Job
Description
In the IBM Chief Information Office,you will be part of a dynamic team driving the future of AI and data science in large-scale enterprise transformations. We offer a collaborative environment where your technical expertise will be valued, and your professional development will be supported. Join us to work on challenging projects, leverage the latest technologies, and make a tangible impact on leading organisations.As a Data Scientist within IBM's Chief Information Office, you will support AI-driven projects across the enterprise. You will apply your technical skills in AI, machine learning, and data analytics to assist in implementing data-driven solutions that align with business goals. This role involves working with team members to translate data insights into actionable recommendations.Key Responsibilities:
Technical Execution and Leadership:Develop and deploy AI models and data analytics solutions.Support the implementation and optimisation of AI-driven strategies per business stakeholder requirements.Help refine data-driven methodologies for transformation projects.Data Science and AI:Design and implement machine learning solutions and statistical models, from problem formulation through deployment, to analyse complex datasets and generate actionable insights.Learn and utilise cloud platforms to ensure the scalability of AI solutions.Leverage reusable assets and apply IBM standards for data science and development.Project Support:Lead and contribute to various stages of AI and data science projects, from data exploration to model development.Monitor project timelines and help resolve technical challenges.Design and implement measurement frameworks to benchmark AI solutions, quantifying business impact through KPIs.Collaboration:Ensure alignment to stakeholders’ strategic direction and tactical needs.Work with data engineers, software developers, and other team members to integrate AI solutions into existing systems.Contribute technical expertise to cross-functional teams.
Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Bachelor’s or Master’s in Computer Science, Data Science, Statistics, or a related field is required; an advanced degree is strongly preferredExperience:5+ yearsof experience in data science, AI, or analytics with a focus on implementing data-driven solutionsExperience with data cleaning, data analysis, A/B testing, and data visualizationExperience with AI technologies through coursework or projects
Technical Skills:
Proficiency in SQL and Python for performing data analysis and developing machine learning modelsKnowledge of common machine learning algorithms and frameworkslinear regression, decision trees, random forests, gradient boosting (e.g., XGBoost, LightGBM), neural networks, and deep learning frameworks such as TensorFlow and PyTorchExperience with cloud-based platforms and data processing frameworksUnderstanding of large language models (LLMs)Familiarity with IBM’s watsonx product suiteFamiliarity with object-oriented programming
Analytical Skills:
Strong problem-solving abilities and eagerness to learn