Senior Full Stack (GenAI) Data Scientist (m/f/d)

Job Level:  Professional
Location: 

BARCELONA, B, ES, 08005

Area of Expertise:  IT & Tech Engineering
Unit:  Allianz Services
Employing Entity:  Allianz Technology SE Spain Branch
Job Type:  Full-Time
Remote Job:  Hybrid working
Employment Type:  Permanent
ID:  85485
Position Cluster:  Non-Executive

 

85485 | IT & Tech Engineering | Professional | Non-Executive | Allianz Services | Full-Time | Permanent

Allianz Services is proud to serve and be part of Allianz Group, one of the world's leading insurers and asset managers. Our global footprint, with more than 7,300 employees located across ten countries and four continents, enables us to unlock value for our partners across the insurance value chain and deliver superior client experience within Allianz Group. At Allianz Services, we have a strong specialization in core insurance operations, shared services, business analytics, engineering, and management consulting. Our people and our trusted relationships with partners are what matter most. These are rooted in our values of compassion, integrity, and expertise and we strive to continuously evolve, improve, and deliver excellence while contributing successfully to the transformation of Allianz. Caring actively for the environment, for people, and for our customers is what makes us a great place to work and together we are shaping a better and more caring tomorrow.
Allianz Services is a company which belongs to the legal entity, Allianz Technology SE.  

 

Role overview 

Allianz Services is proud to serve and be part of Allianz Group, one of the world's leading insurers and asset managers. Our strong global footprint, with more than 6000 employees located across eight countries and four continents, enables us to unlock the full potential towards driving a superior client experience within Allianz Group.
Allianz Services within Allianz Technology plays a key role in Data Analytics and AI-driven transformation by providing impactful solutions, growing capabilities, and running selected innovation and scaling projects across the Allianz operating model. Efforts are focused on exploring new AI/ML approaches and emerging technologies for business-related applications and use-cases, working closely with Allianz’s business entities.
A Senior Full Stack Data Scientist with a focus on Large Language Model Development is being sought. As a Full Stack Data Scientist, you will be instrumental in improving and expanding explorative AI use-cases, specifically in the area of large language models. This is an extraordinary opportunity for you to apply your passion for cutting-edge AI development and machine learning to shape the future of the industry

 

What you do:

  • Develop, design, and maintain large language models using cutting-edge technologies and methodologies.
  • Propose system and model design for LLM-powered applications, supporting the design process based on stakeholder input and feedback.
  • Maintain, curate, and develop datasets for LLM evaluation and fine-tuning, defining methodologies for dataset annotation by domain experts.
  • Track recent innovations and models, proposing ways to use them in current and future applications developed by the team.
  • Work collaboratively with cross-functional teams to implement models and monitor outcomes.
  • Responsible for the full data science lifecycle, from problem definition to data exploration, data preparation, modeling, validation, and deployment.


What you bring:

  • Master's degree or Ph.D. in Computer Science, Data Science, AI, Machine Learning, Mathematics, Physics, or a related field.
  • Fluent English skills (written and spoken) are mandatory and additional language skills are welcome
  • Proven experience as a Data Scientist or similar role, preferably with a focus on large language model development.
  • Experience with machine learning libraries and deep learning frameworks such as TensorFlow, PyTorch, etc.
  • Experience with the HuggingFace stack.
  • Experience with the Sentence Transformer framework is a plus.
  • Experience in data manipulation languages (e.g., SQL).
  • Experience in classical Machine Learning applications.
  • Strong understanding of statistics and experience using statistical packages for analyzing datasets.
  • Excellent problem-solving abilities and communication skills, with the ability to explain complex concepts to non-technical team members.
  • Proven ability to work in a collaborative environment and to lead and drive complex operational and strategic initiatives.
  • We highly welcome candidates with a genuine interest and affinity for Information Technology (IT) and Generative Artificial Intelligence (GenAI), as these attributes are considered valuable assets to our team.


What we offer:

  • We offer a hybrid work model which recognizes the value of striking a balance between in-person collaboration and remote working incl. up to 25 days per year working from abroad
  • We believe in rewarding performance and our compensation and benefits package includes a company bonus scheme, pension, employee shares program and multiple employee discounts (details vary by location)
  • From career development and digital learning programs to international career mobility, we offer lifelong learning for our employees worldwide and an environment where innovation, delivery and empowerment are fostered
  • Flexible working, health and wellbeing offers (including healthcare and parental leave benefits) support to balance family and career and help our people return from career breaks with experience that nothing else can teach

#LI-IT1

 

Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges, is what makes us a unique employer. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us. 
We at Allianz believe in a diverse and inclusive workforce and are proud to be an equal opportunity employer. We encourage you to bring your whole self to work, no matter where you are from, what you look like, who you love or what you believe in. We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, disability or sexual orientation.

Join us. Let's care for tomorrow.