1 to 25 of 65 Remote Predictive Modelling Jobs in England

infrastructure. Responsibilities Deep dive analysis: Conduct deep-dive analysis into customer portfolio trends to identify root causes of debt accumulation, enabling preventative measures to be implemented. Create and refine predictive models: Develop and refine predictive models and analytical frameworks to improve credit risk assessment and optimise debt recovery strategies. Deliver bad debt improvements: Support the Bad Debt Transformation … the Income function, ensuring analytics remain at the heart of business strategy. What you should bring to the role Proven experience in credit risk analytics, debt management, or financial modelling, preferably within a collections or customer income function. Strong background in applying data science techniques to real-world business problems, with demonstrable experience in predictive modelling and … to write high-quality, efficient, and maintainable SQL code for queries, ensuring scalability and long-term usability. Strong programming skills in Python and/or R for data manipulation, modelling, and visualisation. Familiarity with cloud-based data platforms and tools, such as Azure Data Lake, AWS, or Google Cloud. Degree, or equivalent experience, in a quantitative field such as More ❯

behavioural patterns. Translate data into actionable insights that influence decisions across Finance, Operations, Sales, and Marketing. Support the testing, piloting, and scaling of AI-driven tools like sentiment analysis, predictive models, and smart feedback systems. Make insights accessible to non-technical stakeholders through clear storytelling and impactful data visualisations. Champion best practices in customer insights and contribute to the … with data tools such as Python, R, Tableau, or Power BI. Interest or experience in customer experience and Voice of Customer (VoC) insights. Bonus skills (not required): Experience with predictive modelling, NLP, or large language models. Exposure to customer journey mapping. Knowledge of additional languages (French, Spanish, or German). What's on Offer Opportunities to work across More ❯

teams to build scalable systems, maintain robust data pipelines, and integrate machine learning models into real-world applications that make a measurable impact. Key Responsibilities: Apply machine learning and predictive modelling to optimise player development, grassroots participation, and tournament planning Perform clustering and statistical analysis on historical performance data to identify tactical and developmental insights Develop computer vision … Python and R Microsoft Fabric, Azure Synapse, SQL Power BI, matplotlib, Plotly Azure (RBAC, AAD, Blob Storage); experience with AWS or GCP is also valued Strong foundation in statistics, modelling, and data wrangling Scikit-learn, TensorFlow, PyTorch Soft Skills: Ability to translate business problems into analytical solutions Confident communicator capable of presenting insights to non-technical stakeholders Effective team More ❯

What we’d love you to bring: Passion for using data to tell stories, make insight actionable, and influence decisions. Strong understanding of data models and analytics; exposure to predictive modelling and machine learning is a plus. Proficient in SQL and Python, with bonus points for PySpark, SparkSQL, and Git. Skilled in data visualisation with tools such as More ❯

What we’d love you to bring: Passion for using data to tell stories, make insight actionable, and influence decisions. Strong understanding of data models and analytics; exposure to predictive modelling and machine learning is a plus. Proficient in SQL and Python, with bonus points for PySpark, SparkSQL, and Git. Skilled in data visualisation with tools such as More ❯

and Python skills Experience with data visualisation tools (Power BI preferred, but flexible) Proven background in analytics or data science, ideally in a commercial or operational context Exposure to predictive modelling, segmentation, or pricing analytics Ability to work independently and communicate insights clearly to non-technical stakeholders WHY APPLY? Play a central role in shaping analytics for one More ❯

evaluate machine learning and deep learning models for production environments 🛠 Develop and optimise end-to-end ML pipelines — from data preparation to model deployment 📊 Experiment with advanced generative and predictive models , including diffusion, autoregressive, and transformer-based architectures 🤝 Collaborate with data engineers and software developers to integrate AI solutions into scalable systems 💡 Contribute to research and experimentation around model More ❯

evaluate machine learning and deep learning models for production environments 🛠 Develop and optimise end-to-end ML pipelines — from data preparation to model deployment 📊 Experiment with advanced generative and predictive models , including diffusion, autoregressive, and transformer-based architectures 🤝 Collaborate with data engineers and software developers to integrate AI solutions into scalable systems 💡 Contribute to research and experimentation around model More ❯

evaluate machine learning and deep learning models for production environments 🛠 Develop and optimise end-to-end ML pipelines — from data preparation to model deployment 📊 Experiment with advanced generative and predictive models , including diffusion, autoregressive, and transformer-based architectures 🤝 Collaborate with data engineers and software developers to integrate AI solutions into scalable systems 💡 Contribute to research and experimentation around model More ❯

evaluate machine learning and deep learning models for production environments 🛠 Develop and optimise end-to-end ML pipelines — from data preparation to model deployment 📊 Experiment with advanced generative and predictive models , including diffusion, autoregressive, and transformer-based architectures 🤝 Collaborate with data engineers and software developers to integrate AI solutions into scalable systems 💡 Contribute to research and experimentation around model More ❯

evaluate machine learning and deep learning models for production environments 🛠 Develop and optimise end-to-end ML pipelines — from data preparation to model deployment 📊 Experiment with advanced generative and predictive models , including diffusion, autoregressive, and transformer-based architectures 🤝 Collaborate with data engineers and software developers to integrate AI solutions into scalable systems 💡 Contribute to research and experimentation around model More ❯

the design and deployment of scalable ML/AI capabilities on top of the data infrastructure to enhance our applications and business processes. Deliver high-impact initiatives such as predictive modeling, advanced analytics, and intelligent automation. Collaborate with Product and Engineering to embed ML/AI into core application features and workflows. Establish success metrics and a governance model More ❯

a skilled Data Scientist to join our dynamic team on a contract basis. You will work closely with cross-functional teams to extract actionable insights from complex datasets, build predictive models, and support data-driven decision-making. This is a hybrid role, offering flexibility while being actively involved in the London office. Key Responsibilities Analyze large, structured and unstructured … datasets to identify patterns and trends. Develop, validate, and deploy predictive models using machine learning and statistical techniques. Translate business requirements into technical solutions and actionable insights. Collaborate with business stakeholders, data engineers, and analysts to support analytics initiatives. Create dashboards, reports, and visualizations to communicate insights to non-technical stakeholders. Ensure data quality, integrity, and security throughout the … role. Strong programming skills in Python, R, or SQL . Hands-on experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch . Solid understanding of statistics, predictive modeling, and data mining techniques. Experience with data visualization tools such as Tableau, Power BI, or matplotlib/seaborn . Familiarity with cloud platforms (AWS, Azure, GCP) is a More ❯

the team, working across risk assessment, data science, and research functions. Champion a culture of curiosity, experimentation, and continuous improvement. Technical Excellence & Delivery Oversee the use of advanced statistical modelling, AI, and machine learning methods (including NLP and LLMs) to deliver high-quality insights. Ensure outputs are defensible, high-quality, and accessible to both technical and non-technical audiences. … quantitative social science, physics, or other relevant discipline. Proven experience managing a pipeline of analytical work and aligning outputs with organisational priorities. Expertise in AI/ML techniques, including predictive modelling, NLP, and large language models. Proficiency in Python, R, and relevant libraries for data analysis and modelling. Demonstrated ability to balance rigour with practical application, clearly articulating More ❯

and Python skills Experience with data visualisation tools (Power BI preferred, but flexible) Proven background in analytics or data science, ideally in a commercial or operational context Exposure to predictive modelling, segmentation, or pricing analytics Ability to work independently and communicate insights clearly to non-technical stakeholders WHY APPLY? Play a central role in shaping analytics for one More ❯

and Python skills Experience with data visualisation tools (Power BI preferred, but flexible) Proven background in analytics or data science, ideally in a commercial or operational context Exposure to predictive modelling, segmentation, or pricing analytics Ability to work independently and communicate insights clearly to non-technical stakeholders WHY APPLY? Play a central role in shaping analytics for one More ❯

and Python skills Experience with data visualisation tools (Power BI preferred, but flexible) Proven background in analytics or data science, ideally in a commercial or operational context Exposure to predictive modelling, segmentation, or pricing analytics Ability to work independently and communicate insights clearly to non-technical stakeholders WHY APPLY? Play a central role in shaping analytics for one More ❯

and Python skills Experience with data visualisation tools (Power BI preferred, but flexible) Proven background in analytics or data science, ideally in a commercial or operational context Exposure to predictive modelling, segmentation, or pricing analytics Ability to work independently and communicate insights clearly to non-technical stakeholders WHY APPLY? Play a central role in shaping analytics for one More ❯

and Python skills Experience with data visualisation tools (Power BI preferred, but flexible) Proven background in analytics or data science, ideally in a commercial or operational context Exposure to predictive modelling, segmentation, or pricing analytics Ability to work independently and communicate insights clearly to non-technical stakeholders WHY APPLY? Play a central role in shaping analytics for one More ❯

practices in security, lineage, and compliance (GDPR and financial regulations). Collaborate with cross-functional teams to translate business needs into scalable, data-driven solutions. Support innovation in analytics, predictive modelling, and AI initiatives. What You’ll Bring Essential Skills: Strong experience with SQL and Python for data transformation and automation. Proven track record building and optimising ETL … as Matillion, Talend, FiveTran, or Azure Data Factory . Hands-on experience designing and managing Snowflake data platforms (AWS, Azure, or GCP experience desirable). Solid understanding of data modelling and performance optimisation. Knowledge of data governance, compliance, and security frameworks. Desirable Skills: Familiarity with orchestration tools like Airflow, dbt, or Prefect . Experience with CI/CD and More ❯

pharmaceuticals.* Collaborate with data scientists, data engineers, and business analysts to build scalable AI models for research, development, and commercial operations.* Develop, test, and optimise machine learning algorithms and predictive models relevant to pharmaceutical data.* Integrate AI models with existing data pipelines, laboratory systems, and business applications.* Ensure the reliability, scalability, and performance of AI systems across multiple platforms. More ❯

text, images, and time-series (tabular) data. The Role You’ll join a small, collaborative data team in a Full stack Data Science role (ETL process through to building predictive models) working on live analytics, forecasting, and AI/ML projects. Key responsibilities include: Enriching and preparing datasets to uncover actionable insights Building and evaluating time-series forecasts Prototyping More ❯

travel to their offices on the South Coast - as such, this role is open to candidates across the UK. Your main focus will be developing data-led strategies and predictive models to help identify and measure potential risks, and then put appropriate mitigation strategies in place. You'll be working closely with teams across the business to build models More ❯

The Role As a Senior Principal Data Scientist in the Advanced Quantitative Scientists group you will be responsible for the discussion and implementation of data science and high-dimensional modelling methodologies applied to patient-level data (including various biomarker, clinical and outcomes data) across clinical development in Neuroscience. You will combine your data science and AI skills and your … and/or AI analyses and algorithms, to facilitate internal decision making, support submissions of candidate drug and research collaborations. You will provide technical expertise in data science and (predictive) machine learning/AI as well as domain knowledge in biology and/or medicine to identify opportunities for influencing internal decision making and research collaborations. You will perform … data in a clinical trial (GxP) setting. Strong knowledge and understanding of (multivariate implementations of) statistical methods such as time to event analysis, machine learning, meta-analysis, mixed effect modelling, longitudinal modelling, Bayesian methods, variable selection methods (e.g., lasso, elastic net, random forest), design of clinical trials. Familiarity with statistical and analytical methods for high dimensional data (e.g. More ❯

Contract Opportunity: Lead Data Scientist (Image-Based Predictive Modelling) Location: London/Hybrid/Remote Day Rate: Up to £600/day (Inside or Outside IR35) Contract Length: Initial 5 weeks (very strong extension potential) Start Date: Within 1-2 weeks Industry: Financial Services (Marketing Analytics Project) Interview Slots Available This Week - Fast Turnaround About the Company Join … Your goal: build and deploy a model that forecasts click-through rates and explains why certain images drive better performance. What You'll Be Doing Build and refine a predictive model using image data & historical engagement metrics? Identify which image characteristics (colour, objects, themes) influence customer behaviour? Implement explainability (e.g. SHAP, feature importance)? Build a simple internal UI (Dash … guide technical decision-making internally? Enable deployment teams to operationalise your solution What Success Looks Like By the end of the initial engagement you will have delivered:- A working predictive model- Clear explainability on what drives user clicks- A functional internal tool for non-technical stakeholders- Documentation and guidance for productionisation Required Skills Must-Have: Expert-level Python (Pandas More ❯