Categories: Data Science, Artificial Intelligence, Analytics

Job Description:

Role Summary:

A data scientist collects and analyzes large datasets to uncover insights and create solutions that support organizational goals. They combine technical, analytical, communication skills to interpret data and influence decision-making.

Key Responsibilities:

• Gather data from multiple sources and prepare it for analysis.
• Analyze large volumes of structured and unstructured data to identify trends and patterns.
• Develop machine learning models and predictive algorithms to solve business problems.
• Use statistical techniques to validate findings and ensure accuracy.
• Automate processes using AI tools and programming.
• Create clear, engaging visualizations and reports to communicate results.
• Work closely with different teams to apply data-driven insights.
• Stay updated with the latest tools, technologies, and methods in data science.

Tools and Technologies:

• Programming languages: Python, R, SQL.
• Data visualization: Tableau, Power BI, matplotlib.
• Machine learning frameworks: TensorFlow, Scikit-learn, PyTorch.
• Big data platforms: Apache Hadoop, Spark.
• Cloud platforms: AWS, Azure, Google Cloud.
• Statistical tools: SAS, SPSS.

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.

Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here.