforms (preferably Azure). Experience with ML frameworks such as TensorFlow or PyTorch. Understanding of ML lifecycles, including model training, validation, testing, and deployment. Exposure to tools such as LangChain, OpenAI, Alembic, and orchestration with Poetry and Mypy is a plus. It’s A Bonus If You … machine learning or related fields. Interest in secure, scalable, and ethical AI systems. The Benefits: Join an innovation-driven team working on high-impact, future-ready tech. Hybrid working model with a central London base. Exposure to emerging AI tools and systems. Competitive compensation, performance bonus, and career growth opportunities. If you're a creative and driven Machine Learning More ❯

servers, audience panels) for analysis. Statistical Analysis: Utilise econometric techniques like regression analysis, time series modelling, and panel data analysis to identify relationships between media spend and business outcomes. Model Validation and Interpretation: Evaluate the accuracy and robustness of models, interpret results, and communicate findings to stakeholders in a clear and concise manner. Provide data-driven insights to … inform media buying strategies, including channel allocation, budget optimisation, and creative testing. Advanced Analytics: Explore new data analysis techniques like machine learning to enhance model accuracy and uncover deeper insights. Your Experience and Skills: Data Science: Proficient in programming languages like Python, R, and SQL including data manipulation, data imputation, statistical modelling, and visualisation libraries. Expertise in statistical methods More ❯

advisor to clients from the outset. Join our team to help grow this offering and be part of impactful engagements encompassing (but not limited to): D&AI Strategy & Operating Model Design : Analysing client needs and developing comprehensive data strategies aligned with business objectives, including governance and sourcing strategies as well as organisational structures that enable data democratisation. D&AI … consulting experience, client-facing, or equivalent tenure in relevant industries with a focus on data and AI initiatives. Demonstrable experience in data and/or AI strategy and operating model disciplines, having been responsible for developing and delivering strategic data and/or AI/ML initiatives and defining optimal organisational structures for the Data & AI functions either within … understanding of data ecosystem components including data lakes, data warehouses, data mesh architectures, and associated architectural patterns. Strong understanding of methodologies and principles of data science and MLOps, including model development, validation, and lifecycle management. Experience in data pipeline design, ETL/ELT processes, and data integration approaches and appreciation of trade-offs associated with specific use-cases More ❯

extraction/resolution, spatio-temporal modelling. Enjoy developing models from first principles and are unbiased in your choice of modelling techniques. Experience across some of the lifecycle of a model including requirements gathering, converting these into actionable tasks, model implementation, validation and deployment. Ability to conduct research, produce conceptual models, develop prototypes and mentor others in the More ❯

analytics platform for the energy transition. It is a seamlessly integrated suite of software products allowing our users to value and benchmark any asset or portfolio, under any business model and market scenario, anywhere in the world. Widely adopted by leading energy companies and investors, the platform changes the way that energy market analytics is performed and delivered. Based … Contribute to product backlog refinement by gathering evidence and defining requirements for high-value recurring client issues, usability gaps, or additions to modelling features Define tests to ensure that model updates and features meet quality expectations before client release Apply advanced analytics techniques (e.g. statistical analysis, visualisation, sensitivity testing) to help interrogate, validate, and interpret model outputs Support … internal and external clients by answering technical product queries, analysing model behaviour, and gathering structured feedback Monitor product performance by analysing adoption metrics and client usage patterns Share learnings across Aurora's software team, and contribute to building a culture of rigorous, insight-driven product development What we are looking for Bachelor's degree and evidence of strong academic More ❯

the project specification, incorporating all drivers of KPIs, providing rationale for variables selection, understanding coefficients and contributions. Taking base models, oversee or build in additional improvements and progress the model towards finalisation Create sales effect/ROI workbook, Create response curves and optimisation charts Budget allocation. Run scenarios required to answer client objectives for the purpose of forward looking More ❯

Social network you want to login/join with: Credit Risk Model Validation Manager, Slough Location: Slough, United Kingdom Job Category: Other EU work permit required: Yes Job Details Views: 2 Posted: 31.05.2025 Expiry Date: 15.07.2025 Job Description Salary: Up to £80,000 Work Arrangement: Hybrid Location: London About the Company I am hiring a Model Validation … in London, managing portfolios across unsecured and secured lending. You will collaborate with industry experts to validate risk models using AI and machine learning techniques. The Role As a Model Validation Manager , your responsibilities include: Validating Credit Risk models such as IFRS9 (PD, EAD, LGD) Applying analytics to enhance credit risk models and review practices Validating broader risk … models, including AI, machine learning, reporting, and operational risk models Presenting validation findings to senior leadership Utilizing tools like SAS, SQL, R, and Python daily Your Skills and Experience To succeed, you should have: Strong experience with SQL and Python Proven experience validating credit risk models Financial services industry experience A degree in a quantitative field from a top More ❯

the hospitality and transportation spacce. You’ll be at the forefront of developing forecasting models, and supporting pricing strategies. This is a hands-on role where you'll own model development end-to-end—from design and testing to deployment and monitoring. Key Responsibilities Lead efforts to improve the performance and scalability of deployed forecasting models. Design and build … internal ML and forecasting libraries. Contribute to product planning by translating business objectives into measurable results. Champion best practices in model development, validation, and inference pipelines. Stay current with state-of-the-art techniques in AI and ML and apply them effectively. Work closely with technical and non technical stakeholders. What You’ll Bring PhD is highly preferred More ❯

the hospitality and transportation spacce. You’ll be at the forefront of developing forecasting models, and supporting pricing strategies. This is a hands-on role where you'll own model development end-to-end—from design and testing to deployment and monitoring. Key Responsibilities Lead efforts to improve the performance and scalability of deployed forecasting models. Design and build … internal ML and forecasting libraries. Contribute to product planning by translating business objectives into measurable results. Champion best practices in model development, validation, and inference pipelines. Stay current with state-of-the-art techniques in AI and ML and apply them effectively. Work closely with technical and non technical stakeholders. What You’ll Bring PhD is highly preferred More ❯

the hospitality and transportation spacce. You’ll be at the forefront of developing forecasting models, and supporting pricing strategies. This is a hands-on role where you'll own model development end-to-end—from design and testing to deployment and monitoring. Key Responsibilities Lead efforts to improve the performance and scalability of deployed forecasting models. Design and build … internal ML and forecasting libraries. Contribute to product planning by translating business objectives into measurable results. Champion best practices in model development, validation, and inference pipelines. Stay current with state-of-the-art techniques in AI and ML and apply them effectively. Work closely with technical and non technical stakeholders. What You’ll Bring PhD is highly preferred More ❯

A/B test experiments, optimise and deploy your models into production, working closely with software engineers. Establish automated processes for large-scale data analysis and generation, machine-learning model development, model validation and serving. Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports, and publish your work for … in Computer Science or related field (Natural Language Processing focus only) Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning Experience with LLM benchmarking Strong programming skills in Python, Java, C++, or a related language Strong skills in algorithm development to solve optimisation problems Familiarity with core tools More ❯

A/B test experiments, optimise and deploy your models into production, working closely with software engineers. Establish automated processes for large-scale data analysis and generation, machine-learning model development, model validation and serving. Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports, and publish your work for … in Computer Science or related field (Natural Language Processing focus only) Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning Experience with LLM benchmarking Strong programming skills in Python, Java, C++, or a related language Strong skills in algorithm development to solve optimisation problems Familiarity with core tools More ❯