1 to 25 of 334 Remote Predictive Modelling Jobs

Learning (ML) to support the analysis and interpretation of large-scale datasets. This role is vital for leveraging our law enforcement client's data holdings to develop innovative insights, predictive models, and business solutions. The ideal candidate will have experience working with unstructured data, statistical modeling, and advanced data analytics to drive decision-making and enhance operational effectiveness. Develop … authenticity, expectancy, timeliness, relevancy, and viability of intelligence data. Conduct advanced data integration and statistical analysis to identify patterns, trends, and intelligence gaps. Innovate by deriving investigative, statistical, and predictive value from our clients extensive data sources. Prepare, clean, and manage big data sets, design data models, and develop robust databases to support AI-driven business solutions. Tackle complex More ❯

and maintain dashboards and reports using data visualization tools. Collaborate with business stakeholders to identify trends, patterns, and improvement opportunities. Utilize statistical methods to analyze data sets and generate predictive models. Ensure data accuracy, integrity, and compliance with relevant policies. Automate data processing and reporting tasks for efficiency. Communicate findings and recommendations effectively to technical and non-technical audiences. … to translate complex data into clear and actionable insights. Knowledge of data governance and data quality principles. Strong communication and presentation skills. Preferred Qualifications: Experience with machine learning and predictive analytics. Knowledge of cloud-based data platforms such as AWS, Azure, or Google Cloud. Familiarity with data warehousing and ETL processes. Experience in a business or financial analysis environment. More ❯

complete, and ready for analysis. Data Analysis and Interpretation: Analyzing large datasets using statistical and machine learning techniques to identify trends, patterns, and insights. Model Building and Evaluation: Developing predictive models using machine learning algorithms to solve business problems. This includes selecting the right algorithms, training models, and evaluating their performance. Data Visualization: Creating clear and impactful visualizations (charts … processes. Data governance and compliance Proficiency in SQL and Python Knowledge of Big Data technologies (Hadoop, Spark) Cloud computing (AWS, Azure, GCP) Data modeling and architecture Advanced analytics and predictive modeling Knowledge of data privacy laws and regulations Proficiency in BI tools (Tableau, PowerBI) Strong problem-solving skills Excellent communication and presentation skills Project management and team leadership. Soft More ❯

complete, and ready for analysis. Data Analysis and Interpretation: Analyzing large datasets using statistical and machine learning techniques to identify trends, patterns, and insights. Model Building and Evaluation: Developing predictive models using machine learning algorithms to solve business problems. This includes selecting the right algorithms, training models, and evaluating their performance. Data Visualization: Creating clear and impactful visualizations (charts … processes. Data governance and compliance Proficiency in SQL and Python Knowledge of Big Data technologies (Hadoop, Spark) Cloud computing (AWS, Azure, GCP) Data modeling and architecture Advanced analytics and predictive modeling Knowledge of data privacy laws and regulations Proficiency in BI tools (Tableau, PowerBI) Strong problem-solving skills Excellent communication and presentation skills Project management and team leadership. Soft More ❯

complete, and ready for analysis. Data Analysis and Interpretation: Analyzing large datasets using statistical and machine learning techniques to identify trends, patterns, and insights. Model Building and Evaluation: Developing predictive models using machine learning algorithms to solve business problems. This includes selecting the right algorithms, training models, and evaluating their performance. Data Visualization: Creating clear and impactful visualizations (charts … processes. Data governance and compliance Proficiency in SQL and Python Knowledge of Big Data technologies (Hadoop, Spark) Cloud computing (AWS, Azure, GCP) Data modeling and architecture Advanced analytics and predictive modeling Knowledge of data privacy laws and regulations Proficiency in BI tools (Tableau, PowerBI) Strong problem-solving skills Excellent communication and presentation skills Project management and team leadership. Soft More ❯

complete, and ready for analysis. Data Analysis and Interpretation: Analyzing large datasets using statistical and machine learning techniques to identify trends, patterns, and insights. Model Building and Evaluation: Developing predictive models using machine learning algorithms to solve business problems. This includes selecting the right algorithms, training models, and evaluating their performance. Data Visualization: Creating clear and impactful visualizations (charts … processes. Data governance and compliance Proficiency in SQL and Python Knowledge of Big Data technologies (Hadoop, Spark) Cloud computing (AWS, Azure, GCP) Data modeling and architecture Advanced analytics and predictive modeling Knowledge of data privacy laws and regulations Proficiency in BI tools (Tableau, PowerBI) Strong problem-solving skills Excellent communication and presentation skills Project management and team leadership. Soft More ❯

complete, and ready for analysis. Data Analysis and Interpretation: Analyzing large datasets using statistical and machine learning techniques to identify trends, patterns, and insights. Model Building and Evaluation: Developing predictive models using machine learning algorithms to solve business problems. This includes selecting the right algorithms, training models, and evaluating their performance. Data Visualization: Creating clear and impactful visualizations (charts … processes. Data governance and compliance Proficiency in SQL and Python Knowledge of Big Data technologies (Hadoop, Spark) Cloud computing (AWS, Azure, GCP) Data modeling and architecture Advanced analytics and predictive modeling Knowledge of data privacy laws and regulations Proficiency in BI tools (Tableau, PowerBI) Strong problem-solving skills Excellent communication and presentation skills Project management and team leadership. Soft More ❯

and financial institutions, plan their strategies and future investment with a reliable, consistent and complete understanding of the global landscape. Role Overview: IWSR is expanding its Forecasting, Analytics and Modelling capabilities and seeks a Data Scientist as part of its growing team of data scientists and econometricians. This team is responsible for the production of forecasts and analytics in … analytics, and modelling. Key Responsibilities: Elevate Forecasts, Analytics, and Models Ensure IWSR’s forecasts, analytics, and models are market-leading in quality, relevance, and reliability Approach forecasting, analytics, and modelling challenges with rigor, adaptability, and creativity. Data Analysis and Exploration Support the collection, cleansing, and analysis of data from diverse sources Identify trends, patterns, and actionable insights to drive … decision-making and solve complex business problems. Statistical & Mathematical Modelling and Machine Learning/AI Support the development of predictive models, to forecast trends and outcomes Support the development and implementation of machine learning algorithms to address specific business challenges Collaborate with the team to deploy, run, and maintain models in a production environment Evaluate and fine-tune More ❯

If you're a Senior Data Scientist with expertise in predictive modelling, segmentation, and data automation, and you're excited about shaping the future of data in a cloud-first environment, we want to hear from you! This is a fantastic opportunity to join our client at the start of its major data transformation journey. Their move to … AI-driven analytics, making this an exciting time to be part of its data science team. The role. We are looking for a Senior Data Scientist with expertise in predictive modelling, segmentation, and data automation. You will Lead and optimize automated reporting pipelines, ensuring high performance and quality assurance. Build and deploy predictive models, enhancing customer behaviour … forecasting and operational insights. Maintain and further develop pricing analytics models and web applications for internal stakeholders. Drive segmentation modelling projects, improving customer targeting and personalization strategies. Develop and refine data pipelines and ETL processes, enabling efficient data integration into Azure Synapse & Fabric. Play a key role in cloud migration projects, supporting the organization's transition to Azure-based More ❯

play a critical role in transforming how we understand and serve our customers. In this exciting role, you'll lead the analysis of customer behaviour and commercial data, using predictive and advanced analytics to influence high-level decision-making across trading, CRM, and marketing. You'll be a key voice in the room, translating complex findings into clear, actionable … of the UK's fastest-growing retailers. You'll work at the heart of our Data & Analytics team, collaborating cross-functionally and mentoring others while driving innovation through experimentation, modelling, and automated decisioning. If you thrive in a fast-paced, insight-led environment and want your work to drive real change, we'd love to hear from you. At … how we target and segment consumers for targeted offers and promotions - Interrogate large volumes of data from a range of sources (online, customer verbatims, transactional etc) to use for modelling - Build predictive models to support business decision making - Build prescriptive tools (automated decisioning) with measurable commercial value - especially improving our marketing ROI - Lead the proactive and reactive support More ❯

insight and drive impactful business decisions. Your Responsibilities: Analyse complex datasets: Work with large volumes of financial data to identify trends, patterns, and insights that drive strategic decisions. Support predictive modeling: Collaborate on the development of machine learning models to forecast financial outcomes and optimise business processes. Develop data-driven solutions: Create algorithms and tools that automate and enhance … Mathematics, Computer Science, Engineering, or related fields. Proficiency in programming languages: Experience with Python and SQL for data analysis, manipulation, and modeling. Basic understanding of machine learning: Familiarity with predictive modeling techniques and algorithms, in particular NLP, LLM's and Time Series Forecasting. Experience with data visualisation tools: Knowledge of tools like Tableau/Power BI, or similar to More ❯

insight and drive impactful business decisions. Your Responsibilities: Analyse complex datasets: Work with large volumes of financial data to identify trends, patterns, and insights that drive strategic decisions. Support predictive modeling: Collaborate on the development of machine learning models to forecast financial outcomes and optimise business processes. Develop data-driven solutions: Create algorithms and tools that automate and enhance … Mathematics, Computer Science, Engineering, or related fields. Proficiency in programming languages: Experience with Python and SQL for data analysis, manipulation, and modeling. Basic understanding of machine learning: Familiarity with predictive modeling techniques and algorithms, in particular NLP, LLM's and Time Series Forecasting. Experience with data visualisation tools: Knowledge of tools like Tableau/Power BI, or similar to More ❯

Scientists who are analytical, curious, and confident turning complex data into simple, strategic recommendations. Responsibilities Collect, clean, and process structured and unstructured data from multiple sources Build and deploy predictive models and machine learning algorithms Analyze trends, patterns, and correlations to identify actionable insights Design and run experiments (A/B testing, hypothesis testing) to optimize performance Communicate findings More ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 What We Offer Competitive hourly rate ($80-$95 per hour) Opportunity to work with a dynamic and growing organization Collaborative 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 ❯

closely with clients to understand their business needs and translate them into tailored data science solutions.+ Apply advanced statistical and machine learning techniques to solve client-specific challenges, including predictive modeling, data analytics, and optimization.+ Guide and mentor junior data scientists and analysts, providing technical leadership and fostering professional development within the team.+ Develop and implement scalable data pipelines More ❯

Partners is growing its data-driven analytics team and is hiring a Statistical Data Scientist to sharpen our view of weather-driven risk and support wider supply-and-demand modelling for power & gas trading. You will play a pivotal role in shaping our data strategy and driving the development of our modelling approaches. You will collaborate with cross … functional teams to design, implement, and optimize data pipelines and predictive models that inform trading decisions and enhance operational efficiency. RESPONSIBILITIES: Primary Focus: Probabilistic Weather Modelling: Research and prototype probabilistic methods (Bayesian inference, state-space filtering, change-detection tests, etc.) that flag when fresh weather guidance materially diverges from prior outlooks. Continuous Development and Improvement: Calibrate confidence metrics … data-management skills; experience querying large analytical databases (Snowflake highly desirable, but Redshift/BigQuery/ClickHouse etc. also welcome). PREFERRED QUALIFICATIONS: Meteorological understanding/experience with weather modelling Prior knowledge or experience in the power markets or energy sector. Experience with cloud platforms (e.g., AWS, GCP, Azure) and MLOps practices. Familiarity with data visualization tools (e.g., Tableau More ❯

Partners is growing its data-driven analytics team and is hiring a Statistical Data Scientist to sharpen our view of weather-driven risk and support wider supply-and-demand modelling for power & gas trading. You will play a pivotal role in shaping our data strategy and driving the development of our modelling approaches. You will collaborate with cross … functional teams to design, implement, and optimize data pipelines and predictive models that inform trading decisions and enhance operational efficiency. RESPONSIBILITIES: Primary Focus: Probabilistic Weather Modelling: Research and prototype probabilistic methods (Bayesian inference, state-space filtering, change-detection tests, etc.) that flag when fresh weather guidance materially diverges from prior outlooks. Continuous Development and Improvement: Calibrate confidence metrics … data-management skills; experience querying large analytical databases (Snowflake highly desirable, but Redshift/BigQuery/ClickHouse etc. also welcome). PREFERRED QUALIFICATIONS: Meteorological understanding/experience with weather modelling Prior knowledge or experience in the power markets or energy sector. Experience with cloud platforms (e.g., AWS, GCP, Azure) and MLOps practices. Familiarity with data visualization tools (e.g., Tableau More ❯

Partners is growing its data-driven analytics team and is hiring a Statistical Data Scientist to sharpen our view of weather-driven risk and support wider supply-and-demand modelling for power & gas trading. You will play a pivotal role in shaping our data strategy and driving the development of our modelling approaches. You will collaborate with cross … functional teams to design, implement, and optimize data pipelines and predictive models that inform trading decisions and enhance operational efficiency. RESPONSIBILITIES: Primary Focus: Probabilistic Weather Modelling: Research and prototype probabilistic methods (Bayesian inference, state-space filtering, change-detection tests, etc.) that flag when fresh weather guidance materially diverges from prior outlooks. Continuous Development and Improvement: Calibrate confidence metrics … data-management skills; experience querying large analytical databases (Snowflake highly desirable, but Redshift/BigQuery/ClickHouse etc. also welcome). PREFERRED QUALIFICATIONS: Meteorological understanding/experience with weather modelling Prior knowledge or experience in the power markets or energy sector. Experience with cloud platforms (e.g., AWS, GCP, Azure) and MLOps practices. Familiarity with data visualization tools (e.g., Tableau More ❯