51 to 75 of 149 Predictive Modelling Jobs in the UK excluding London

analysis and visualization to translate complex, multi-dimensional datasets into high-impact, executive-ready insights, and then presenting to senior leadership. Quantitative KPI & SLO modelling to architect, establish, and continuously evolve the global KPI and Service Level Objective (SLO) frameworks for application stability, ensuring alignment with enterprise risk appetite … leverage data technologies to modernize stability governance, automate manual reporting, and eliminate operational toil. Data Proficiency: Mastery of data transformation, statistical analysis, and predictive modelling using large, complex, and unstructured datasets. Technical Proficiency: Ability to leverage advanced Excel (VBA, Power Pivot) and executive presentation tools to drive data ...

experience using BI tools such as Looker Studio or similar platforms. Knowledge of statistical analysis techniques including cohort analysis, experimentation, regression, survival analysis, and predictive modelling. Experience developing LTV, retention, or churn analysis frameworks. Excellent problem-solving skills and attention to detail. Ability to communicate complex insights and influence … data-driven organisation. How to Apply If you are a Senior Data Analyst looking to work on customer analytics, subscription performance, and predictive modelling in a high-impact environment, apply today through Harnham to find out more. ...

datasets. Experience with BI and data visualisation tools. Strong knowledge of customer lifecycle, retention, LTV or churn analysis. Understanding of statistical analysis, experimentation and predictive modelling. Strong communication skills with the ability to turn analysis into actionable recommendations. Python or R and digital subscription experience would be advantageous. What ...

data science or advanced analytics. Advanced practical capability in Python and SQL. A strong grounding in statistics and machine learning. Experience developing and validating predictive models. Experience with customer, transactional, behavioural or digital data. Understanding of experimentation and statistical measurement. Analytical curiosity paired with pragmatic commercial judgement. The ability ...

Power Query) Exposure to ML/AI concepts (e.g. scikit‐learn, TensorFlow) or an interest in preparing data for LLMs, RAG architectures or predictive models Experience with Docker and/or Terraform (desirable) What You Will Learn & What Liquidline Can Offer You Being a part of Liquidline is more ...

design data solutions that actually help them. Drive Performance: You will develop a performance management framework, lead reporting that influences strategic decisions, and create predictive models to anticipate customer needs. Who You Are You are a proactive, detail-driven analyst who combines technical expertise with a customer centric mindset. ...

following education, experience and skills Minimum Experience/Skills Required: Bachelor's degree in quantitative area Minimum of 8-10+ years experience applying predictive modeling techniques such as ML, decision trees, ensemble learning, neural networks etc, and data transformation such as data cleansing and integration, fuzzy matching, etc. ...

with 2-3 days per week onsite The Opportunity ShareForce is seeking a hands‐on Data Science Lead to take ownership of four established predictive models and build a mature, self-sufficient internal data science capability. This newly created leadership role will oversee the transfer of technical knowledge … decisions, and contribute credible evidence of progress and value to strategic and due diligence discussions. Key Responsibilities Take end-to-end ownership of four predictive models, covering development, validation, deployment, monitoring, documentation and optimisation. Remain technically hands‐on, working directly with data, code and modelling tools to resolve ...

business functions to drive performance against strategic targets Identifying opportunities to enhance existing datasets and improve data quality Delivering advanced analytical projects using statistical modelling techniques Supporting process optimisation through data-led decision making Defining and delivering analytics strategy within your area of expertise Promoting best practices and continuous … initiatives Your Skills & Experience Strong commercial experience within marketing or customer analytics Advanced SQL skills and experience with Python or R Expertise in statistical modelling techniques such as regression analysis, clustering, and predictive modelling Experience leading analytical projects from concept through to implementation Ability to communicate complex ...

Overview We are seeking a highly skilled AI Engineer to design, build, and deploy advanced AI and machine learning solutions. The role involves developing predictive models, implementing deep learning architectures, and integrating AI capabilities into enterprise systems. You’ll work closely with data scientists, engineers, and business leaders ...

adoption and integration of AWS/Azure architecture services, and collaborating with data engineers to prepare and deliver raw data for prescriptive and predictive modelingAssessing and advocating data management technologies and practices eliminating gaps between the current state and a well-targeted future stateInterpreting and delivering impactful strategic plans ...

within Markerstudy Retail, so will benefit from the support and expertise of the Personal Lines retail pricing team. You’ll provide technical leadership on modelling and optimisation, champion best practices, and coach team members to introduce and embed sophisticated personal lines methodologies across our commercial products. Ultimately … pricing capability and ensuring we stay ahead in a fast moving market. What you’ll do Lead the development and maintenance of predictive models (GLMs) and price optimisation techniques, including machine learning algorithms (GBM), Lifetime Value models (LTV), and fair pricing principles. Provide technical leadership on WTW Radar ...

usage. Contribute to the development of scalable prototypes and production‐ready solutions. Ideal Candidate Hands‐on experience with AI/ML tools (e.g. NLP, predictive modelling, process automation). Familiarity with cloud platforms (AWS, Azure, or GCP). Strong problem‐solving and collaboration skills. Ability to communicate technical ...

analysts, stakeholders, and business teams to understand information and reporting requirements. Translate business needs into effective data structures and analytical solutions. Enable advanced analytics, predictive modelling, reporting, and business intelligence capabilities. Support the development of enterprise dashboards and data-driven decision-making. Cloud & Emerging Technologies Design and maintain ...

established data and AI business focused on developing innovative machine learning and analytics solutions that deliver meaningful real-world impact. Their platform combines predictive modelling, text analytics, and emerging AI capabilities to support complex decision-making at scale. As the organisation continues to grow, they are expanding their ...

Costa Coffee is looking for a Data Scientist to turn complex data into meaningful business insights. You’ll build predictive models, create data pipelines and deliver dashboards that influence commercial and operational decisions. Join a flexible, collaborative team moving toward a new UK-based Support Centre in St Albans. ...

transforming scientific datasets from multiple sourcesData Analysis and Modeling: Apply statistical and machine learning techniques to analyse scientific data, identify trends, and develop predictive models for domain-relevant properties and behavioursOntology Development and Classification: Develop and maintain a comprehensive scientific ontology and classification system to enable efficient searching ...

real-time streaming of data. Evaluate business needs and objectives. Support implementation of data governance requirements. Facilitate pipelines, which prepare data for prescriptive and predictive modelling. Working with domain teams to scale the processing of data. Identify opportunities for data acquisition. Combine raw information from different sources. Manage ...

real-time streaming of data. Evaluate business needs and objectives. Support implementation of data governance requirements. Facilitate pipelines, which prepare data for prescriptive and predictive modelling. Working with domain teams to scale the processing of data. Identify opportunities for data acquisition. Combine raw information from different sources. Manage ...

develop computer vision systems for the transformation pipeline, validation of phenotyping and automation tools, and performance optimization. Lead the data strategy and validation of predictive ML models to optimize transformation efficiency and regeneration success. Partner with AIR and data engineering teams to establish robust data pipelines for predictive modelling using multilayer phenotyping and automation data in high‐throughput transformation pipelines. Provide scientific and project leadership to researchers and engineers in applied AI/ML and automation engineering within a matrix team structure. Co‐develop and manage project plans, timelines, and reporting frameworks to ensure delivery ...

transform raw, unstructured data into usable formats for model training and analysis. Develop and refine features from raw data to enhance the performance of predictive models. Data Visualisation: Collaborate with key stakeholders to translate complex model outputs into actionable insights through impactful data visualisations. Add to our existing … Model Selection/Training/Tuning Experience in utilising data to drive insights related to football-specific questions. Highly skilled in advanced statistical and modelling techniques. Experience with football-specific datasets, including but not limited to: event data, optical tracking data, broadcast tracking data, GPS data. Experience managing complex ...

tuning Experience building ETL pipelines and querying APIs using tools such as Airflow or dbt, and Git-based version control Experience develop ing predictive models and quantitative analyses that support intelligence assessments and operational decision-making Experience applying NLP or text mining to reporting and open-source content Experience … tuning Experience building ETL pipelines and querying APIs using tools such as Airflow or dbt, and Git-based version control Experience develop ing predictive models and quantitative analyses that support intelligence assessments and operational decision-making Experience applying NLP or text mining to reporting and open-source content Experience ...

This role combines advanced modelling, pricing expertise, and oversight of pricing systems to shape strategy, strengthen governance, and enhance analytical capability. Operating with a high degree of autonomy, you’ll own end-to-end initiatives, influence senior stakeholders, and provide technical leadership and mentorship across the function. Location: London … discount strategy and governance Design tools and frameworks to support pricing decisions for high-value and high-risk segments Apply advanced analytics, including elasticity modelling, to inform pricing strategy and planning Partner with underwriting and commercial teams throughout planning cycles to enable data-driven decisions Provide technical mentorship ...

unstructured data into actionable strategic directions that drive our core business forward. You will partner closely with Product, Engineering, Marketing, and Operations to build predictive frameworks, and discover growth opportunities. Key Responsibilities Experimentation & A/B Testing: Design, execute, and analyze rigorous A/B and multivariate tests … measure feature performance, user retention, and business impact. Predictive Analytics & Machine Learning: Build, validate, and maintain scalable predictive models (e.g., churn, forecasting, customer lifetime value (CLV) and user segmentation) to guide business decisions. Exploratory Data Analysis: Deep dive into large, complex datasets to identify trends, user behavioral patterns ...

role involves building a digital housing data model, translating findings for senior leaders, embedding with housing teams, and developing a performance framework with predictive models. Applicants should hold a degree in Data Science or related field and possess strong Power BI, SQL, and Google Sheets skills; 37 hours ...