Data Scientist

At Kpler, we are dedicated to helping our clients navigate complex markets with ease. By simplifying global trade information and providing valuable insights, we empower organisations to make informed decisions in commodities, energy, and maritime sectors.   Since our founding in 2014, we have focused on delivering top-tier intelligence through user-friendly platforms. Our team of over 850 experts from 69 countries works tirelessly to transform intricate data into actionable strategies, ensuring our clients stay ahead in a dynamic market landscape. Join us to leverage cutting-edge innovation for impactful results and experience unparalleled support on your journey to success.   Your Future Position    As a data streaming engineer in a data platform tribe, you will create, evolve and maintain complex stateful Flink pipelines. You will be responsible for raising the bar on the operational maturity of our streaming pipelines and support the continued adoption of streaming technologies within Kpler. 

Company description: Ericsson AB Job description: Join our Team About this opportunity: We are looking for a Data Scientist to join our Data Management team within BNEW RCE LO Hardware Management. In this role, you will build AI and Analytics solutions end-to-end – from data collection and preparation to deployment – in close collaboration with teams across BNEW and other parts of Ericsson.   As a Data Scientist, you will develop methods, processes, and systems that turn data into actionable insights to enable business value creation. You will be part of the team driving our overall data strategy and will work across several teams to solve business problems through building data pipelines, identifying trends and patterns, and applying predictive analytics and advanced AI.   What you will do: Execute and evolve our AI and analytics strategy within Hardware Management Design and implement data pipelines from source systems to analytical and AI solutions Develop and deploy machine learning, LLM-based and advanced analytics models (including RAG and agentic AI frameworks) to solve complex business challenges Build and maintain APIs and services to operationalize AI and analytics solutions Work closely with stakeholders to understand business problems, define data requirements, and propose appropriate analytical approaches Translate data insights into clear recommendations and drive adoption together with business stakeholders Contribute to continuously improving our data strategy, data governance and ways of working Collaborate in a global environment, interfacing with different areas in Ericsson and sharing best practices   The skills you bring: A Master’s or higher degree in Computer Science, Statistics, Mathematics, or related disciplines Proven academic training in statistics Deep/broad knowledge in machine learning, statistics, optimization, or related fields Strong analytical and conceptual problem-solving skills, including the ability to structure and resolve ambiguous problem statements Ability to understand underlying business problems and translate them into data requirements and suitable analytical approaches Ability to orchestrate and propose different technologies (AI, automation, integration and data solutions) to solve complex business challenges Solid Python knowledge for data science (data processing, modeling, visualization, and deployment) Experience working as a data scientist Experience with LLMs, RAG architectures and agentic AI frameworks Experience in building and integrating APIs Good understanding of Ericsson, its business areas and how data and AI can create value in a network/hardware context is a plus. Strong collaboration skills and team spirit, with a proactive, curious and positive learning mindset   If you recognize yourself in this profile and want to work with cutting-edge AI and analytics in a global technology leader, we look forward to your application.