Data Scientist

Job Description:

About DXC Bulgaria  

We are DXC - a Fortune 500 global IT services leader. In Bulgaria, we are among the largest employers with over 4,000 employees working on the company's entire IT portfolio. We are flexible - we provide everything you need to comfortably work from home, but we also keep our offices open for collaboration, meetings, and building a strong team spirit. We tailor everyone’s development path to their individual interests through training and additional certifications.

Our experience and desire to grow, our mission, and our values ​​create an environment where ambitious people become successful at home. At home - in Bulgaria.

Data Scientists are members of the Analytics team in Bulgaria. They work on different Analytics projects to give valuable insights for our clients. Our Data Scientists are working with cutting-edge technologies to deliver solutions that solve major business challenges. Some of these include Machine Learning, Deep Learning, Natural Language Processing, and Computer Vision, using: Python Pandas, NumPy, MatPlotLib, Scikit Learn, OpenCV, TensorFlow, PyTorch, Jypiter, Keras, Caffee, Spark, and others.

Here you will gain hands-on experience working with world-famous brands and Fortune 500 companies in a diverse team where everybody has a lot to contribute with - including yourself! The team is constantly growing with over 180 experts in the field.

As a member of our Data and AI team, your work can inspire change for DXC’s highest-profile global customers. We live in a data-driven world where data can be leveraged for reporting & analyses and for data-driven products and applications. Our team has strong experience in Analytics solutions, Data Engineering and Data Science.

Join our Data and AI Team!

Daily challenges

• Research and develop statistical learning and machine learning models for data analysis
• Assess the effectiveness and accuracy of new data sources and data gathering techniques
• Implement statistical or other mathematical methodologies as needed for specific models or analysis
• Use predictive modelling to increase and optimize customer experiences, revenue generation, and targeting and other business outcomes
• Mine and analyse data from various data sources to drive optimization and improvement of client needs and business strategies
• Develop custom data models and algorithms to apply to data sets
• Work with a variety of statistical computer languages to manipulate data and draw insights from large data sets

eXperience and skills required

• Languages: Python and SQL
• Managed Solution: AWS SageMaker, Azure OpenAI Service, Azure ML Studio, Databricks
• ML packages: TensorFlow, MXNet, Keras, SciKitLearn, cv2, Spark MLLib, onnx, tflite
• Notebook environments: Jupyter, Zeppelin
• Data science general: Numpy, pandas, plotly, shiny
• Advanced statistical techniques and concepts: Generative AI, regression, properties of distributions, statistical tests, and proper usage, etc.
• Practical experience with variety of machine learning techniques: Computer vision, Clustering, Decision tree learning, Linear and Non-linear Modelling, Data Mining, Artificial neural networks, NLP, etc.

Company benefits

• Competitive remuneration package
• Additional Medical and Life insurance
• 4 days additional paid leave (total: 24 days)
• The possibility to work entirely remotely
• Food vouchers
• Training, continuous learning and career development in the largest IT company on the market
• Unlimited access courses from a bunch of external partners for the best learner's experience (e.g., LinkedIn Learning, Udemy)
• Access to a foreign language learning platform
• Stable employment in an international company
• Advancement opportunities within the organization (a variety of interesting projects with the array of technologies and tools)
• Flexibility in work arrangement (hybrid or fully remote work, the home office culture is in our DNA)
• Workplace equipment to organize your home office (e.g., chair, desk, additional monitor, headset etc.)
• DXC Partner courses and certifications (Microsoft, SAP, ServiceNow, AWS, Google, Dell Technologies, IBM, Microfocus, Salesforce, Red Hat, VMware, Workday)
• Employee Referral Program - a financial bonus for the referrer for successful candidate recommendation
• Employee Recognition Program with points assigned by colleagues for the recognized employees (exchangeable for prizes)
• Employee Assistance Program (providing 24/7 support for employees and their families in difficult life situations)
• Opportunity to join our numerous charity and ecology-related events organized by our Employee Ambassadors team

We Deliver eXcellence for our Customers and colleagues every day. Our values form the foundation of everything we do and every decision we make.

If you feel comfortable with the above-mentioned requirements, please send us your CV in English. At DXC our employees’ safety and well-being remain a key priority for us. Therefore, we continue with stay-at-home recruiting and video interviewing for the foreseeable future.

Please note only shortlisted candidates will be contacted.

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.