Manchester, Lancashire, United Kingdom Hybrid / WFH Options
Starling Bank Limited
Our Data teams are excited about the value of data within the business, powers our product decisions to improve things for our customers and enhance effective and agile decision making, regardless of what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech . We are … think about fraud detection as a wider team Responsibilities: You will be part of a team that builds, evaluates and deploys machine learning models to improve and automate decision making Collaborate with technical and non-technical teams to understand problems, explore data, and develop effective fraud prevention tools and solutions Design and maintain robust feature engineering pipelines for … related domain Experience working with large-scale, high-dimensional, and heavily imbalanced datasets Excellent skills in Python and SQL Solid understanding of classification algorithms such as gradient boosting decisiontrees, including pros and cons of different model architectures Strong feature engineering skills and experience in transforming raw data into useful model inputs Effective communication skills and able to More ❯
Manchester, England, United Kingdom Hybrid / WFH Options
Starling Bank
Our Data teams are excited about the value of data within the business, powers our product decisions to improve things for our customers and enhance effective and agile decision making, regardless of what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech. We are looking … think about fraud detection as a wider team Responsibilities: You will be part of a team that builds, evaluates and deploys machine learning models to improve and automate decision making Collaborate with technical and non-technical teams to understand problems, explore data, and develop effective fraud prevention tools and solutions Design and maintain robust feature engineering pipelines for … related domain Experience working with large-scale, high-dimensional, and heavily imbalanced datasets Excellent skills in Python and SQL Solid understanding of classification algorithms such as gradient boosting decisiontrees, including pros and cons of different model architectures Strong feature engineering skills and experience in transforming raw data into useful model inputs Effective communication skills and able to More ❯
. Microsoft suite - Excel, Powerpoint etc. Languages: Python, SQL, Git. Working towards more complex modelling of the data using innovative methods. Knowledge of Machine Learning: Classification (Random Forest, DecisionTrees, KNN), Regression. Modelling (linear, sparse, logistic), Principal Component Analysis (PCA, PCR), clustering (K-means). Profile: Strong analytical skills, ability to generate strong insights and build convincing stories. More ❯
. Microsoft suite - Excel, Powerpoint etc. Languages: Python, SQL, Git. Working towards more complex modelling of the data using innovative methods. Knowledge of Machine Learning: Classification (Random Forest, DecisionTrees, KNN), Regression. Modelling (linear, sparse, logistic), Principal Component Analysis (PCA, PCR), clustering (K-means). Profile: Strong analytical skills, ability to generate strong insights and build convincing stories. More ❯
Manchester, England, United Kingdom Hybrid / WFH Options
Fitch Group
/enhancing search and information retrieval systems Exposure/experience in containerization technologies like Docker, Kubernetes, AWS EKS etc. Proficiency in ML algorithms, such as multi-class classification, decisiontrees, support vector machines, and neural networks (deep learning experience strongly preferred) Knowledge of popular Cloud computing vendor (AWS and Azure) infrastructure & services e.g., AWS Bedrock, S3, SageMaker; Azure More ❯
Manchester, England, United Kingdom Hybrid / WFH Options
Fitch Solutions
/or finetuning LLMs. (experience building agentic workflows strongly preferred) Experience building/enhancing search and information retrieval systems Proficiency in ML algorithms, such as multi-class classification, decisiontrees, support vector machines, and neural networks (deep learning experience strongly preferred) Knowledge of popular Cloud computing vendor (AWS and Azure) infrastructure & services e.g., AWS Bedrock, S3, SageMaker; Azure More ❯
mine insight & present data Build and maintain sophisticated models, prioritising a range of data science techniques Advance the adoption of data science & statistical techniques Communicate results to key decision makers across the business for action based on the results of pricing analysis Collaborate with peers in pricing, underwriting and data science will generate insight to help make commercial … budget requirements. Key Skills and Experience: Previous experience within general insurance pricing Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, DecisionTrees, Random Forests, Neural Nets and Clustering Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A good quantitative degree (Mathematics, Statistics, Engineering, Physics More ❯
mine insight & present data Build and maintain sophisticated models, prioritising a range of data science techniques Advance the adoption of data science & statistical techniques Communicate results to key decision makers across the business for action based on the results of pricing analysis Collaborate with peers in pricing, underwriting and data science will generate insight to help make commercial … budget requirements. Key Skills and Experience: Previous experience within general insurance pricing Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, DecisionTrees, Random Forests, Neural Nets and Clustering Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A good quantitative degree (Mathematics, Statistics, Engineering, Physics More ❯
Manchester, Lancashire, England, United Kingdom Hybrid / WFH Options
Vermelo RPO
techniques across pricing & underwriting Research and leverage new and existing data sources; capturing and explaining trends with innovative data features Clearly communicate results and proposed actions to key decision makers across the business Champion and facilitate automation of reporting, data pipelines and quality assurance Manage, coach and mentor team members, driving a culture of development and excellence across … including knowledge of current trends and issues in motor or home pricing Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, DecisionTrees, Random Forests, Neural Nets and Clustering. Knowledge of the technical differences between different packages for some of these model types would be an advantage. Experience in statistical and More ❯
Manchester, North West, United Kingdom Hybrid / WFH Options
Gerrard White
techniques across pricing & underwriting Research and leverage new and existing data sources; capturing and explaining trends with innovative data features Clearly communicate results and proposed actions to key decision makers across the business Champion and facilitate automation of reporting, data pipelines and quality assurance Manage, coach and mentor team members, driving a culture of development and excellence across … including knowledge of current trends and issues in motor or home pricing Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, DecisionTrees, Random Forests, Neural Nets and Clustering. Knowledge of the technical differences between different packages for some of these model types would be an advantage. Experience in statistical and More ❯
Key Skills and Experience: Previous experience within Personal Lines Pricing is advantageous Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, DecisionTrees, Random Forests, Neural Nets and Clustering Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A good quantitative degree (Mathematics, Statistics, Engineering, Physics More ❯
Salford, Lancashire, England, United Kingdom Hybrid / WFH Options
Vermelo RPO
Key Skills and Experience: Previous experience within Personal Lines Pricing is advantageous Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, DecisionTrees, Random Forests, Neural Nets and Clustering Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A good quantitative degree (Mathematics, Statistics, Engineering, Physics More ❯
Salford, Greater Manchester, North West, United Kingdom Hybrid / WFH Options
Gerrard White
Key Skills and Experience: Previous experience within Personal Lines Pricing is advantageous Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, DecisionTrees, Random Forests, Neural Nets and Clustering Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A good quantitative degree (Mathematics, Statistics, Engineering, Physics More ❯
Manchester, England, United Kingdom Hybrid / WFH Options
First Central Services
bots across various platforms (web, mobile, messaging apps and telephony). Ensure seamless integration with existing systems. Coding Proficiency: Write and maintain code snippets for chatbot logic, including decisiontrees, intents, and responses. User Experience (UX): Collaborate with UX designers to create intuitive and user-friendly chatbot interfaces. Documentation: Maintain process flows to reflect the flows within the More ❯
Manchester, Lancashire, United Kingdom Hybrid / WFH Options
BT Group
of others: Contribute, author, or maintain (as appropriate) and communicate a set of architecture artefacts: Standards & policies Guard rails Patterns and anti-patterns Guidance on choice (decisiontree, cloud assessment, etc.) Principles Defining and maintain a set of architecture building blocks jointly with security architects Key solution building blocks, jointly with solution architects and/or security More ❯
Manchester, England, United Kingdom Hybrid / WFH Options
BT Group
of others: Contribute, author, or maintain (as appropriate) and communicate a set of architecture artefacts: Standards & policies Guard rails Patterns and anti-patterns Guidance on choice (decisiontree, cloud assessment, etc.) Principles Defining and maintain a set of architecture building blocks jointly with security architects Key solution building blocks, jointly with solution architects and/or security More ❯