426 to 450 of 645 Permanent Predictive Modelling Jobs

end-to-end across a range of credit models in the business and take on a challenging role which will give you excellent exposure and experience in the credit modelling space. THE ROLE Work across a range of credit models within the business, predominantly scorecards and broader decisioning models Own the implementation and enhancement of AI techniques to further … to further enhance the model suite and drive profitability across the business Manage a small team to enhance business performance YOUR SKILLS AND EXPERIENCE : Essential to have experience developing predictive models SQL and Python experience is essential Experience working with AI, either in a professional or educational environment, is essential Highly desirable to have had experience in Consumer Lending More ❯

opportunity to work on high-impact projects that directly influence customer engagement, marketing effectiveness, and business growth. The Role As a Senior Data Scientist, you will: Develop and deploy predictive models to enhance customer targeting and engagement. Work on churn prediction to help improve customer retention strategies. Apply customer segmentation techniques to optimise marketing campaigns. Build marketing attribution models … improve campaign performance. Collaborate with stakeholders across the business to translate insights into actionable strategies. Your Skills & Experience We’re looking for a Data Scientist with: Strong experience in predictive modeling, customer analytics, or marketing data science. Proficiency in Python (Pandas, NumPy, Sci-Kit Learn) or similar tools. A proven track record of delivering impactful, data-driven solutions. Strong More ❯

opportunity to work on high-impact projects that directly influence customer engagement, marketing effectiveness, and business growth. The Role As a Senior Data Scientist, you will: Develop and deploy predictive models to enhance customer targeting and engagement. Work on churn prediction to help improve customer retention strategies. Apply customer segmentation techniques to optimise marketing campaigns. Build marketing attribution models … improve campaign performance. Collaborate with stakeholders across the business to translate insights into actionable strategies. Your Skills & Experience We’re looking for a Data Scientist with: Strong experience in predictive modeling, customer analytics, or marketing data science. Proficiency in Python (Pandas, NumPy, Sci-Kit Learn) or similar tools. A proven track record of delivering impactful, data-driven solutions. Strong More ❯

HiRes-Soils: Robotic platforms for high-resolution maps of soil carbon and GHG emissions’ , funded by the Innovate UK agency. Responsibilities Data Acquisition and Integration: Integrate data from APIs. Predictive Modeling Analytics Spatial Analysis Qualifications and experience Degree in (but not exclusively) Computer Science or Engineering (Mechanical or Electrical) or Agricultural Engineering. Professionally proficient in English (written and spoken … Programming Skills: Proficient in Python, with experience in libraries such as Pandas, NumPy, Scikit-learn, Matplotlib, and others relevant to data science and analytics. Data Science Expertise: Background in predictive modeling, machine learning, and statistical analysis. API Integration: Experience in working with APIs for data retrieval and integration. Ability and willingness to adapt to varying physical objects of development. More ❯

A Private Equity firm are seeking an Azure Machine Learning Engineer to join on an initial 6-month contract to assist in the firms portfolio optimisation, risk management, and predictive modelling. You will be working alongside them through one of our consultancy partners who have recently won the bid for the project. The end point client operate primarily in … an Azure environment hence demonstratable experience in Azure is a must. Machine Learning Engineer Key Responsibilities: Use generative AI to build predictive models for market trends, asset valuation, and investment opportunities. Leverage AI algorithms for portfolio optimisation, risk analysis, and asset allocation strategies. Automate data extraction and analysis from financial reports, news, and alternative data sources to support investment More ❯

remotely A Private Equity firm are seeking a Machine Learning Engineer to join on an initial 6-month contract to assist in the firms portfolio optimisation, risk management, and predictive modelling. You will be working alongside them through one of our consultancy partners who have recently won the bid for the project. The end point client operate primarily in … an Azure environment hence demonstratable experience in Azure is a must. Machine Learning Engineer Key Responsibilities: Use generative AI to build predictive models for market trends, asset valuation, and investment opportunities. Leverage AI algorithms for portfolio optimisation, risk analysis, and asset allocation strategies. Automate data extraction and analysis from financial reports, news, and alternative data sources to support investment More ❯

an entrepreneurial mindset to optimise our company’s internal and external performance using machine learning capabilities and tooling. This will span from building tooling for our teams’ workflows to predictive analytics on our vast amounts of video data. You must be organised to ensure deadlines are met, and willing to take on new challenges. Our work is seen by … one day as this position holds massive future potential for growth. As a machine learning engineer, your role will involve: Exploring and analysing our data to identify trends and predictive models that will optimise our video’s performance; Building Interactive Dashboards for Data Visualisation and Analysis.; Fine-tuning large language models (e.g. GPT 4), and working with our script More ❯

Crafting and implementing effective fraud strategies to mitigate risks and protect different clients and customers Utilizing SQL, Python, and Power BI to analyze data, identify fraud patterns, and develop predictive models. Managing and mitigating various types of fraud, including scams, APP fraud, and third-party fraud. Collaborating with multiple vendors to enhance fraud prevention measures and ensure seamless integration. More ❯

Crafting and implementing effective fraud strategies to mitigate risks and protect different clients and customers Utilizing SQL, Python, and Power BI to analyze data, identify fraud patterns, and develop predictive models. Managing and mitigating various types of fraud, including scams, APP fraud, and third-party fraud. Collaborating with multiple vendors to enhance fraud prevention measures and ensure seamless integration. More ❯

include: Advanced degree in a quantitative discipline Proven solid programming skills in R and Python Demonstrated well-rounded data science skill set including the ability to build/maintain predictive models and explain model processes/outputs Ability to communicate effectively with a wide range of stakeholders and build solid business relationships as a trusted partner Ability to deal … building and/or fine-tuning transformer-based AI models Experience of managing the demands and various stakeholders within a highly matrixed business environment Ability to build/maintain predictive models and explain model processes/outputs Preferred Qualifications: PHD level qualification or equivalent Please note you must currently be eligible to work and remain indefinitely without any restrictions More ❯

advances in the application of machine learning techniques to this domain. Your team will work with a complex and diverse array of datasets to implement and rapidly iterate on predictive models. Despite the complexity of these problems, market returns provide immediate and unambiguous outcome data for measuring success. Your team won't just conduct research, they'll apply it … complex projects resulting in noteworthy improvements to product performance and risk management Develop a rich understanding of Voleon's domainand methodologies Prepare and analyze new datasets to assess their predictive efficacy Develop, validate, and implement new models into production Design and conduct experiments to improve simulations and evaluate the success of new models in a live environment Build collaborative More ❯

Data Scientists to join their 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 propensity models to predict customer More ❯

day. You will work on a wide range of systems that fuel our trading success including, but not limited to, core tooling and frameworks, data pipelines used to feed predictive models in research and trading, and software products used worldwide by traders and researchers. You will collaborate with experienced software developers and quant researchers to enable the continued growth More ❯

This is a hybrid role combining deep data science expertise with production-grade ML engineering. You'll be a driving force behind our performance marketing automation: designing experiments, building predictive models, and deploying them at scale to help optimise product bidding and maximise profit across platforms like Google Shopping. Expect to work across the full ML lifecycle—from exploring … This is a hybrid role combining deep data science expertise with production-grade ML engineering. You'll be a driving force behind our performance marketing automation: designing experiments, building predictive models, and deploying them at scale to help optimise product bidding and maximise profit across platforms like Google Shopping. Expect to work across the full ML lifecycle—from exploring More ❯

AI/ML trends in retail and customer analytics. Requirements: 5+ years' experience in Data Science, with a strong focus on customer or marketing analytics. Proven experience in building predictive models for segmentation, churn, LTV, personalisation, or attribution. Strong technical skills in Python and SQL, with experience deploying production-grade ML solutions. Confidence working with cross-functional stakeholders across More ❯

AI/ML trends in retail and customer analytics. Requirements: 5+ years' experience in Data Science, with a strong focus on customer or marketing analytics. Proven experience in building predictive models for segmentation, churn, LTV, personalisation, or attribution. Strong technical skills in Python and SQL, with experience deploying production-grade ML solutions. Confidence working with cross-functional stakeholders across More ❯

AI/ML trends in retail and customer analytics. Requirements: 5+ years' experience in Data Science, with a strong focus on customer or marketing analytics. Proven experience in building predictive models for segmentation, churn, LTV, personalisation, or attribution. Strong technical skills in Python and SQL, with experience deploying production-grade ML solutions. Confidence working with cross-functional stakeholders across More ❯

optimising and automating Pricing processes to enable faster, more accurate decision-making. Your work will focus on developing and maintaining tooling and frameworks that enhance the efficiency of our predictive models, reducing deployment times, increasing scalability, and improving model performance through regular updates and monitoring. You will work closely with the Data Scientists, Actuaries, and Product team to deliver More ❯

innovation to thrive in a collaborative and fast-paced environment. Key Responsibilities: Design, implement, and optimise ML and NLP algorithms for tasks such as sentiment analysis, text summarisation, and predictive modelling. Build and maintain scalable data pipelines, APIs, and AI architectures to support production-ready solutions. Collaborate with engineering teams to integrate AI models into existing systems, ensuring seamless More ❯

optimising and automating Pricing processes to enable faster, more accurate decision-making. Your work will focus on developing and maintaining tooling and frameworks that enhance the efficiency of our predictive models, reducing deployment times, increasing scalability, and improving model performance through regular updates and monitoring. You will work closely with the Data Scientists, Actuaries, and Product team to deliver More ❯

on demand forecasting and stock management. This role offers ownership of impactful features and a key role in shaping the product roadmap. Key Responsibilities: Demand Forecasting: Develop and refine predictive models to improve demand forecast accuracy, influencing operational decisions. Supply Chain Optimization: Address complex optimization challenges related to inventory movement for efficient stock levels across warehouses and retail locations. More ❯

and patient narratives. Lead the development and implementation of Digital Healthcare applications for medical and scientific tools, RWE new ways of generating real data, patients' engagement. Design and develop predictive models and generative AI solutions using diverse healthcare data sources, including clinical trials data, electronic health records, wearable devices, patient-reported outcomes, HEOR data, phase IV studies. Collaborate with More ❯

to have used Salesforce/Tableau before, but it would have an advantage. A genuine passion for technology, disruption and innovation is also ideal! Experience with analytics, data, databases, predictive modeling, or business intelligence preferred Education: Degree or equivalent relevant experience required. Experience will be evaluated based on the core competencies for the role (e.g. extracurricular leadership roles, military More ❯

generation, data gathering, research/analysis, model implementation, and backtesting of systematic equity strategies. Model Development: Combining financial insights with advanced statistical learning techniques to analyze diverse datasets, build predictive models, and apply them to the investment process. Collaboration: Working alongside the SPM and investment team in a highly transparent environment, ensuring alignment throughout the investment lifecycle. Required Technical More ❯

ML tools including Google Vertex AI and Azure ML Building models to answer complex business questions and to proactively inform stock placement strategy and direction. Build, validate and monitor predictive models to grow business confidence. Cultivating relationships cross functionally with stakeholders across Matalan including stock placement and supply chain. Experience in a numerate subject with work experience delivering data More ❯