Ph3Position Overview /h3 pWe are looking for an experienced bData Scientist /b to join our bData Analytics /b team. As a Data Scientist you will not only bring technical expertise but also a deep understanding of business operations and strategy. Your work will directly influence decision-making and help shape the future of our organization through actionable insights drawn from complex datasets. /p pAs a Data Scientist, you will collaborate with cross‑functional teams, including business leaders, product managers, and engineers, to design and implement data‑driven solutions that align with the company’s goals. You will be expected to translate complex data into business value, leveraging machine learning, predictive modeling, and statistical analysis. /p h3Key Responsibilities /h3 ul libBusiness Insight Development: /b Understand the key business challenges and opportunities, and use data to develop solutions that align with strategic objectives. /li libData Strategy: /b Collaborate with leadership to define the data science roadmap and priorities based on business needs and opportunities. /li libPredictive Modeling Machine Learning: /b Build, deploy, and maintain machine learning models to forecast trends, optimise processes, and drive business outcomes. /li libData Analysis Visualization: /b Analyse large, complex datasets to extract actionable insights, and present findings to both technical and non‑technical stakeholders. /li /ul ul libData science pipeline: /b Advise, build and continuously improve the data science pipeline which best responds to team.blue analytics needs. /li /ul ul libCross‑functional Collaboration: /b Work closely with business leaders, product teams, and engineers to ensure that data solutions meet business requirements. /li libContinuous Improvement: /b Stay up to date with the latest trends in data science, AI, and machine learning to continuously improve the team’s capabilities. /li /ul h3Requirements /h3 ul liMaster’s or Ph.D. in Data Science, Statistics, Mathematics, Computer Science, or a related field. /li lib5 /b+ years of experience in data science, with a proven track record of solving complex business problems using data. /li liStrong understanding of business operations and the ability to align data science projects with business objectives. /li libCommunication Skills: /b Ability to translate technical insights into business recommendations and communicate with stakeholders at all levels. /li libProblem‑solving: /b Strong analytical thinking with the ability to handle complex and unstructured data. /li libTechnical Skills: /b ul liProficiency in programming languages such as Python, R, or Scala. /li liExperience with machine learning frameworks (e.g., TensorFlow, Scikit‑learn). /li liExperience with SQL and working with large data sets. /li liFamiliarity with cloud platforms (e.g., AWS, Azure) and big data tools (e.g., Hadoop, Spark). /li /ul /li /ul h3Come as you are /h3 pEveryone is welcome here. Diversity Inclusion are at our core. Far above any technical competence, we value respect, openness, and trusted collaboration. We do not tolerate intolerance. /p h3ESG /h3 pAt team.blue, our commitment to caring for the environment and each other is at the heart of everything we do. Our latest impact report showcases our ongoing ESG efforts and ambitious sustainability goals. Interested in learning more about our dedication to making a positive impact? Check it out here. /p p#LI-CC1 /p /p #J-18808-Ljbffr