Job Description:

DXC Technology is a global professional services company whose mission is to lead the digital transformation of our clients by advising and guiding them in the application of technology to obtain the best results and increase the competitiveness of their companies. With more than 130,000 professionals and expert technologists, collaborating in more than 70 countries together with an exceptional network of partners, we offer advanced IT services and solutions.

In Spain, we are one of the main leaders in the IT market. We have nearly 8,000 professionals, distributed in thirteen locations, with centers of excellence in cutting-edge technologies such as Cloud, Business Intelligence, AI, or Automation among many others, serving more than 200 customers from all industries in the public and private sectors. We work with leading companies in the country that trust us to guide their digital transformation.

We develop active policies of diversity and inclusion of people with disabilities and we are proud to have a representation of approximately 49% of female professionals.

At DXC Spain we are looking for a Data Scientist - Machine Learning Models Development to join our great team of Analytics.

We are seeking an skilled and motivated Data Scientist to join our team. The ideal candidate will have experience in developing machine learning models and a strong background in Python development. This role requires weekly visits to customer facilities, so the candidate must be based in Asturias.

Requirements:

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.
• Proven experience in developing machine learning models.
• Proficiency in Python and experience with libraries such as scikit-learn, pandas, and Py Torch.
• Strong analytical and problem-solving skills.
• Excellent communication and interpersonal skills.
• Ability to work independently and as part of a team.
• Willingness to travel to customer facilities on a weekly basis.
• Experience with other machine learning frameworks and tools.
• Knowledge of data visualization tools and techniques.
• Familiarity with cloud platforms and services.

Tasks:

• Develop and implement machine learning models using Python.
• Utilize libraries such as scikit-learn, pandas, and Py Torch for data analysis and model development.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
• Perform data preprocessing, feature engineering, and model evaluation.
• Communicate findings and insights to stakeholders through reports and presentations.
• Visit customer facilities on a weekly basis to gather requirements, provide updates, and ensure successful project delivery.

What will you find at DXC?

• Professional development.

• Leading projects in market reference clients.

• Excellent work environment.

• Flexibility and work-life balance.

• Work with leading technologies within the IT sector.

• Access to DXC University with unlimited certifications.

• Social and responsible commitment.

• Stable employment.

• Social benefits.

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**.**