Data Science

Job Description

At BT International, our purpose is to keep the world connected. As part of BT, we build on almost 180 years of innovation and expertise to deliver secure connectivity and digital services to some of the worlds leading multinational businesses and organisations. Our customers trust us to safeguard their data, drive their digital transformation and keep their businesses running.

With colleagues on the ground across the world and supporting customers wherever they need to operate, BT International offers a truly global experience. Whether its about providing cloud connectivity, helping organisations collaborate, or enabling innovation in cybersecurity and digital services, youll be part of a team that shapes how businesses succeed in a world that is being transformed by AI.

If you have the drive and ambition to make an impact on a global stage, BT International is where it happens.

About Us

At BT, we are at the forefront of leveraging cutting-edge artificial intelligence and machine learning technologies to drive innovation and solve complex business problems. Our team is composed of forward-thinking professionals who are passionate about technology and its potential to transform industries. We are currently seeking a highly skilled and experienced Senior Data Scientist with expertise in Large Language Models (LLMs) and Generative AI (GenAI) to join our dynamic team.

Position Overview

As a Senior Data Scientist with LLM/GenAI skills, you will play a critical role in advancing our AI capabilities and driving the development of innovative solutions that harness the power of language models and generative AI. You will work closely with cross-functional teams to design, implement, and optimize AI models, ensuring they deliver actionable insights and tangible business value. Your expertise will be pivotal in shaping our AI strategy and contributing to the overall success of our AI initiatives.

Key Responsibilities

• Lead the design, development, and deployment of Large Language Models (LLMs) and Generative AI solutions
• Conduct research and stay up-to-date with the latest advancements in AI, machine learning, and natural language processing (NLP)
• Develop and implement novel algorithms and models to solve complex problems and enhance our AI capabilities
• Collaborate with data engineers, software developers, and product managers to integrate AI models into production systems
• Perform data analysis and feature engineering to prepare datasets for training and evaluation of AI models
• Optimize model performance and scalability through rigorous testing and tuning
• Communicate findings and insights to both technical and non-technical stakeholders
• Mentor and guide junior data scientists and engineers, fostering a culture of learning and innovation
• Contribute to the development of best practices, coding standards, and documentation for AI projects

Qualifications

• Masters or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field
• 5 years of experience in data science, with a focus on NLP, LLMs, and generative AI
• Proficiency in programming languages such as Python, R, or Java
• Strong experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Hugging Face Transformers)
• Nice to have: In-depth understanding of deep learning techniques and architectures (e.g., Transformers, RNNs, CNNs)
• Proven track record of deploying AI models in production environments
• Excellent problem-solving skills and the ability to think creatively and strategically
• Strong communication skills and the ability to convey complex technical concepts to diverse audiences
• Experience with cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes) is a plus

Preferred Skills

• Experience with fine-tuning and optimizing LLMs for specific tasks and domains
• Knowledge of ethical AI practices and the ability to implement fairness, accountability, and transparency in AI systems
• Familiarity with A/B testing, experimental design, and statistical analysis
• Publications or contributions to the AI/ML community through conferences, journals, or open-source projects

Additional Allowances & Benefits

• Bonus
• Company car or car allowance
• Health Insurance
• Cafeteria
• Smart working allowance

A few points to note

Although these roles are listed as full-time, if youre a job share partnership, work reduced hours, or any other way of working flexibly, please still get in touch. Please note that as part of our recruitment process, we conduct background checks, which include verification of the highest educational qualification. Additionally, for certain positions, a certificate of good conduct may be requested following a successful application.

Dont meet every single requirement?

Studies have shown that women and people who are disabled, LGBTQ , neurodiverse or from ethnic minority backgrounds are less likely to apply for jobs unless they meet every single qualification and criteria. We're committed to building a diverse, inclusive, and authentic workplace where everyone can be their best. So, if youre excited about this role but your past experience doesnt align perfectly with every requirement in the , please apply anyway you may just be the right candidate for this or other roles in our wider team.

Locations: Building 31, Budapest, Hungary

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