1 to 25 of 59 Model Validation Jobs in the North of England

and measurable outcomes Demonstrate system-level thinking, considering architectural choices, data dependencies and integration across the wider data platform Develop and maintain production-grade ML systems including retraining strategies, model lifecycle management, monitoring and alerting Act as a trusted technical authority, reviewing and challenging project design, methodology, and outputs Drive adoption of CI/CD practices, unit testing, and … for tooling, technologies and approaches that support scalable, sustainable data science delivery Mentor and develop less experienced data scientists, fostering technical and professional growth Champion ethical AI, explainability and model governance throughout the lifecycle of our solutions Contribute to a culture of continuous learning, experimentation and data-informed decision making Skills and Qualifications: We are looking for those who … e.g. logistic regression, random forest, XGBoost, and modern deep learning techniques (e.g. transformers, transfer learning, reinforcement learning) Proven ability to lead technical direction across projects or domains Expertise in model validation, explainability, governance and ethical AI principles Advanced proficiency in Python (e.g. Scikit-learn, TensorFlow/PyTorch) and SQL, plus familiarity with ML engineering and MLOps practices Nice More ❯

actionable insights for stakeholders. Collaborate with cross-functional teams including marketing, merchandising, and supply chain. Mentor and support junior data scientists and analysts. Promote best practices in data science, model validation, and experimentation (e.g., A/B testing). Key Requirements: Proven experience (5+ years) in a data science role, preferably in retail or e-commerce sectors. Strong More ❯

solve business problems but do so optimally. Additionally, you're not just building and validating models – you’re deploying them as code to applications and processes, ensuring that the model(s) you've selected sustains its business value throughout its lifecycle. Your expertise doesn't stop at data; you'll become intimately familiar with our business processes and have More ❯

PATTERN: Hybrid, 40% (or two days) in an office site. An excellent opportunity for a highly motivated candidate to join the newly established Markets & AI Modelling team within the Model Risk Office (MRO) at Lloyds Banking Group. This role offers an exciting opportunity to be part of a dynamic and evolving AI team, providing considerable scope for personal and … professional development. Our Purpose: Better Models, Better Decisions, Better Outcomes. Job Description You will join a dedicated team responsible for the independent review, analysis and validation of AI/GenAI models, empowering the Bank to embrace innovative technology while efficiently handling associated risks. In addition: Assist with independent validation and periodic reviews of AI and GenAI models, ensuring … robust, fair, explainable, and aligned with applicable regulations. Engage with a diverse array of use cases, improving your technical expertise across the LBG modelling landscape and throughout the entire model lifecycle, from development to monitoring and maintenance. Develop benchmark models and conduct quantitative analysis/recoding, predominantly using Python/GCP. Review model documentation to evaluate the soundness More ❯

learning, statistical, optimisation and econometric methods to business problems. You'll contribute to the research and implementation of new approaches to address complex problems and perform data analysis and model validation. You'll also have the opportunity to present results to both internal teams and clients. What you'll be working on Developing innovative methods to exploit dunnhumby's … world class Price & Promotions capabilities Supporting our high-performing Price & Promotions experts by implementing new capabilities with significant business impact Performing exploratory data analysis and model validation What we expect from you Master's degree/PhD in Computer Science, Machine Learning, Applied Statistics, Physics, Engineering or related field Strong mathematical and statistical skills Experience with Python, Spark More ❯

option positions. Build and refine Monte Carlo simulation tools for portfolio scenario simulation. Create, calibrate, and implement multifactor models for forward price simulation. Help build and validate gas storage model for pricing storage assets and swing structures. Contribute to the methodology for modelling volatility and cross-commodity correlations. Collaborate with structurers and other stakeholders to integrate models into existing More ❯

option positions. Build and refine Monte Carlo simulation tools for portfolio scenario simulation. Create, calibrate, and implement multifactor models for forward price simulation. Help build and validate gas storage model for pricing storage assets and swing structures. Contribute to the methodology for modelling volatility and cross-commodity correlations. Collaborate with structurers and other stakeholders to integrate models into existing More ❯

option positions. Build and refine Monte Carlo simulation tools for portfolio scenario simulation. Create, calibrate, and implement multifactor models for forward price simulation. Help build and validate gas storage model for pricing storage assets and swing structures. Contribute to the methodology for modelling volatility and cross-commodity correlations. Collaborate with structurers and other stakeholders to integrate models into existing More ❯

Job Description Role Summary Aubay UK is seeking an experienced Quantitative Analyst/Researcher to join our team. The ideal candidate will bring extensive expertise in energy commodities trading and quantitative modelling, paired with an advanced academic background in a More ❯

sales engagements performing a range of tasks from supporting a technical sales strategy for a new client, communicating the value of our software towards industry challenges, software installs, process model design, workflow design, data manipulation, and problem solving. Technical teaching and consulting are also part of the job. Key Responsibilities Work with subject experts from operations, manufacturing, and business More ❯

process maps and target operating models to enhance clarity and efficiency. Data analysis and definition, e.g. data-led insights, development of data dictionaries and data models . Supporting the validation of solutions delivered against acceptance criteria, through test planning, execution, coordination, etc. Partner ing with Architects or Development teams to produce appropriate design specifications Continuously review and assess solution More ❯

be given to candidates with a strong educational background and relevant certifications. Skills: Strong foundation in statistics and programming (R/Python). Experience with data preparation, visualisation, and model building. Knowledge of big data platforms (Hadoop, Spark) and SQL/NoSQL databases. Experience: 3+ years of experience as a Data Scientist or in a related role. Typical Responsibilities … and collecting the data required Manipulating, transforming, and cleaning the data A data scientist must deal with data anomalies such as missing values, outliers, unbalanced data, and data normalisation. Model building: This stage is the core of the data science execution, where different algorithms are used to train the data and the best algorithm is selected. A data scientist … should know: Multiple modelling techniques Model validation and selection techniques A data scientist must understand the use of different methodologies to gain insights from the data and translate those insights into business value. Model deployment: An ML model is valuable when it’s integrated into an existing production environment and used to make business decisions. Deploying More ❯

problems or opportunities. AI Strategy: Contribute to the organisation's AI strategy by identifying opportunities for leveraging AI technologies to drive innovation, improve business processes, and enhance decision-making. Model Development and Evaluation: Contribute to the development, deployment, and evaluation of AI models and to the deployment and evaluation of off the shelf AI models. Collaboration and Stakeholder Management … with organisational goals. Prototyping, developing, and deploying machine learning applications into production. Contributing to our machine learning enabled, business-facing applications. Contributing effective, high quality code to our codebase. Model validation and model testing of production models. Presenting findings to senior internal and external stakeholders in written reports and presentations. This role is for you if: Python … for API and Model development (Machine learning frameworks and tooling e.g. Sklearn) and (Deep learning frameworks such as Pytorch and Tensorflow). Understanding of machine learning techniques. Experience with data manipulation libraries (e.g. Pandas, Spark, SQL). Git for version control. Cloud experience (we use Azure/GCP/AWS). Skills we'd also like to hear about More ❯

problems or opportunities. AI Strategy: Contribute to the organisation's AI strategy by identifying opportunities for leveraging AI technologies to drive innovation, improve business processes, and enhance decision-making. Model Development and Evaluation: Contribute to the development, deployment, and evaluation of AI models and to the deployment and evaluation of off the shelf AI models. Collaboration and Stakeholder Management … with organisational goals. Prototyping, developing, and deploying machine learning applications into production. Contributing to our machine learning enabled, business-facing applications. Contributing effective, high quality code to our codebase. Model validation and model testing of production models. Presenting findings to senior internal and external stakeholders in written reports and presentations. This role is for you if: Python … for API and Model development (Machine learning frameworks and tooling e.g. Sklearn) and (Deep learning frameworks such as Pytorch and Tensorflow). Understanding of machine learning techniques. Experience with data manipulation libraries (e.g. Pandas, Spark, SQL). Git for version control. Cloud experience (we use Azure/GCP/AWS). Skills we'd also like to hear about More ❯

Senior Machine Learning Operation Engineers to join our Data Function. You'll play a significant role within our Data Function, working on the design and implementation of machine learning model engineering frameworks, solutions, and best practices. You'll be technically proficient in machine learning and its applications; you'll demonstrate an understanding of data management and show a keen … Engineering, Architecture, and Software Development to ensure efficient operation and use of Data Science models and will facilitate the full life cycle of machine learning models from data ingestion, model development, testing, validation, deployment, to monitoring and retraining of models within different environments. If you've a strong understanding of Microsoft Azure, fluency in data science coding, and … skills Powering the business with the right tools What's involved: You'll contribute to the design and implementation of Machine Learning Engineering standards and frameworks. You'll support model development, with an emphasis on auditability, versioning, and data security. You'll implement automated data science model testing and validation. You'll assist in the optimisation of deployed More ❯

provides critical support for ESP to provide business actionable analysis to other departments of Pattern. KEY ACCOUNTABILITIES Create, manage, and analyze input and output data for/from executed model simulations using the WIS:dom suite of tools. Provide analysis of these inputs and outputs to the ESP team and external groups. Integrate large datasets into the modeling framework. … tasks and enhance existing workflows to improve input and output data for modeling accuracy and efficiency. Develop pipeline infrastructure between modeling tools that will reduce the manual nature of model execution in coordination with the transition to the HIVE. Work with multidisciplinary teams, including modelers, developers, analysts, GIS, and transmission analysts to align model data requirements that simulate More ❯

and frameworks used across the company’s data science organisation. Key Responsibilities: Design and deploy time series forecasting models with a strong focus on accuracy and scalability Improve existing model performance and drive innovation through new methodologies Develop internal ML and forecasting libraries using Python Translate product goals into technical solutions in collaboration with leadership Implement validation frameworks … unit tests, and monitoring pipelines Stay current with advances in machine learning and apply them where appropriate DevOps-first approach for model deployment Skills & Experience: Strong background in statistics, machine learning, and time series forecasting Experience with modern ML models (e.g. transformers, CNNs, attention mechanisms) Proficiency in writing production-level Python code Familiarity with CI/CD practices, testing … and model validation Confident working across teams and taking ownership of delivery Strong communication and problem-solving skills Experience in demand forecasting or operations research Familiarity with Bayesian methods, Monte Carlo simulations, or reinforcement learning Exposure to high-scale SaaS or B2C products Why Apply? Build forecasting systems powering global commercial strategies Collaborate with a world-class data More ❯

You will develop detailed and accurate forecasting models to support the customer and pricing optimisation teams to shape the future of data-driven decision making. Responsibilities Analyse and interpret model behaviour, delivering actionable insights to both internal stakeholders and external clients. Design and build robust machine learning models for demand forecasting at scale. Contribute to a growing library of … forecasting algorithms, leveraging tools from operations research, statistics, and computer science. Validate model improvements through a rigorous testing framework, similar to CI/CD practices in software development. Requirements: PhD or Masters in a related field Python GCP preferred Forecasting experience (nice to have) Data Scientist - Forecasting REMOTE We're looking for a Data Scientist to join a global … You will develop detailed and accurate forecasting models to support the customer and pricing optimisation teams to shape the future of data-driven decision making. Responsibilities Analyse and interpret model behaviour, delivering actionable insights to both internal stakeholders and external clients. Design and build robust machine learning models for demand forecasting at scale. Contribute to a growing library of More ❯

You will develop detailed and accurate forecasting models to support the customer and pricing optimisation teams to shape the future of data-driven decision making. Responsibilities Analyse and interpret model behaviour, delivering actionable insights to both internal stakeholders and external clients. Design and build robust machine learning models for demand forecasting at scale. Contribute to a growing library of … forecasting algorithms, leveraging tools from operations research, statistics, and computer science. Validate model improvements through a rigorous testing framework, similar to CI/CD practices in software development. Requirements: PhD or Masters in a related field Python Pandas, Scikit-learn, NumPy GCP Forecasting experience (nice to have) Desired Skills and Experience Forecasting, Price Optimisation, Python, Pandas #J-18808-Ljbffr More ❯

forecasting team. You will develop detailed and accurate forecasting models to support customer and pricing optimisation teams, shaping the future of data-driven decision making. Responsibilities Analyse and interpret model behaviour, delivering actionable insights to internal stakeholders and external clients. Design and build robust machine learning models for demand forecasting at scale. Contribute to a growing library of forecasting … algorithms, leveraging tools from operations research, statistics, and computer science. Validate model improvements through rigorous testing frameworks, similar to CI/CD practices in software development. Requirements PhD or Masters in a related field Proficiency in Python, including Pandas, Scikit-learn, NumPy Experience with GCP (preferred) Forecasting experience (nice to have) Additional Details Remote position available. Desired Skills and More ❯

assist the ML team. Help design, implement, and refine ML algorithms and tools. Collaborate with cross-disciplinary teams to integrate ML models into game development. Conduct experiments to improve model performance. Help train, retrain, and maintain ML systems for game development. Participate in meetings to support updates and provide insights. Requirements: BSc in Computer Science, Mathematics, or related field More ❯

years of experience in d igital or technology strategy within a large enterprise. Proficiency in d igital tools and statistical software (e.g., Python, R, SQL) for data analysis and model development. Significant experience in freight, Transport management, Warehousing or Logistics Management Familiarity with AstraZeneca's IT systems and data frameworks. Ability to work collaboratively with IT departments, aligning technical More ❯

reports to communicate findings and predictions to stakeholders, including good presentation skills. Collaboration: Work closely with commercial, operational, and technical teams to understand business challenges and deliver actionable insights. Model Evaluation & Maintenance: Continuously monitor, validate, and refine predictive models to ensure accuracy and relevance. Essential Skills & Experience Develop and implement predictive models to forecast key metrics such as sales 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 ❯