1 to 25 of 84 Permanent Predictive Modelling Jobs

working with an early-stage technology company looking for a Lead Data Scientist to play a key role in the development of its predictive modelling and machine learning capabilities. This is an opportunity to join at an early stage and have a significant influence on both the product … direction of the business. The Opportunity As the Lead Data Scientist, you'll take ownership of the machine learning and predictive modelling capability at the heart of the business. Working closely with experienced founders and industry experts, you'll design and build scalable forecasting systems that continuously generate ...

model packaging decisions across multiple markets. As this platform evolves, there's a clear opportunity to go further - moving beyond reporting and compliance into predictive modelling, optimisation, and AI-driven decision support. This role will play a key part in enabling that shift, ensuring our data platform … scalable, traceable and aligned to both regulatory and product needs. As the platform matures, you'll also help enable more advanced capabilities, including predictive modelling, scenario optimisation and machine learning use cases, ensuring the data foundations are built to support them properly. What You'll Be Doing ...

Lead a high-impact analytics team, supporting modelling professionals as they go through a transformation. Own strategic modelling across a diversifying product and channel mix. Manage and mentor a growing team of analysts. Influence marketing investment decisions with predictive insight. Reporting to the Head of Performance … take ownership of modelling and performance analysis across a diversifying product suite, helping the business make smarter, data-led decisions. You’ll lead a team through a period of transformation as they move from a single-product, linear marketing model to a multi-product, cross-channel strategy. What ...

strong focus on Machine Learning and deep proficiency in Python . You will be instrumental in transforming complex data into actionable insights, building predictive models, and driving business strategy using cutting-edge analytical techniques. This role is for a hands-on individual who is excited to move models from ...

producing high-quality outcomes. Responsibilities Deliver data science projects, from problem definition through to actionable insights and presentation of results Develop and apply predictive modelling, supervised and unsupervised machine learning techniques to optimise client operations and business outcomes Build and maintain data pipelines, ensuring data quality, consistency … enhancement of Sagacity’s data science and analytics product suite Competencies and Experience 2+ years’ experience in data science, analytics, or statistical modelling, ideally with commercial experience within the Telecoms, Banking or Utilities industries; or within a data-related consultancy Educated to degree level (postgraduate preferred) in a quantitative ...

United Kingdom (Hybrid) 🕘 Full-Time About the Role The Senior Sports Quantitative Modeller understands that successful sports products are built on robust mathematics, accurate modelling, and continuous innovation. This is a highly specialised role sitting at the intersection of quantitative research, statistical modelling, and sports analytics. … deep statistical expertise with strong commercial awareness and a passion for solving complex problems. You'll operate with a high degree of autonomy, leading modelling initiatives from concept through to deployment while collaborating with data scientists, engineers, and business stakeholders to deliver measurable impact. Based in London ...

blends data engineering, analytics, and machine learning, offering the opportunity to work across the full data lifecycle-from building scalable data pipelines to developing predictive models that drive business decisions. Key Responsibilities Design, build, and maintain scalable data pipelines and ETL/ELT workflows to support analytics and machine ...

deploy AI and machine learning solutions for healthcare applications. Analyze clinical, operational, and patient data to identify opportunities for AI-driven improvements. Build predictive models, decision-support systems, and generative AI applications. Ensure compliance with healthcare regulations, privacy requirements, and ethical AI standards. Monitor deployed AI systems and continuously ...

with version control tools (e.g., Git). Exposure to business domains such as finance, marketing, operations, or sales analytics. Knowledge of machine learning or predictive modeling. Bonus points: Experience with PHP, ThoughtSpot, Sigma Computing. ...

statistical distributions is essential. Machine Learning: Knowledge of machine learning algorithms and frameworks (such as TensorFlow and Scikit-Learn) is vital for building predictive models and automating decision-making processes. Data Wrangling: The ability to clean and organize complex datasets is critical. Data wrangling involves transforming raw data into ...

statistical distributions is essential. Machine Learning: Knowledge of machine learning algorithms and frameworks (such as TensorFlow and Scikit-Learn) is vital for building predictive models and automating decision-making processes. Data Wrangling: The ability to clean and organize complex datasets is critical. Data wrangling involves transforming raw data into ...

lead change and drive improvement in data quality and use. Strong problem-solving and strategic thinking capabilities. Desirable Familiarity with advanced analytics techniques e.g. predictive modelling. Knowledge of NHS digital strategies and data standards. Experience Essential Significant experience working in data analytics within the NHS or healthcare environment. Proven ...

Data Scientist | Cardiff/Hybrid | Engineering | AI & Predictive Analytics We're supporting a growing engineering business looking to hire a Data Scientist to help develop scalable ML and AI solutions across compliance, risk and contractor analytics platforms. You'll work closely with AI Engineers, Data Engineers and DevOps teams … build and deploy predictive models and LLM-powered solutions in production environments across AWS and Azure. The Role This is a hands-on opportunity to work on modern AI and machine learning initiatives that directly support operational performance, compliance and risk management. You'll be involved in the full ...

delivery of analytical solutions that provide accurate, relevant, and actionable business insights. Apply a range of analytical techniques, from descriptive reporting through to advanced predictive and machine learning models. Coach and develop Data Analysts, enhancing both technical and professional capabilities in partnership with the Team Manager. Support the management … enterprise-wide self-service analytics capability, promoting best practices in tools, methodologies, and data governance. Mentor team members in advanced analytics techniques, including: Predictive modelling Supervised machine learning Customer segmentation Scenario simulation and forecasting Collaborate with stakeholders across the business to identify opportunities where advanced analytics can drive ...

What You’ll Do: As a Data Scientist, you will: Transform raw data into meaningful insights that drive strategic decision-making. Develop and implement predictive models and algorithms to enhance our products and services. Collaborate with cross-functional teams to identify opportunities for leveraging data to drive business solutions. ...

statistical analysis. Design and evaluate experiments for operational and business problem-solving across departments, ensuring proper sampling methods. Optimize scheduling and performance metrics through predictive modeling techniques, providing quantitative insights for process improvement. Candidate must have at least 3 months of work experience using Python, R, SQL, Power ...

science experience. You have delivered at least 3 data or ML products from problem definition to production deployment and monitoring. Demonstrated proficiency in clustering, predictive modeling, reinforcement learning, and Bayesian statistics. Hands-on experience in software engineering, MLOps, and deploying machine learning models at scale. Proficiency in SQL, Python ...

drives commercial strategy. THE ROLE This is a senior individual contributor role within an innovative pricing function, focused on developing and evolving advanced predictive models. You will work on complex, high-impact modelling problems and help shape the next generation of pricing approaches. Specifically, you can expect … involved in: Building and enhancing pricing and risk models using large, complex and messy datasets. Developing predictive and residual models to better understand expected versus actual outcomes. Exploring novel data sources, including geospatial and alternative datasets, to improve customer selection and pricing accuracy. Supporting the progression of existing models ...

finance data. We are looking for a hands-on Data Scientist to work alongside our lead data scientist to experiment, engineer, and deliver innovative predictive models into our modern AWS production environments. The Technical Reality: We operate a pragmatic stack where Linear Regression remains vital for stability and baseline … consumers to access the most suitable financial products, whilst supporting our customers in discovering good responsible actors and highlighting potential risks from others. Responsibilities Predictive Modelling (Linear & Non-Linear): You will build and maintain foundational Linear Regression models for credit, affordability, and fraud scoring, while developing advanced XGBoost ...

Champion automation and self-service tools to reduce manual reporting and increase value-add analytical work Support the evolution of advanced analytics capability, including predictive modelling Take a product-led approach to BI and data, influencing the development of data warehouse and reporting architecture Partner closely with Data ...

associated data science libraries and tools Demonstrated experience developing and operationalizing ML, deep learning, NLP, and generative AI/LLM models Strong background in predictive modeling, time series analysis, anomaly detection, and feature engineering Experience creating and using synthetic data and privacy-preserving data techniques Working knowledge ...

want to build data products, not just models? Have you worked on predictive analytics that directly shape customer strategy? Are you ready to own product innovation from concept to launch? A UK-based data and analytics business is hiring a Data Scientist to support the design and delivery … proprietary data products, giving you exposure to both real-world commercial problems and scalable internal product builds. Their focus sits heavily in customer intelligence, predictive modelling and behavioural analytics across sectors including utilities, telecoms, financial services and charities. This is a strong opportunity for someone who wants broader ...

Heath (hybrid working) Role overview Markerstudy Group are looking for a Senior Machine Learning Engineer to help take leading-edge and novel insurance risk modelling and pricing techniques and participate in creating fully automated machine learning pipelines. Markerstudy is a leading provider of private insurance in the UK, insuring … engineers and share best practices Key Skills and Experience: Previous experience in tuning and deploying machine learning methods Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in DevOps and Azure ...

closely with cross-functional teams to integrate data insights into marketing campaigns, product development, and commercial strategies. Utilize advanced analytics techniques, including machine learning, predictive modelling, and statistical analysis, to generate deeper insights. Establish and enforce data governance policies to ensure data quality, consistency, and compliance with regulatory ...

robust analytical products. Advanced knowledge of applied mathematics, statistics, and numerical analysis, with experience using techniques such as optimisation, time series analysis, simulation or predictive modelling to generate insight and support decision making. Excellent communication skills, with experience presenting analytical outputs clearly to both technical and non technical ...