AI/ML/Data Engineer

• Perform data analysis tasks and contribute to data-driven projects across analytics, engineering, and AI initiatives.
• Support senior data scientists, data engineers, or AI/ML engineers by contributing to data modeling, analysis, and solution development.
• Assist in generating data reports, dashboards, and visualizations, and support the presentation of insights to stakeholders.
• Participate in data collection, data validation, data cleansing, and data preprocessing activities to ensure high data quality.
• Contribute to the development and maintenance of data pipelines, data integrations, and analytical workflows.
• Support feature engineering, experimentation, and basic model development for AI and machine learning use cases.
• Collaborate with cross-functional team members to monitor project progress, meet milestones, and deliver agreed results.
• Contribute to data visualization and data communication efforts to improve clarity, usability, and decision-making.
• Apply established best practices in data analysis, data engineering, and AI/ML, including documentation and reproducibility.
• Continuously develop technical and analytical skills through hands-on experience and exposure to emerging technologies.

• Bachelor's degree in a relevant field, or an equivalent combination of education and practical experience.
• Typically 2-4 years of relevant industry experience, with exposure to analytical, data engineering, or AI/ML roles.
• Proficiency in data collection techniques, data quality assurance, and basic analytical or statistical modeling.
• Working knowledge of relational databases and SQL.
• Experience with analytical or scientific programming languages (e.g. Python).
• Familiarity with data processing, transformation, and integration concepts (ETL/ELT).
• Basic understanding of machine learning concepts, data pipelines, and analytical workflows.
• Awareness of data security, privacy, and governance principles.
• Strong willingness to continuously learn and stay current with industry knowledge and technology.

Nice to have

• Master's degree in a relevant field is considered an advantage.
• Exposure to cloud-based data platforms (e.g. Azure, AWS, GCP) is a plus.
• Familiarity with data and analytics tools such as Databricks, Spark, Azure Data Factory, Synapse, or similar technologies is a plus.
• Experience with machine learning libraries or frameworks (e.g. scikit-learn, TensorFlow, PyTorch) is an advantage.
• Understanding of MLOps, experimentation workflows, or model deployment concepts is a plus.
• Possession of relevant certifications in data analysis, data engineering, cloud platforms, or AI/ML is a plus.

At DXC, we believe strong connections and a sense of community drive innovation and success. Our work model emphasizes in-person collaboration, while still offering flexibility to support wellbeing, productivity, and individual work styles. We are deeply committed to: * Inclusion and diversity * Professional growth and development * A culture where everyone feels supported and empowered to thrive Ready to build your future with DXC Technology? Apply now and become part of a team where your growth is just as important as the technology we create. At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We're committed to fostering an inclusive environment where everyone can thrive. At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We're committed to fostering an inclusive environment where everyone can thrive.