Data Scientist
Are you a motivated Data Scientist, willing to grow as a professional and work on large-scale projects, using different working approaches that are both diverse and cutting-edge? Are you passionate about innovative and top-notch software solutions and want to be part of like-minded professionals? Do you enjoy working in a fast-paced, yet collaborative environment?
If your answer is “Yes”, we would love to talk to you.
What your responsibilities are going to be?
- Apply large language models (LLMs) to specific business problems to extract, process, classify and derive insights from the information hidden in unstructured datasets.
- Develop domain- or task-specific language models for business problems when proprietary or off-the-shelf models cannot be used.
- Evaluate the performance of machine learning models and make recommendations for improvement.
- Research and experiment with key technologies to remain up to date with the state of the art in NLP and generative AI research.
- Generate clean, efficient, and documented Python code.
- Offer direction and expertise to junior team members, promoting a culture of learning and knowledge sharing.
- Actively participate in code reviews and contribute to the establishment of software development best practices.
- Assist in data projects assessment, discovery, and design phases
What qualifications are needed?
- 3+ years of experience as Data Scientist and hands-on experience with large language models (GPT, XLNet, T5, etc.).
- Advanced skills in Python development including libraries like NumPy, SciPy and experience with SQL.
- Strong communication and presentation skills, with the ability to explain technical concepts to non-technical stakeholders.
- Practical experience in working with cloud platforms, MS Azure, AWS or Google Cloud.
Advantage
- PhD or Master’s degree in Computer Science, Data Science, Machine Learning, Theoretical Linguistics or a related field. Relevant working experience may compensate for lack of education.
- Experience with containerization, Kubernetes (K8S) and application deployment.
- Knowledge or experience with vector databases such as Pinecone, Milvus, or Weaviate would be beneficial
By joining us:
- You will have the chance to bring your technical expertise, enthusiasm, and entrepreneurial mindset, and shape the way we transform the business (and lives) of our clients, partners and society.
- You will be surrounded by other highly performing team members and will have the chance to grow and scale with us.
- You will become part of a thrilling and collaborative environment where you will be able to share your ideas and gain insightful feedback.
- You will enjoy flexibility and be able to keep the balance between your personal and professional life and focus on what’s important.
If you are interested in this offer, please send us your CV and a portfolio.
All applications will be treated with strict confidentiality. Only short-listed candidates will be contacted.
We believe that different perspectives drive meaningful change and help us build cutting-edge technology solutions. Our commitment to inclusion ensures that every individual—regardless of background, identity, or personal characteristics—feels valued, respected, and empowered. As an equal opportunity employer, we base hiring decisions on experience, skills, qualifications, and potential.
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Benefits:
- We enjoy the flexibility to work from everywhere and this is a crucial point in the way we operate
- We believe in personal choices, so we have a flexible benefits system where you can choose what works for you
- Working with the people you value is important to us, so we make sure to provide generous referral bonuses and awards
- We encourage continuous learning and development, hence we provide a multitude of training, certification, and leadership programs
- We care about our people’s well-being and we make sure to include mental health benefits and workshops
- We love spending time together so we have frequent teambuilding activities, events and gatherings
- We offer you the opportunity to grow in a multinational environment by working with international teams and clients