176 to 200 of 781 Predictive Modelling Jobs

models, analytics frameworks, and experimentation strategies across the platform. Analyze user journeys and behavioral data across tenants to uncover insights that inform product and engagement strategies. Develop segmentation and predictive models to support personalization and proactive member engagement based on demographics, behavior, and interaction activities etc. Design and analyze experiments (A/B testing, cohort studies) to assess feature … financial services sector. Skills Strong SQL skills and experience working with large, complex data sets. Proficiency in SQL and Python or R, with hands-on experience in machine learning, predictive modeling, and statistical analysis. Proven experience working directly with product analytics platforms like Mixpanel, Amplitude, or similar tools. Experience with data visualization and BI tools (e.g., Looker, Power BI More ❯

solve complex business challenges? Do you thrive at the intersection of business strategy and advanced analytics? Are you ready to guide world-class brands through the evolving landscape of predictive modeling, machine learning, and AI-driven solutions? Join our team as a Data Solutions Consultant specializing in Advanced Data Solutions and help our clients transform their data capabilities into … clients collect, analyze, and activate data at scale to create impactful customer experiences and drive measurable business results. We help propose, design and deliver advanced data solutions that support predictive modeling, machine learning applications, AI-driven insights, and data-driven decision making. Our work includes: Presales advisory :Having initial conversations to understand client challenges, define use cases that could … Light travel activity can be required for client workshops. Our Data Solution Consultants specializing in Advanced Data Solutions focus on: Translating business challenges into data driven solutions. Consulting on predictive modeling approaches and methodologies. Providing input and sparring on model selection, validation, and implementation. Supervising data scientists and engineers on technical implementation. Developing strategies for leveraging data science in More ❯

and this is a great chance to have a profound impact on the project. Key Responsibilities: Analyze large datasets to uncover patterns and insights related to customer behavior. Develop predictive models to forecast customer activities and trends. Collaborate with cross-functional teams to implement data-driven strategies. Define and track key performance indicators (KPIs). Utilize machine learning techniques … and concise manner. Requirements: Master's or PhD degree in a quantitative field. Proven experience of large-scale data analysis and hypothesis testing. Strong proficiency in statistical analysis and predictive modeling. Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse/data.table), along with SQL. Excellent problem-solving skills and attention to detail. Strong communication skills with … might expect to work on: Predicting future expected value and future potential value of individual customers. Real-time prediction of customer churn. Building multi-level customer segmentation driven by predictive models. Here's what we offer: Start with 25 days of annual leave, with 2 additional days added each year, up to 35 days by your fifth year with More ❯

and this is a great chance to have a profound impact on the project. Key Responsibilities: • Analyze large datasets to uncover patterns and insights related to customer behavior. • Develop predictive models to forecast customer activities and trends. • Collaborate with cross-functional teams to implement data-driven strategies. • Define and track key performance indicators (KPIs). • Utilize machine learning techniques … and concise manner. Requirements: • Master's or PhD degree in a quantitative field. • Proven experience of large-scale data analysis and hypothesis testing. • Strong proficiency in statistical analysis and predictive modeling. • Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse/data.table), along with SQL. • Excellent problem-solving skills and attention to detail. • Strong communication skills with … might expect to work on: • Predicting future expected value and future potential value of individual customers. • Real-time prediction of customer churn. • Building multi-level customer segmentation driven by predictive models. Here's what we offer: • Start with 25 days of annual leave, with 2 additional days added each year, up to 35 days by your fifth year with More ❯

and this is a great chance to have a profound impact on the project. Key Responsibilities: • Analyze large datasets to uncover patterns and insights related to customer behavior. • Develop predictive models to forecast customer activities and trends. • Collaborate with cross-functional teams to implement data-driven strategies. • Define and track key performance indicators (KPIs). • Utilize machine learning techniques … and concise manner. Requirements: • Master's or PhD degree in a quantitative field. • Proven experience of large-scale data analysis and hypothesis testing. • Strong proficiency in statistical analysis and predictive modeling. • Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse/data.table), along with SQL. • Excellent problem-solving skills and attention to detail. • Strong communication skills with … might expect to work on: • Predicting future expected value and future potential value of individual customers. • Real-time prediction of customer churn. • Building multi-level customer segmentation driven by predictive models. Here's what we offer: • Start with 25 days of annual leave, with 2 additional days added each year, up to 35 days by your fifth year with More ❯

solve complex business challenges? Do you thrive at the intersection of business strategy and advanced analytics? Are you ready to guide world-class brands through the evolving landscape of predictive modeling, machine learning, and AI-driven solutions? Join our team as a Data Solutions Consultant specializing in Advanced Data Solutions and help our clients transform their data capabilities into … clients collect, analyze, and activate data at scale to create impactful customer experiences and drive measurable business results. We Help Propose, Design And Deliver Advanced Data Solutions That Support Predictive Modeling, Machine Learning Applications, AI-driven Insights, And Data-driven Decision Making. Our Work Includes Presales advisory : Having initial conversations to understand client challenges, define use cases that could … Light travel activity can be required for client workshops. Our Data Solution Consultants specializing in Advanced Data Solutions focus on: Translating business challenges into data driven solutions. Consulting on predictive modeling approaches and methodologies. Providing input and sparring on model selection, validation, and implementation. Supervising data scientists and engineers on technical implementation. Developing strategies for leveraging data science in More ❯

and this is a great chance to have a profound impact on the project. Key Responsibilities: • Analyze large datasets to uncover patterns and insights related to customer behavior. • Develop predictive models to forecast customer activities and trends. • Collaborate with cross-functional teams to implement data-driven strategies. • Define and track key performance indicators (KPIs). • Utilize machine learning techniques … and concise manner. Requirements: • Master's or PhD degree in a quantitative field. • Proven experience of large-scale data analysis and hypothesis testing. • Strong proficiency in statistical analysis and predictive modeling. • Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse/data.table), along with SQL. • Excellent problem-solving skills and attention to detail. • Strong communication skills with … might expect to work on: • Predicting future expected value and future potential value of individual customers. • Real-time prediction of customer churn. • Building multi-level customer segmentation driven by predictive models. Here's what we offer: • Start with 25 days of annual leave, with 2 additional days added each year, up to 35 days by your fifth year with More ❯

will contribute to planning, execution, interpretation, validation and communication of innovative exploratory analyses and algorithms, to facilitate internal decision making. You will provide technical expertise in data science and (predictive) machine learning/AI to identify opportunities for influencing internal decision making as well as discussions on white papers/regulatory policy. You will perform hands-on analysis of … methods, variable selection methods (e.g., lasso, elastic net, random forest), design of clinical trials. Strong programming skills in R and Python. Demonstrated knowledge of data visualization, exploratory analysis, and predictive modeling. Excellent interpersonal and communication skills (verbal and writing). Ability to develop and deliver clear and concise presentations for both internal and external meetings in key decision-making More ❯

will play a pivotal role in driving data-driven decision-making and shaping strategic initiatives. Your expertise will directly impact the organisation's ability to understand client behaviour, refine predictive models, and deliver actionable insights that influence key business outcomes. You will take on the responsibility of developing and optimising machine learning models, analysing complex datasets, and collaborating closely … will play a pivotal role in driving data-driven decision-making and shaping strategic initiatives. Your expertise will directly impact the organisation's ability to understand client behaviour, refine predictive models, and deliver actionable insights that influence key business outcomes. You will take on the responsibility of developing and optimising machine learning models, analysing complex datasets, and collaborating closely More ❯

looking for a mid-level Data Scientist to join our client's growing team. You will use your skills in data analysis and machine learning to uncover insights, build predictive models, and support decision-making across various projects. You’ll also work closely with engineers, product teams, and other stakeholders to deliver data-driven solutions. Benefits: Pension Health insurance More ❯

that help with data-driven decision-making. Use R Studio for data analysis, statistical modeling, and generating insights from large datasets. Work with the data science team to build predictive models and statistical reports that meet business needs. Document processes, workflows, and configurations to ensure consistent and effective data management practices. Qualifications: Bachelor's degree in Computer Science, Information More ❯

and KPIs Improve access to fraud data through collaboration with engineering and data teams Present complex data findings to stakeholders in a clear and actionable manner Model Development Create predictive models and apply machine learning techniques to identify fraud risks Continuously evaluate and enhance fraud models to maintain detection accuracy Maintain clear documentation of methodology for use across both More ❯

and KPIs Improve access to fraud data through collaboration with engineering and data teams Present complex data findings to stakeholders in a clear and actionable manner Model Development Create predictive models and apply machine learning techniques to identify fraud risks Continuously evaluate and enhance fraud models to maintain detection accuracy Maintain clear documentation of methodology for use across both More ❯

and optimize AI/ML algorithms and tools to enhance national security analysis. • Research and assess quantum computing architectures to identify novel solutions for computational challenges. • Design and evaluate predictive models and neural networks to enhance decision-making processes. • Support the evaluation and deployment of quantum-resistant algorithms and other advanced computing techniques. • Conduct performance benchmarking and scalability analyses More ❯

as survival analysis, machine learning, meta-analysis, mixed-effects modeling, Bayesian methods, and variable selection techniques. Proficiency in R and Python, with experience in data visualization, exploratory analysis, and predictive modeling. Excellent communication skills, both verbal and written. Ability to develop clear presentations for decision-making meetings. Why Novartis Helping people with diseases and their families requires more than More ❯

e.g., Basel III, GDPR) and ethical AI principles Ideate, design and implement AI-enabled solutions for financial services use cases, such as credit scoring, fraud detection, customer segmentation and predictive modeling Lead the process of taking AI/ML models from development to production, ensuring robust MLOps practices tailored to financial data environments Monitor and manage model performance, including More ❯

business functions. Partner with teams across Marketing, Operations, Finance, and Technology to align insights with strategic initiatives. Lead initiatives to elevate the organization’s data maturity, including implementation of predictive models and business intelligence tools. Champion a data-driven culture across all levels of the business, from daily operations to boardroom strategy. Translate complex analytical findings into clear business More ❯

e.g., Basel III, GDPR) and ethical AI principles Ideate, design and implement AI-enabled solutions for financial services use cases, such as credit scoring, fraud detection, customer segmentation and predictive modeling Lead the process of taking AI/ML models from development to production, ensuring robust MLOps practices tailored to financial data environments Monitor and manage model performance, including More ❯

e.g., Basel III, GDPR) and ethical AI principles Ideate, design and implement AI-enabled solutions for financial services use cases, such as credit scoring, fraud detection, customer segmentation and predictive modeling Lead the process of taking AI/ML models from development to production, ensuring robust MLOps practices tailored to financial data environments Monitor and manage model performance, including More ❯

e.g., Basel III, GDPR) and ethical AI principles Ideate, design and implement AI-enabled solutions for financial services use cases, such as credit scoring, fraud detection, customer segmentation and predictive modeling Lead the process of taking AI/ML models from development to production, ensuring robust MLOps practices tailored to financial data environments Monitor and manage model performance, including More ❯

discoverability, and support Open Science initiatives. Collect, clean, and analyze large datasets of scientific content and related information from various sources, ensuring data quality and integrity. Build and test predictive models and machine learning algorithms for tasks such as entity extraction, workflow automation, and enhancing the understanding of scientific content. Visualize and present findings in a clear, concise, and More ❯

discoverability, and support Open Science initiatives. Collect, clean, and analyze large datasets of scientific content and related information from various sources, ensuring data quality and integrity. Build and test predictive models and machine learning algorithms for tasks such as entity extraction, workflow automation, and enhancing the understanding of scientific content. Visualize and present findings in a clear, concise, and More ❯

Finance to achieve key business objectives and support business growth Develop Actionable Insights and Data Science Solutions Lead initiatives to enhance analytics and data science capabilities, driving innovation in predictive modeling, machine learning, and customer insights. Roll out product data driven features to improve product differentiation and customer experience. Build a Bespoke Enterprise Reporting Function Lead the development of More ❯

include: Leading the development + delivery of Data Analytics solutions that support strategic decision-making for clients. Managing data solutions projects, including: data strategy, data sourcing, data wrangling, data modelling, data visualisation + data dashboards. Must have strong Data Analytics experience including: SQL and data visualisation tools (PowerBI, Tableau or Looker). Building interactive data dashboards and reports using … Power BI or Tableau. Extracting, cleansing and modelling data from multiple sources to develop clear data insights. Statistical analysis or predictive modelling experience preferred. Working with key stakeholders to scope data requirements + define data solutions. Driving continuous improvement in data analytics processes + data governance policies. Mentoring junior data analysts, data governance + establishing best practices More ❯

of our offer, deepen our knowledge of our audience, and evaluate the impact of our work. You will work collaboratively with the Data & Impact Team to apply advanced data modelling, predictive modelling, and analytical techniques to generate actionable insights. Key Responsibilities: Deliver a high-quality data analytics service: Provide high-quality BAU data reporting and deliver a … specialist audiences. Support leadership: Contribute to sector-leading analytics efforts and identify collaboration opportunities with other leading organisations. Our Ideal Candidate: Experience: Demonstrable experience with large datasets and advanced predictive analysis tools and techniques to produce actionable insights. Proven track record in the production of clear, well written reports, tailored to the business stakeholder requirements. Proficiency in Power BI More ❯