infrastructure. Your contributions will directly support smarter decision-making and drive innovation across the business. What you'll need to succeed A degree in Computer Science, Information Technology, Mathematics, Statistics, or a related field. (Not a must but beneficial) A genuine passion for data - its potential, its impact, and how to harness it effectively. Hands-on experience supporting and improving More ❯
Basingstoke, Hampshire, South East, United Kingdom
Franklin Bates Limited
and building and maintaining data pipelines. The key skills required for the Data Scientist role are: A strong education foundation from a Bachelors or Masters degree in Engineering/Statistics/Mathematics/Computer Science/Finance Experience of working in a Data Scientist role for 1+ years Experience with PowerBI/Qlik or similar style technologies for building pipelines More ❯
years in a lead or managerial role. Proven track record building and deploying machine learning models in real-world environments, preferably within insurance, fintech, or healthtech. Strong background in statistics, machine learning, and AI techniques, including deep learning and NLP. Proficient in Python, SQL, and cloud-based data platforms (AWS/GCP/Azure). Excellent communication skills with the More ❯
high numerical ability with analytical capability and a strong academic background. Can learn new software platforms and ways of working. Have a good understanding of risk management analysis, probability, statistics and quantitative analysis. The ability to work with and analyse large, complex data sets across spreadsheets and databases. Highly resilient, with experience of building strong relationships. Demonstrate proven time management More ❯
high numerical ability with analytical capability and a strong academic background. Can learn new software platforms and ways of working. Have a good understanding of risk management analysis, probability, statistics and quantitative analysis. The ability to work with and analyse large, complex data sets across spreadsheets and databases. Highly resilient, with experience of building strong relationships. Demonstrate proven time management More ❯
high numerical ability with analytical capability and a strong academic background. Can learn new software platforms and ways of working. Have a good understanding of risk management analysis, probability, statistics and quantitative analysis. The ability to work with and analyse large, complex data sets across spreadsheets and databases. Highly resilient, with experience of building strong relationships. Demonstrate proven time management More ❯
engineers, data scientists and product managers who are spread across several geographies. The team covers a variety of industries, functions, analytics methodologies and platforms – e.g. Cloud data engineering, advanced statistics, machine learning, predictive analytics, MLOps and generative AI. What You’ll Do You will collaborate closely with a team comprising data scientists, data engineers, product developers, and analytics-focused consultants. … of Large Language Models, leveraging the latest advancements in neural network architectures and machine learning techniques Qualifications ● Bachelor's degree in the field of computer science, machine learning, applied statistics, mathematics or related field required. Advanced degree is a strong plus ● Strong data translation and presentation skills with the ability to clearly and effectively communicate complex analytical and technical content … years of relevant experience with classical descriptive statistics, standard statistical modelling (e.g. advanced regressions, clustering, classification models) and machine learning techniques (e.g. random forest, support vector machines, gradient boosting, XGBoost) ● Programming experience in the following languages: Python and SQL ● Experience in leading complex engagements to deploy advanced analytics and data science methods at scale in real world organizations ● Exposure to More ❯
engineers, data scientists and product managers who are spread across several geographies. The team covers a variety of industries, functions, analytics methodologies and platforms – e.g. Cloud data engineering, advanced statistics, machine learning, predictive analytics, MLOps and generative AI. What You’ll Do You will collaborate closely with a team comprising data scientists, data engineers, product developers, and analytics-focused consultants. … of Large Language Models, leveraging the latest advancements in neural network architectures and machine learning techniques Qualifications ● Bachelor's degree in the field of computer science, machine learning, applied statistics, mathematics or related field required. Advanced degree is a strong plus ● Strong data translation and presentation skills with the ability to clearly and effectively communicate complex analytical and technical content … years of relevant experience with classical descriptive statistics, standard statistical modelling (e.g. advanced regressions, clustering, classification models) and machine learning techniques (e.g. random forest, support vector machines, gradient boosting, XGBoost) ● Programming experience in the following languages: Python and SQL ● Experience in leading complex engagements to deploy advanced analytics and data science methods at scale in real world organizations ● Exposure to More ❯
engineers, data scientists and product managers who are spread across several geographies. The team covers a variety of industries, functions, analytics methodologies and platforms – e.g. Cloud data engineering, advanced statistics, machine learning, predictive analytics, MLOps and generative AI. What You’ll Do You will collaborate closely with a team comprising data scientists, data engineers, product developers, and analytics-focused consultants. … of Large Language Models, leveraging the latest advancements in neural network architectures and machine learning techniques Qualifications ● Bachelor's degree in the field of computer science, machine learning, applied statistics, mathematics or related field required. Advanced degree is a strong plus ● Strong data translation and presentation skills with the ability to clearly and effectively communicate complex analytical and technical content … years of relevant experience with classical descriptive statistics, standard statistical modelling (e.g. advanced regressions, clustering, classification models) and machine learning techniques (e.g. random forest, support vector machines, gradient boosting, XGBoost) ● Programming experience in the following languages: Python and SQL ● Experience in leading complex engagements to deploy advanced analytics and data science methods at scale in real world organizations ● Exposure to More ❯
