26 to 50 of 792 Permanent 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 ❯

greatest potential. Our work is the catalyst that helps others achieve their goals. In short, We Enable PossibilitySM. Strategic Analytics is a growing team at Arch that develops innovative predictive models and analytical tools to improve profitability and growth as well as providing deep analytical insight for decision makers. To be successful, we need to develop powerful models, tools … the profitability of Arch’s London Market portfolio. You will oversee a multi-skilled team of data scientists, data engineers and other technical experts to develop best-in-class predictive models and data-led solutions. You will be responsible for ensuring projects are appropriately accepted, planned and prioritised and that solutions meet stakeholders needs. Key Tasks And Responsibilities Work … teams and share ideas to solve complex business problems. Build strong partnerships with peers across the organization to support project goals and boarder team needs. Oversee the build of predictive models using advanced analytics techniques including GLMs, GBMs, natural language processing and other machine learning approaches. Develop powerful insights using a variety of analytical tools, techniques, and technologies, 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 ❯

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 ❯

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 ❯

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 ❯

Collaborate with Data Engineering to ensure data quality and documentation. Communicate insights effectively to technical and non-technical stakeholders. Depending on your skills, incorporate machine learning techniques, such as predictive lifetime value modeling, into your analyses or work with Data Scientists. What We’re Looking For 2+ years’ experience in a data analytics role. Degree in Mathematics, Economics, or … and objectivity. Proactive attitude, teamwork, eagerness to learn. Nice to Haves: Knowledge of payments, e-commerce, or gambling sectors. Experience with Snowflake and/or AWS Sagemaker. Experience with predictive modeling and machine learning techniques. Benefits Flexible working hours. Option to buy or sell holidays, carry over up to 5 days. Social events, rooftop terrace views, and modern facilities. More ❯

and inspire a team, with excellent interpersonal and communication skills. Analytical Skills: Strong analytical and problem-solving abilities, with experience in advanced analytics techniques such as machine learning and predictive modeling. #J-18808-Ljbffr More ❯

and data-driven strategies to stay ahead in the market. **Key Responsibilities:** Utilize advanced statistical and machine learning techniques to analyze large-scale datasets and extract actionable insights. Develop predictive models and algorithms to optimize investment portfolios, assess risk exposure, and forecast market trends. Collaborate closely with cross-functional teams to ensure compliance with regulatory requirements and data privacy More ❯

implementation of highly complex, scalable, and high-performance BI architectures and data models to support the organization's strategic business objectives • Use advanced analytics techniques, such as statistical analysis, predictive modeling, and machine learning, to uncover hidden patterns and trends in data • Collaborate cross-functionally with data engineers, data scientists, and business partners to define and deliver impactful BI More ❯

implementation of highly complex, scalable, and high-performance BI architectures and data models to support the organization's strategic business objectives • Use advanced analytics techniques, such as statistical analysis, predictive modeling, and machine learning, to uncover hidden patterns and trends in data • Collaborate cross-functionally with data engineers, data scientists, and business partners to define and deliver impactful BI More ❯

and dashboards to communicate insights and client recommendations Automating reproducible data extracts for client delivery Develop scaled methodologies that derive meaningful recommendations from data involving: Advanced analytics Customer segmentations Predictive models Client portfolio performance measurements Data policy compliance requirements Work with VCA data scientists and consultants across Europe to support data science business development across key accounts to meet More ❯