Lead Data Scientist and AI Developer

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.

We are seeking a talented and experienced Lead Data Scientist to join our team.  As a Lead Data Scientist, you will be responsible for developing and implementing innovative AI solutions, serve as a solution architect who leverages various types of AI to drive business insights and growth.  You will work closely with cross-functional teams to architect, develop, and deploy AI solutions that improve business processes and decision making. 

Daily challenges

• Collaborate with business stakeholders to identify key business challenges and opportunities and translate them into AI solutions and products
• Solution AI implementations, participate in RFP/RFI responses, and conduct pre-sales conversations 
• Lead cross-functional teams and other data scientists to design and implement AI solutions that improve business processes and decision-making 
• Design and develop end-to-end AI solutions, including AI architectures, ML engines, algorithms, data integration, and user interfaces 
• Analyze large, complex datasets to identify patterns, trends, and insights that drive business value 
• Advise, build, and maintain scalable AIOps pipelines and operationalize AI solutions to production applications 
• Communicate findings and insights to both technical and non-technical stakeholders in a clear and concise manner 
• Stay up to date with emerging technologies and trends in the AI space and bring innovative ideas to the team 

eXperience and skills required

• Master’s degree in Data Science, Computer Science, Mathematics, Statistics, or related field 
• 8+ years of experience in various AI domains such as Data Science, ML, NLP, Computer Vision
• 1+ year of GenAI actual development, including multi-modal solutions, leveraging OpenAI, Anthropic, Llama, Hugging Face, Bedrock, or other models and model suites
• 3+ years of experience in architecting AI solutions and platforms or working as an AI Solution Architect is an advantage 
• Ability to conduct customer-facing workshops and present to high level stakeholders, utilizing strong leadership and communication skills 
• Strong problem-solving and analytical skills, with the ability to think creatively and strategically to solve complex business challenges 
• Experience developing advanced AI models and algorithms 
• Strong programming skills in languages such as Python, Spark, Scala, etc 
• Experience working with platforms and cloud-native tools such as Azure ML, AWS SageMaker, VertexAI, Databricks, as well as open source tools and cognitive services available on the market 
• Experience working with toolkits and frameworks such as Scikit-learn, TensorFlow, PyTorch, MxNet 
• Familiarity with data visualization tools such as Tableau, Power BI, D3.js, Grafana 
• Ability to work independently and as part of a team, with excellent communication and collaboration skills 

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.

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.