Senior Data Scientist

Job Description

Key Responsibilities

• Identify, analyse, define and understand business problems. Collecting, cleaning, and preprocessing data to ensure its quality and reliability to build solutions. Prototype data science models. Use exploratory analysis methodologies to identify patterns and trends to use with the right statistical methods (clustering, PCA, regression, significance testing). Work with descriptive and predictive analytics (e.g. linear regression & propensity models, customer segmentation, data mining and trigger identification). Work with the Machine Learning Engineer, within the data function, to implement and productionise the models whilst monitoring the performance. Evaluating the performance of models and refining them as needed Presenting the results and suggestions to relevant parties by using easily understandable visuals and concise reports Working with teams across different functions to implement solutions based on data analysis Identify, analyse, define and understand business problems. Collecting, cleaning, and preprocessing data to ensure its quality and reliability to build solutions. Prototype data science models. Use exploratory analysis methodologies to identify patterns and trends to use with the right statistical methods (clustering, PCA, regression, significance testing). Work with descriptive and predictive analytics (e.g. linear regression & propensity models, customer segmentation, data mining and trigger identification). Work with the Machine Learning Engineer, within the data function, to implement and productionise the models whilst monitoring the performance. Evaluating the performance of models and refining them as needed Presenting the results and suggestions to relevant parties by using easily understandable visuals and concise reports Working with teams across different functions to implement solutions based on data analysis What we are looking for Bachelor’s in computer science, Machine Learning, Artificial Intelligence, or a related field. Certifications on AWS AI, Microsoft OpenAI or Snowflake would be considered a plus. At least 3 years of experience as a Data Scientist, developing complex AI and Machine Learning solutions. Deep knowledge on Python and Machine/Deep Learning Frameworks like PyTorch, Keras, SciKit Learn or Tensorflow. Deep knowledge on cutting-edge Machine Learning and Deep Learning technologies and techniques. Good Knowledge on AWS AI and Machine Learning Offering (like SageMaker and BedRock) Good Knowledge on Generative AI concepts and application Experience on developing Data Science Projects in complex environments Experience on Data Wrangling and Exploratory data Analysis Experience developing Machine Learning and Deep Learning Models that can be productionized Experience on conducting experiments and identifying the best techniques to apply to different use cases and solutions Great Communicating with commercial stakeholders, explaining data concepts in a non-technical language. A dynamic personality with a very flexible approach. Product Mindset. Adaptive, resilient, and collaborative. Bachelor’s in computer science, Machine Learning, Artificial Intelligence, or a related field. Certifications on AWS AI, Microsoft OpenAI or Snowflake would be considered a plus. At least 3 years of experience as a Data Scientist, developing complex AI and Machine Learning solutions. Deep knowledge on Python and Machine/Deep Learning Frameworks like PyTorch, Keras, SciKit Learn or Tensorflow. Deep knowledge on cutting-edge Machine Learning and Deep Learning technologies and techniques. Good Knowledge on AWS AI and Machine Learning Offering (like SageMaker and BedRock) Good Knowledge on Generative AI concepts and application Experience on developing Data Science Projects in complex environments Experience on Data Wrangling and Exploratory data Analysis Experience developing Machine Learning and Deep Learning Models that can be productionized Experience on conducting experiments and identifying the best techniques to apply to different use cases and solutions Great Communicating with commercial stakeholders, explaining data concepts in a non-technical language. A dynamic personality with a very flexible approach. Product Mindset. Adaptive, resilient, and collaborative. Challenge accepted? Check out the Betsson Group Blog to find out what our employees are talking about Check out the Betsson Group Blog to find out what our employees are talking about If you are interested to learn more, please apply with your CV in English. If you are interested to learn more, please apply with your CV in English. By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy

Required Skills