126 to 150 of 439 Predictive Modelling Jobs in the UK

cost drivers to identify trends, risks and opportunities. Develop repeatable frameworks for measuring business impact and value creation. Apply advanced analytics, forecasting and predictive modelling techniques to optimise performance. Evaluate the effectiveness of business initiatives using robust statistical methods. Translate complex data into clear, actionable recommendations for senior ...

static databases into high-value, reusable assets for internal AI/ML teams and external partners. Fuel Advanced AI/ML: Promote next-generation predictive modelling and clinical analytics by standardising and safeguarding complex healthcare datasets. What Will You Do Reporting to a Director of Engineering ...

collaborating cross-team to define data requirements, analyze product metrics, resolve data gaps. Proficiency managing large, complex datasets. Knowledge of statistics (e.g., causal inference, predictive modeling, survey methodology) to solve multi-dimensional, complex business problems. Excellent communication, executive-influence skills, with an ability to translate complex quantitative findings into ...

Media Mix Modeling, brand lift studies) for a major regional or global brand. Proficiency managing large, complex datasets. Knowledge of statistics (e.g., causal inference, predictive modeling, survey methodology) to solve multi-dimensional, complex business problems. Excellent communication, executive-influence skills, with an ability to translate complex quantitative findings into ...

clear, compelling, and concise manner using Keynote. Preferred Qualifications Advanced proficiency in statistical programming languages (e.g., Python, R) for deep-dive behavioural analysis and predictive modelling. 5+ years operating in an international or regional capacity, successfully navigating fragmented data sets across multiple geographies. Deep passion and knowledge regarding movies ...

understand problems, develop solutions and assess wider business impact. Build statistical models and machine learning approaches that turn data into decisions. Develop and deploy predictive models that solve business and operational challenges. Work with large and complex datasets from diverse sources. Create visualisations, dashboards and reporting tools that communicate ...

architecture and lifecycle of the data platform, covering ingestion, storage, analytics and machine learning Enable data science and advanced analytics use cases including predictive models, experimentation, AI and GenAI within a governed environment Ensure the platform supports secure access to structured and unstructured data, including client, matter, financial ...

organization from exploratory notebooks to reliable, automated production pipelines. Advanced Business ML (Experience in 1-2 of the following): Customer Behavior & Propensity Modeling: Building predictive models for churn, propensity-to-buy, lead scoring, or lifetime value (LTV) to directly drive targeted marketing and product interventions. Applied Forecasting: Time-series ...

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

Familiarity with or a strong interest in exploring multi-modal learning, fusion models, and integrating multi-omics data to drive the next generation of predictive modeling. Desirable/Makes you stand out: Specific experience working with whole slide images and navigating the computational challenges associated with gigapixel-resolution pathology ...

Scientist I Senior Data Scientist I Excited to uncover insights from complex data and turn them into impactful business decisions? Do you enjoy building predictive models, experimenting with advanced analytics, and solving real-world challenges with data? About the team: LexisNexis Intellectual Property Solutions (LNIP) is the global leader ...

financial institution. Qualifications Strong analytical skills and proficiency in data analytics to interpret complex datasets and support business decisions. Experience with statistics and data modelling to design robust analytical approaches and predictive models. Effective communication skills to present insights clearly and collaborate with technical and non-technical stakeholders. ...

holder will be a key member of the SBS & Cedant Facultative P&C Pricing and Modelling team supporting business written by SCOR (including SCOR Syndicate), focusing on Casualty lines of business. The work includes pricing of key individual accounts, working with Underwriters, developing and maintaining pricing models, conducting pricing … related analyses and any other ad-hoc reporting requirements. The job holder will also represent SBS Pricing & Modelling Team in any ongoing and future global projects. Responsibilities Develop, test, and maintain pricing tools: Develop, enhance and own direct & facultative casualty pricing tools and methodology in conjunction with Underwriters, Underwriting ...

learning capability, helping us better understand future risks, opportunities and operational outcomes. You'll work at the heart of our Data & AI function, developing predictive models that support smarter decision making, improve performance and create tangible value for our customers and business. About the Role As a Data Scientist … Central Data & Ai function, you will use advanced analytics, statistical modelling and machine learning techniques to extract forward-looking insights from large and complex datasets across multiple business domains. Working closely with operational and business stakeholders, you'll help define business problems, test hypotheses and develop predictive ...

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 ...

Syngenta Crop Protection seeks a Senior Data Scientist – Predictive Science to develop ML and predictive modelling approaches guiding discovery and development of Crop Protection solutions. You will connect diverse scientific datasets with business decisions, collaborating with multidisciplinary teams in an international research environment. The role offers autonomy ...

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. ...

experience to structure, transform and analyze large data, and a willingness to learn new frameworks and languages required for the task Prior experience in predictive modelling, forecast and/or causal inference Display a true passion for data and analytics as well as possessing a strong commercial awareness. ...

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 ...

Some computer vision experience (e.g., object detection/classification applied to imagery). Strong Python skills and practical experience with the machine learning lifecycle: predictive modeling, classification, evaluation, and iteration. Comfortable working independently, thinking through ambiguous problems, and explaining your reasoning and approach to others. Nice to Have Experience ...

work independently in a team environment, manage time and tight deadlines, and multitask; Nice to have: Experience delivering advanced BI opportunities such as predictive models, familiarity with Databricks. Условия: London office role with 4 days per week in the office, Monday–Thursday; Office hours ...

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 ...

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 ...

analytics, data engineering, and data science functions. While your team consumes the core platform infrastructure, you will own the implementation of analytics, customer predictive modeling, and data modeling for multiple products. Operational Agility: Navigate a "0-to-1" environment by making quick, informed decisions on data platform usage ...

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 ...