26 to 50 of 790 Predictive Modelling Jobs

Board, in support of AIB's customer franchise and social responsibility. This role is in the Decision Analytics & Insights Team in Risk Analytics. They are responsible for development of predictive models and credit strategies to determine customer risk profiles, which are then used to automate credit decisions for the Bank's customers. The team also provide management information to … credit models to ensure they continue to operate as expected. Key accountabilities. Analysis & Investigation: Undertake and guide junior data scientists in various complex data analyses, investigations and/or modelling of business issues to improve the management, services and products of the bank; Digital protection: Access/utilise bank data within the policies and frameworks required by AIB; Predictive model development: Take a leading role in building predictive models that are focussed on impact core business elements, such as automated decisioning, credit grading, capital requirements and loss expectations; Data insights: Perform and guide junior data scientists in exploratory and ad-hoc data analysis with a view to generating insights and using this to deliver actionable recommendations to More ❯

including customer service metrics, retention analytics, financial KPIs, marketing performance, and product usage patterns Statistical Knowledge: Understanding of statistical methods for analysing operational efficiency, customer behaviour, cohort analysis, and predictive modelling for business metrics GCP Familiarity: Working knowledge of Google Cloud Platform analytics tools, particularly BigQuery for large-scale data analysis Problem Solving & Communication: Proven ability to translate More ❯

to charterers, owners, and brokers, enabling smarter, more profitable, and sustainable decisions. As a key member of the Market Intelligence team, you will focus on analysing market dynamics, developing predictive models, and embedding insights into our trading platform. By combining deep knowledge of dry and wet commercial shipping markets with data science expertise, you will help optimize freight decisions … in the pre- and at-fixture spaces, delivering measurable improvements to user profitability and driving the evolution of our platform. Drive measurable customer success by embedding predictive analytics and actionable insights into SaaS workflows, enabling smarter, sustainable, and more profitable shipping decisions. Enhance platform value through outcome-focused data-driven solutions that optimize market responsiveness and financial outcomes. Responsibilities … performance, and quantifying ROI to inform better decision-making. Implement frameworks to measure market coverage and responsiveness, ensuring the platform evolves in line with dynamic market needs. Data Science & Predictive Analytics Build and refine predictive models to forecast freight rates, supply-demand dynamics, and market conditions, with a focus on enabling sustainable shipping decisions. Apply advanced statistical techniques More ❯

engineers and industry experts, applying data engineering and data science techniques to optimize supply chain processes. Your expertise will directly contribute to providing our clients with real-time visibility, predictive analytics, and actionable insights. What You Will Do Develop and implement machine learning models to improve the accuracy of supply chain ETA s. Analyze large, complex datasets to extract … supply chain problems. Contribute to the development of our analytics product suite, ensuring scalability and efficiency. Communicate complex data science concepts to non-technical stakeholders. Key Responsibilities 1. Advanced Predictive Models: Utilize machine learning algorithms to analyze historical data and identify patterns. Models such as regression analysis, neural networks, or ensemble methods can predict ETAs more accurately by considering … various factors like traffic conditions, weather, route efficiency, and historical performance. 2. Real-Time Data Integration: Incorporate real-time data into predictive models. This includes traffic updates, weather conditions, vehicle speed, and location data. Real-time data allows for dynamic adjustments to ETA predictions as conditions change. 3. Historical Data Analysis: Analyze historical data to understand common delays and More ❯

for a highly skilled Mathematical Modeller with expertise in AI, data analytics, and sustainability to develop and implement advanced modeling frameworks. This role requires deep expertise in mathematical modeling, predictive analytics, and computational intelligence to analyze complex systems, support strategic decision-making, and optimize sustainability outcomes. Responsibilities include, but are not limited to: Develop advanced mathematical and statistical models … to support data-driven insights and decision-making. Design and implement predictive and prescriptive analytics frameworks to assess and forecast key trends. Apply AI and machine learning techniques to enhance data-driven methodologies. Conduct real-time analytics to track ongoing trends and develop automated monitoring systems. Perform scenario analysis and simulation modeling to evaluate potential outcomes and strategic interventions. … Statistics, Environmental Science, AI, Computational Modeling, or a related field. Strong expertise in mathematical modeling, statistical analysis, and computational techniques. Proficiency in AI and machine learning algorithms, particularly in predictive modeling and data-driven decision-making. Experience with programming languages such as Python, R, MATLAB, or similar for data analysis and modeling. Familiarity with sustainability frameworks and SDGs and More ❯

for a highly skilled Mathematical Modeller with expertise in AI, data analytics, and sustainability to develop and implement advanced modeling frameworks. This role requires deep expertise in mathematical modeling, predictive analytics, and computational intelligence to analyze complex systems, support strategic decision-making, and optimize sustainability outcomes. Responsibilities include, but are not limited to: Develop advanced mathematical and statistical models … to support data-driven insights and decision-making. Design and implement predictive and prescriptive analytics frameworks to assess and forecast key trends. Apply AI and machine learning techniques to enhance data-driven methodologies. Conduct real-time analytics to track ongoing trends and develop automated monitoring systems. Perform scenario analysis and simulation modeling to evaluate potential outcomes and strategic interventions. … Statistics, Environmental Science, AI, Computational Modeling, or a related field. Strong expertise in mathematical modeling, statistical analysis, and computational techniques. Proficiency in AI and machine learning algorithms, particularly in predictive modeling and data-driven decision-making. Experience with programming languages such as Python, R, MATLAB, or similar for data analysis and modeling. Familiarity with sustainability frameworks and SDGs and More ❯

in the intelligence field. Consulting Support, specific responsibilities include, but are not limited to: • Analyze complex datasets using statistical and machine learning techniques to extract insights and patterns. • Develop predictive models for forecasting, anomaly detection, and risk assessment. • Collaborate with SMEs to understand domain-specific data and requirements for analysis. • Implement data mining and exploratory data analysis techniques to … decision charts, processes, and standard operating procedures • Experience building briefings and materials and presenting at varying levels of leadership, peers, and program stakeholders. • Experience in analyzing large datasets, developing predictive models, and creating data driven solutions for decision making. • Experience analyzing complex datasets using statistical and machine learning techniques to extract insights and patterns. • Experience developing forecasts, anomaly detection More ❯

marketing, sales, and retail organizations. Model Development and Optimization Build advanced analytics to extract key strategic insights (product, customer, etc..) to inform key strategic decisions. Build, test and validate predictive models to support business needs. Implement and maintain machine learning models in production environment. Monitor model performance and refine algorithms to ensure accuracy and relevance. Partner with Data Governance More ❯

data and analytics risk assessment company and a leading source of information about insurance risk. To serve our clients, we draw upon our vast experience in data management and predictive modelling to offer decision analytics to the insurance industry through underwriting to claims management in personal lines, commercial lines, and the London market. In underwriting we create sophisticated … products. The International Analytics Team is a dynamic and exciting place to work: our projects are extremely varied and include developing supervised machine learning models, unsupervisedclustering type models, language modelling, network analysis and a variety of other statistical analysis methods. The successful candidate(s) will be at an early stage in their career.You will have the opportunity to play … . Produce models using a variety of algorithms (GLM, GBM, Random Forest, Neural Networks etc.) and assess the relative strength of each model Identify which factors are relevant and predictive and should be included in the model build Document processes, code, implement version control, and create functions/template code so that your successes can be applied to new More ❯

processes and drive improvements in pension provision. You will work closely with business owners to identify opportunities to drive value from data and lead the development of advanced analytics & predictive modelling algorithms. You will be comfortable working independently and as part of small teams in dynamic projects across Just to develop predictive models, identify health and mortality More ❯

influence business strategy. Examples of Problems You’ll Be Solving - What are the best content verticals for us to focus our creator recruitment on? - How can we build a predictive model to identify high-potential creators early? - What are the right leading and lagging indicators to measure success against our key OKRs? - How can we segment creators and users … Power BI, or Looker. - High attention to detail and commitment to data accuracy. Preferred Qualifications - Experience working in a consumer technology, content, or creator economy business. - Background in building predictive models or recommendation systems. - Familiarity with A/B testing and experimental design. - Strong communication skills, with the ability to simplify complex topics for non-technical audiences. - Knowledge of More ❯

Python, with proficiency in data science libraries (NumPy, Pandas, scikit-learn). Experience with SQL for data querying and analysis. Solid understanding of machine learning algorithms, statistical methods, and predictive modeling. Experience with NLP techniques for text analysis, classification, and information extraction. Knowledge of deep learning frameworks such as PyTorch or TensorFlow. Experience with data visualization tools (Matplotlib, Seaborn More ❯

science, physics, engineering) (Required) Master's/Advanced Degree Quantitative Discipline (math, statistics, economics, computer science, physics, engineering) (Preferred) Work Experience : 7-10 years of i ndustry experience in predictive modeling, data science, and analysis in an ML engineer or data scientist role building and deploying ML models or hands on experience developing deep learning models (Required More ❯

science, physics, engineering) (Required) Master's/Advanced Degree Quantitative Discipline (math, statistics, economics, computer science, physics, engineering) (Preferred) Work Experience : 7-10 years of i ndustry experience in predictive modeling, data science, and analysis in an ML engineer or data scientist role building and deploying ML models or hands on experience developing deep learning models (Required More ❯

improvements Qualifications Bachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years of experience in quantitative analytics or data modelling Deep understanding of predictive modelling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data More ❯

data and analytics risk assessment company and a leading source of information about insurance risk. To serve our clients, we draw upon our vast experience in data management and predictive modelling to offer decision analytics to the insurance industry through underwriting to claims management in personal lines, commercial lines, and the London market. In underwriting we create sophisticated … products. The International Analytics Team is a dynamic and exciting place to work: our projects are extremely varied and include developing supervised machine learning models, unsupervisedclustering type models, language modelling, network analysis and a variety of other statistical analysis methods. The successful candidate(s) will be at an early stage in their career.You will have the opportunity to play … . Produce models using a variety of algorithms (GLM, GBM, Random Forest, Neural Networks etc.) and assess the relative strength of each model Identify which factors are relevant and predictive and should be included in the model build Document processes, code, implement version control, and create functions/template code so that your successes can be applied to new More ❯

Design and develop customized solutions that leverage data science and advanced engineering principles. Implement and test solutions to ensure they meet client requirements and industry standards. Data Analysis and Modelling: Analyse large datasets from industrial systems to identify trends, patterns, and anomalies. Develop predictive models and algorithms to optimize industrial processes and enhance performance. Use machine learning and … client satisfaction. Minimum Requirements Minimum of 5-7 years of experience in the industrial sector, with a focus on solutions engineering and process engineering. Proven experience in data analysis, modelling, and developing software solutions. Strong project management skills with a track record of successfully delivering complex projects. Technical Skills Proficiency in programming languages such as Python, R, Java, or More ❯

processes and drive improvements in pension provision. You will work closely with business owners to identify opportunities to drive value from data and lead the development of advanced analytics & predictive modelling algorithms. You will be comfortable working independently and as part of small teams in dynamic projects across Just to develop predictive models, identify health and mortality More ❯

by leveraging cutting-edge AI, machine learning (ML), and advanced analytics to solve complex challenges. The Technical Data Scientist will develop, deploy, and optimize scalable data science solutions, including predictive models, AI/ML-powered decision engines, and automation frameworks that deliver measurable commercial value. This includes integrating cloud-based, real-time, and MLOps best practices to ensure robust … Define and own the data science roadmap, ensuring alignment with business priorities and delivering measurable commercial value to Greene King. Develop, deploy, and scale advanced data science solutions, including predictive models, AI/ML decision engines, and automation frameworks, to drive data-led operational decisions. Implement and oversee robust MLOps practices, ensuring models remain accurate, explainable, and optimized through … computer science, etc. Best Practice knowledge and experience of Data Science standards and approaches. Expert in Python, SQL and other coding languages and platforms. Expert in statistical and AI modelling and relevant software/platforms. Significant knowledge and Experience in Databricks and Lakehouse concepts. Strong stakeholder management experience across multiple levels of an organisation. Proven ability to solve complex More ❯

role (gaming, betting, or consumer apps is a big plus) Strong skills in SQL, Python or R, and data visualisation tools (e.g., Tableau, Power BI) Experience with statistical analysis, predictive modelling, and segmentation techniques Understanding of user behaviour analytics, retention metrics, and A/B testing Bonus: Experience with fraud detection or risk analytics Strong attention to detail More ❯

an exciting opportunity for an early-career Data Science enthusiast to enhance their technical expertise, collaborate with engineers, product owners and stakeholders and contribute directly to impactful analytics and predictive modelling in a fast-paced environment. The key focus areas of the role include: Prepare, clean, and structure data for model development. Investigate patterns, trends, and anomalies in More ❯

Responsibilities Analyze complex data sets to identify trends and patterns Develop and implement predictive models to drive business decisions Collaborate with business stakeholders to identify opportunities for data-driven growth Design and implement data visualizations to communicate insights Ensure data quality and integrity through data validation and testing Stay up-to-date with industry trends and emerging technologies Skills … Qualifications Master's degree in Data Science, Computer Science, Statistics, or related field Certified Data Scientist or related certification (optional) Proven experience in analyzing complex data sets and developing predictive models Strong understanding of data More ❯

Responsibilities Analyze complex data sets to identify trends and patterns Develop and implement predictive models to drive business decisions Collaborate with business stakeholders to identify opportunities for data-driven growth Design and implement data visualizations to communicate insights Ensure data quality and integrity through data validation and testing Stay up-to-date with industry trends and emerging technologies Skills … Qualifications Master's degree in Data Science, Computer Science, Statistics, or related field Certified Data Scientist or related certification (optional) Proven experience in analyzing complex data sets and developing predictive models Strong understanding of data science concepts and technologies More ❯

Responsibilities Analyze complex data sets to identify trends and patterns Develop and implement predictive models to drive business decisions Collaborate with business stakeholders to identify opportunities for data-driven growth Design and implement data visualizations to communicate insights Ensure data quality and integrity through data validation and testing Stay up-to-date with industry trends and emerging technologies Skills … Qualifications Master's degree in Data Science, Computer Science, Statistics, or related field Certified Data Scientist or related certification (optional) Proven experience in analyzing complex data sets and developing predictive models Strong understanding of data science concepts and technologies What We Offer Competitive hourly rate ($80-$95 per hour) Opportunity to work with a dynamic and growing organization Collaborative More ❯

Apply advanced Python techniques to manipulate and analyse large datasets. Design and maintain data pipelines to ensure the integrity and accessibility of critical business data. Provide actionable insights through predictive analytics and statistical modelling. Collaborate with cross-functional teams to align data science initiatives with business objectives. Communicate complex data findings in a clear, concise manner to stakeholders. Stay … proficiency in Python, including libraries like Pandas, NumPy, TensorFlow, and PyTorch. Experience with Generative AI, Large Language Models (LLMs) and their practical applications. Expertise in data insights, analytics, and predictive modelling. Knowledge of cloud-based data platforms and infrastructure. Familiarity with insurance data, risk analysis, or financial services analytics (preferred but not essential). Excellent problem-solving and communication More ❯