its value to colleagues across the business. Who are you: Experience building machine learning models and deploying them into production, working with ML Engineers. Ability to apply knowledge in statistics and machine learning to real world problems. Nice to have experience with creating solutions using GenAI A desire to interact with stakeholders and translating business problems into practical solutions Good More ❯
CI/CD Engaging with senior stakeholders for requirements gathering Collaborating with engineers via pair or mob programming Working with data scientists to productionize machine learning models Knowledge of statistics Collaborating across multidisciplinary teams Experience within the public sector Support in applying If you need this job description in another format or require support in applying, please email . We More ❯
Wales, Yorkshire, United Kingdom Hybrid / WFH Options
Made Tech Limited
CI/CD Engaging with senior stakeholders for requirements gathering Collaborating with engineers via pair or mob programming Working with data scientists to productionize machine learning models Knowledge of statistics Collaborating across multidisciplinary teams Experience within the public sector Support in applying If you need this job description in another format or require support in applying, please email . We More ❯
Manchester, Lancashire, United Kingdom Hybrid / WFH Options
Made Tech Limited
CI/CD Engaging with senior stakeholders for requirements gathering Collaborating with engineers via pair or mob programming Working with data scientists to productionize machine learning models Knowledge of statistics Collaborating across multidisciplinary teams Experience within the public sector Support in applying If you need this job description in another format or require support in applying, please email . We More ❯
Bristol, Gloucestershire, United Kingdom Hybrid / WFH Options
Made Tech Limited
CI/CD Engaging with senior stakeholders for requirements gathering Collaborating with engineers via pair or mob programming Working with data scientists to productionize machine learning models Knowledge of statistics Collaborating across multidisciplinary teams Experience within the public sector Support in applying If you need this job description in another format or require support in applying, please email . We More ❯
network growth What we're looking for 2+ years of experience in data science, with experience delivering models into production Strong experience with Python and SQL Strong foundations in statistics and probability, with experience applying them in operational and/or financial contexts Comfort working in ambiguity and navigating messy or incomplete data Effective communication skills - you can explain technical More ❯
business case Representation of Fluence at industry conferences and other events Skill Requirements Master's degree in a relevant subject (environmental studies, business, economics, engineering, sciences, computer science, mathematics, statistics, etc.) or equivalent demonstration through additional work experience Minimum 5 years of sales, technical or commercial experience in the power generation or a related industry (directly in energy storage would More ❯
for internal/external partners or customers. 3 years of customer-facing experience in product implementations, technical solutions consultancy or technical sales. Preferred qualifications: Master's degree in Business, Statistics, Mathematics, Economics, Engineering or Applied Science, or a related field. 5 years of experience managing projects and working with analytics, software coding, or customer-side web technologies. 5 years of More ❯
understanding of model usage and business requirements Practical experience of interpreting complex data utilising strong analytical skills, ideally demonstrated by a good degree in a numerate discipline subject (e.g. statistics, maths, engineering, econometrics) Expertise in the use of statistical analysis software (e.g. SAS, Python or R) as well as MS Office Excellent communication, listening and writing skills. An ability to More ❯
understanding of model usage and business requirements Practical experience of interpreting complex data utilising strong analytical skills, ideally demonstrated by a good degree in a numerate discipline subject (e.g. statistics, maths, engineering, econometrics) Expertise in the use of statistical analysis software (e.g. SAS, Python or R) as well as MS Office Excellent communication, listening and writing skills. An ability to More ❯
Glasgow, Lanarkshire, Scotland, United Kingdom Hybrid / WFH Options
Virgin Money
understanding of model usage and business requirements Practical experience of interpreting complex data utilising strong analytical skills, ideally demonstrated by a good degree in a numerate discipline subject (e.g. statistics, maths, engineering, econometrics) Expertise in the use of statistical analysis software (e.g. SAS, Python or R) as well as MS Office Excellent communication, listening and writing skills. An ability to More ❯
understanding of model usage and business requirements Practical experience of interpreting complex data utilising strong analytical skills, ideally demonstrated by a good degree in a numerate discipline subject (e.g. statistics, maths, engineering, econometrics) Expertise in the use of statistical analysis software (e.g. SAS, Python or R) as well as MS Office Excellent communication, listening and writing skills. An ability to More ❯
understanding of model usage and business requirements Practical experience of interpreting complex data utilising strong analytical skills, ideally demonstrated by a good degree in a numerate discipline subject (e.g. statistics, maths, engineering, econometrics) Expertise in the use of statistical analysis software (e.g. SAS, Python or R) as well as MS Office Excellent communication, listening and writing skills. An ability to More ❯
understanding of model usage and business requirements Practical experience of interpreting complex data utilising strong analytical skills, ideally demonstrated by a good degree in a numerate discipline subject (e.g. statistics, maths, engineering, econometrics) Expertise in the use of statistical analysis software (e.g. SAS, Python or R) as well as MS Office Excellent communication, listening and writing skills. An ability to More ❯
understanding of model usage and business requirements Practical experience of interpreting complex data utilising strong analytical skills, ideally demonstrated by a good degree in a numerate discipline subject (e.g. statistics, maths, engineering, econometrics) Expertise in the use of statistical analysis software (e.g. SAS, Python or R) as well as MS Office Excellent communication, listening and writing skills. An ability to More ❯
understanding of model usage and business requirements Practical experience of interpreting complex data utilising strong analytical skills, ideally demonstrated by a good degree in a numerate discipline subject (e.g. statistics, maths, engineering, econometrics) Expertise in the use of statistical analysis software (e.g. SAS, Python or R) as well as MS Office Excellent communication, listening and writing skills. An ability to More ❯
understanding of model usage and business requirements Practical experience of interpreting complex data utilising strong analytical skills, ideally demonstrated by a good degree in a numerate discipline subject (e.g. statistics, maths, engineering, econometrics) Expertise in the use of statistical analysis software (e.g. SAS, Python or R) as well as MS Office Excellent communication, listening and writing skills. An ability to More ❯
understanding of model usage and business requirements Practical experience of interpreting complex data utilising strong analytical skills, ideally demonstrated by a good degree in a numerate discipline subject (e.g. statistics, maths, engineering, econometrics) Expertise in the use of statistical analysis software (e.g. SAS, Python or R) as well as MS Office Excellent communication, listening and writing skills. An ability to More ❯
understanding of model usage and business requirements Practical experience of interpreting complex data utilising strong analytical skills, ideally demonstrated by a good degree in a numerate discipline subject (e.g. statistics, maths, engineering, econometrics) Expertise in the use of statistical analysis software (e.g. SAS, Python or R) as well as MS Office Excellent communication, listening and writing skills. An ability to More ❯
understanding of model usage and business requirements Practical experience of interpreting complex data utilising strong analytical skills, ideally demonstrated by a good degree in a numerate discipline subject (e.g. statistics, maths, engineering, econometrics) Expertise in the use of statistical analysis software (e.g. SAS, Python or R) as well as MS Office Excellent communication, listening and writing skills. An ability to More ❯
understanding of model usage and business requirements Practical experience of interpreting complex data utilising strong analytical skills, ideally demonstrated by a good degree in a numerate discipline subject (e.g. statistics, maths, engineering, econometrics) Expertise in the use of statistical analysis software (e.g. SAS, Python or R) as well as MS Office Excellent communication, listening and writing skills. An ability to More ❯
understanding of model usage and business requirements Practical experience of interpreting complex data utilising strong analytical skills, ideally demonstrated by a good degree in a numerate discipline subject (e.g. statistics, maths, engineering, econometrics) Expertise in the use of statistical analysis software (e.g. SAS, Python or R) as well as MS Office Excellent communication, listening and writing skills. An ability to More ❯
understanding of model usage and business requirements Practical experience of interpreting complex data utilising strong analytical skills, ideally demonstrated by a good degree in a numerate discipline subject (e.g. statistics, maths, engineering, econometrics) Expertise in the use of statistical analysis software (e.g. SAS, Python or R) as well as MS Office Excellent communication, listening and writing skills. An ability to More ❯
understanding of model usage and business requirements Practical experience of interpreting complex data utilising strong analytical skills, ideally demonstrated by a good degree in a numerate discipline subject (e.g. statistics, maths, engineering, econometrics) Expertise in the use of statistical analysis software (e.g. SAS, Python or R) as well as MS Office Excellent communication, listening and writing skills. An ability to More ❯
data experimentation. Advanced SQL (essential), with working knowledge of Python for data manipulation and strategy modelling. Strong understanding of regulatory requirements in collections and recoveries. A degree in Mathematics, Statistics, Engineering, Computer Science, Finance or related fields is an advantage. Benefits. Compensation & Savings: Income Protection. Share Options Scheme. 5% back on in-app purchases. £200 for WFH Setup. Private Medical More ❯
