126 to 150 of 198 Remote Predictive Modelling Jobs

seeking a Junior Data Scientist to join our client’s London-based fintech team, where you will work with large-scale financial datasets, develop predictive models, and support data-driven decision-making in a dynamic and fast-growing sector. Key Responsibilities 🔍 Data Science & Modelling: Work with complex financial … datasets to extract insights, optimise risk models, and improve trading strategies. 🤖 Machine Learning Development: Design and implement predictive models for fraud detection, credit scoring, and algorithmic trading. 📊 Data Visualisation & Reporting: Build dashboards and reports to communicate insights to both technical and non-technical stakeholders. 🤝 Collaboration: Work alongside risk, product … cloud platforms (AWS, GCP, or Azure) for model deployment. Understanding of big data technologies like Spark or Hadoop. Knowledge of algorithmic trading, credit risk modelling, or payment fraud detection . Benefits 💰 Competitive Salary & Bonus: £35,000 - £45,000 plus performance-based incentives. 🏡 Hybrid Working: Flexible mix of office and More ❯

seeking a Junior Data Scientist to join our client’s London-based fintech team, where you will work with large-scale financial datasets, develop predictive models, and support data-driven decision-making in a dynamic and fast-growing sector. Key Responsibilities 🔍 Data Science & Modelling: Work with complex financial … datasets to extract insights, optimise risk models, and improve trading strategies. 🤖 Machine Learning Development: Design and implement predictive models for fraud detection, credit scoring, and algorithmic trading. 📊 Data Visualisation & Reporting: Build dashboards and reports to communicate insights to both technical and non-technical stakeholders. 🤝 Collaboration: Work alongside risk, product … cloud platforms (AWS, GCP, or Azure) for model deployment. Understanding of big data technologies like Spark or Hadoop. Knowledge of algorithmic trading, credit risk modelling, or payment fraud detection . Benefits 💰 Competitive Salary & Bonus: £35,000 - £45,000 plus performance-based incentives. 🏡 Hybrid Working: Flexible mix of office and More ❯

wfh About the Role My client is seeking a Football Quantitative Analyst to join their prediction team. You will use extensive datasets to enhance predictive models, explore new methodologies, and develop solutions. This role involves a blend of in-depth analysis and innovative modelling to tackle unique challenges … of data scientists and sports analysts, as well as having the freedom to explore and develop individual ideas. Requirements 3+ years of experience in predictive modelling, machine learning, and probability theory, preferably in the sports or gaming/betting industries. Familiarity with techniques such as Monte Carlo simulation … Bayesian modelling, mixed effects models, Kalman filters, GLMs, and time series forecasting. Strong programming skills, particularly in Python. Experience in exploring new datasets, identifying data quality issues, and handling imperfect data effectively. Preferred Qualifications Understanding of expected value and utility principles. Practical problem-solving approach, balancing detail with quick More ❯

wfh About the Role My client is seeking a Football Quantitative Analyst to join their prediction team. You will use extensive datasets to enhance predictive models, explore new methodologies, and develop solutions. This role involves a blend of in-depth analysis and innovative modelling to tackle unique challenges … of data scientists and sports analysts, as well as having the freedom to explore and develop individual ideas. Requirements 3+ years of experience in predictive modelling, machine learning, and probability theory, preferably in the sports or gaming/betting industries. Familiarity with techniques such as Monte Carlo simulation … Bayesian modelling, mixed effects models, Kalman filters, GLMs, and time series forecasting. Strong programming skills, particularly in Python. Experience in exploring new datasets, identifying data quality issues, and handling imperfect data effectively. Preferred Qualifications Understanding of expected value and utility principles. Practical problem-solving approach, balancing detail with quick More ❯

a modern North West HQ. Modern Tech Stack: Get hands-on with Power BI, Microsoft Fabric, Python (PySpark), and SQL. High-Impact Projects: From predictive analytics to performance optimisation, your work will drive measurable results across retail, supply chain, and beyond. Why This Role? Strategic Influence: Your insights will … . Modern Tech Stack: Get hands-on with Power BI, Microsoft Fabric, Python (PySpark), and SQL-no legacy reporting here. High-Impact Projects: From predictive analytics to performance optimisation, your work will drive measurable results across retail, supply chain, and beyond. Join a business that's investing heavily in … becoming the go-to person for data-led decision making. Turn complex datasets into clear, actionable stories that drive performance. Lead deep-dive investigations, predictive modelling, and innovative analytics projects. Present directly to senior stakeholders-your voice will be heard. Spot opportunities others miss-help shape strategy, not More ❯

a modern North West HQ. Modern Tech Stack: Get hands-on with Power BI, Microsoft Fabric, Python (PySpark), and SQL. High-Impact Projects: From predictive analytics to performance optimisation, your work will drive measurable results across retail, supply chain, and beyond. Why This Role? Strategic Influence: Your insights will … . Modern Tech Stack: Get hands-on with Power BI, Microsoft Fabric, Python (PySpark), and SQL-no legacy reporting here. High-Impact Projects: From predictive analytics to performance optimisation, your work will drive measurable results across retail, supply chain, and beyond. Join a business that's investing heavily in … becoming the go-to person for data-led decision making. Turn complex datasets into clear, actionable stories that drive performance. Lead deep-dive investigations, predictive modelling, and innovative analytics projects. Present directly to senior stakeholders-your voice will be heard. Spot opportunities others miss-help shape strategy, not More ❯

will be responsible for defining and implementing the global data science strategy for Merlin. This will facilitate the use of huge datasets to build predictive models and generate actionable insights for the business. The introduction of AI and Machine Learning is especially important to explore the improvement of internal … advanced analytics and AI as central pillars in the decision-making processes. Cultivate a strong data-first mindset by embedding AI, machine learning, and predictive modelling into business operations to tackle complex challenges and inform smarter strategies. Recruit, inspire, and develop a skilled team of Data Scientists while More ❯

will be responsible for defining and implementing the global data science strategy for Merlin. This will facilitate the use of huge datasets to build predictive models and generate actionable insights for the business. The introduction of AI and Machine Learning is especially important to explore the improvement of internal … advanced analytics and AI as central pillars in the decision-making processes. Cultivate a strong data-first mindset by embedding AI, machine learning, and predictive modelling into business operations to tackle complex challenges and inform smarter strategies. Recruit, inspire, and develop a skilled team of Data Scientists while More ❯

have experience working in a digital, data or product leadership role in an agile organisation. Strong understanding of statistics, structured and unstructured data analysis, predictive modelling techniques and data visualisation as well as good command of emerging methodologies like Artificial Intelligence (AI). Must be well versed in More ❯

team and focus on developing churn and propensity models with an immediate impact on business outcomes. The ideal candidate will be experienced in building predictive models, using data science techniques to analyse customer behaviour, and will work closely with stakeholders to drive business performance. Key Responsibilities : Develop churn and More ❯

advanced data analysis and visualization techniques to support resource allocation and strategic decision-making. The ideal candidate will excel at analyzing large datasets, developing predictive models, and creating visualizations using tools like Power BI and Python to support strategic planning and resource allocation. The Data Scientist will provide advisory … Implementation, maintenance, and oversight of the data management standards, practices, process, and technologies within CA/C Design data modeling processes, create algorithms and predictive models, and perform ad hoc/exploratory data analysis to support data-driven decision making, including use of advanced analytics techniques such as predictive More ❯

day: Break down complex business challenges into measurable and data-driven metrics and formulate hypothesis to test and validate potential solutions. Build and deploy predictive models using advanced frameworks and algorithms. Adapt and customise models on a case-by-case basis for specific organisational needs. Continuously improve model performance More ❯

day: Break down complex business challenges into measurable and data-driven metrics and formulate hypothesis to test and validate potential solutions. Build and deploy predictive models using advanced frameworks and algorithms. Adapt and customise models on a case-by-case basis for specific organisational needs. Continuously improve model performance More ❯

analysing and using data from a variety of complex, high-volume structured and unstructured databases, third-party sources, and publicly available data. Understand how predictive models, machine learning, and AI algorithms are used to develop insights and identify strategies for improvement. Use technical expertise to create tactical tools and More ❯

to create solutions in both Databricks and our CDP (mParticle). This could be creating audiences, or using in-built CDP capabilities to build predictive models, or enabling triggered marketing campaigns reaching millions of customers. What you'll be doing Creating data solutions (such as views, segmentations, profiles) in More ❯

analysing and using data from a variety of complex, high-volume structured and unstructured databases, third-party sources, and publicly available data. Understand how predictive models, machine learning, and AI algorithms are used to develop insights and identify strategies for improvement. Use technical expertise to create tactical tools and More ❯

finance system-based reporting solutions. Standardise reporting templates and methodologies to improve consistency and usability across business units. Introduce advanced analytical capabilities, such as predictive models and scenario analysis, to enhance insight generation. Data Governance and Quality: Collaborate with IT, Group Accounting and Finance, and business unit FP&A More ❯

finance system-based reporting solutions. Standardise reporting templates and methodologies to improve consistency and usability across business units. Introduce advanced analytical capabilities, such as predictive models and scenario analysis, to enhance insight generation. Data Governance and Quality: Collaborate with IT, Group Accounting and Finance, and business unit FP&A More ❯

and implement AI solutions that can improve internal workflows and deliver superior results for our clients. Whether you are reducing manual processes or developing predictive models, we provide the tools and support to make AI an integral part of your work. Let's talk salary. The annual salary range More ❯

and implement AI solutions that can improve internal workflows and deliver superior results for our clients. Whether you are reducing manual processes or developing predictive models, we provide the tools and support to make AI an integral part of your work. Let's talk salary. The annual salary range More ❯

to have at least 3 years of relevant experience in Data Analytics. This includes proficiency in programming languages like SQL and Python, experience with predictive modeling (Machine Learning) for forecasting purposes, and familiarity with data visualization tools such as Tableau or Power BI. Additionally, the candidate should have a … influencing skills to interact with various stakeholders. Technical experience Mandatory: Proficiency in SQL and Python Knowledge of interaction with Oracle DBs Proven experience in predictive modeling (Machine Learning) for forecasting purposes Familiarity with development tools and libraries such as Conda, GitLab, Jupyter, PyCharm Data visualization skills (mandatory: Tableau; Power More ❯

a Data Scientist, you'll be at the heart of data-driven decision-making. You'll help build and maintain scalable data pipelines, design predictive models, and turn complex datasets into meaningful insights for the business. This role offers a balance of technical depth, creative problem-solving, and cross … uncovering insights that drive business outcomes. Key Responsibilities Develop and maintain robust data pipelines to support analytics and machine learning initiatives. Build and deploy predictive models using statistical methods and ML algorithms. Ensure high data quality through validation, monitoring, and automated checks. Translate business needs into clear analytical approaches More ❯

and implement data transformation logic using Power Query, DAX, and SQL to support advanced analytics and operational reporting. • Design and develop analytical tools and predictive models to identify trends, forecast outcomes, and provide strategic insights to leadership. • Apply data science techniques such as regression analysis, clustering, classification, and natural … analytics and data science, including experience with data modeling, data mining, statistical computing, and machine learning methods (e.g., LLMs, neural networks, NLP, clustering, and predictive analytics). • Experience working with large data sets, ETL processes, and data visualization tools such as Power BI, Tableau, or Qlik. • Expertise in DAX More ❯

your peers in the Marketing & Personalisation team and Operations team to contribute through leadership. As such, experience with Marketing Data Science (think Marketing Mix Modelling, Multi-touch attribution) or Operational Research is also welcome. In return you'll receive coaching and mentoring to grow as a people manager. Opportunity … concisely to technical and non-technical audiences of various levels of seniority. Proven ability to manage stakeholders. Broad expertise in machine learning methodologies, including predictive modelling, pattern recognition, and optimization techniques. Experience with reinforcement learning or transfer learning is a plus. Excellent ability to gather, develop, prioritise and More ❯

Do: Lead projects and mentor teams, advocating for ML excellence. Design and optimize scalable, modular AI models for production. Build recommendation systems, classifiers, and predictive models . Adapt ML methods for parallel environments (GPU, distributed clusters) . What We’re Looking For: A PhD in a core STEM subject More ❯