Data Scientist analyzing claims data, optimizing processes and collaborating across departments at Allianz Spain. Utilizing statistical techniques and developing predictive models for operational efficiency.
About the role
- Lead Data Scientist driving AI strategies and technical solutions in a fast-paced startup. Providing leadership in data science and project management to achieve business goals.
Responsibilities
- Develop and execute AI strategies to achieve business objectives and expand AI capabilities.
- Translate insights from AI projects into actionable recommendations for clients.
- Stay updated on industry trends, competitive landscape, and emerging technologies to inform AI strategies.
- Gather and synthesise customer feedback and market trends to feed back into our product roadmap.
- Manage client accounts, ensuring satisfaction, retention, and alignment of project deliverables with client goals.
- Leads end-to-end project management for data science initiatives, including scoping, planning, stakeholder communication, and delivery of outcomes aligned to business objectives.
- Manage multiple commercial and technical stakeholders effectively. Able to effectively manage executive stakeholders.
- Lead, mentor, and grow a high-performing team of data scientists, ensuring project delivery excellence and professional growth.
- Design end-to-end AI systems that combine models, workflows, automation, and APIs.
- Lead the development and deployment of AI initiatives that address real-world business needs.
- Rapidly develop and iterate on AI prototypes that demonstrate value and feasibility.
- Guide the selection, development, and evaluation of ML and GenAI models for high-impact outcomes.
- Demonstrates proficiency across AI/ML libraries, GenAI platforms, APIs, and deployment frameworks.
Requirements
- 7+ years of hands-on experience in data science or ML engineering, including hands-on experience with Generative AI.
- Proficient in Python, R, SQL; experience with frameworks like TensorFlow, PyTorch, LangChain.
- Proven experience in developing data models and working with modern data stacks (e.g., dbt, Airflow, Snowflake, Databricks, cloud platforms).
- Demonstrated ability to design and implement AI application workflows by orchestrating multiple tools, APIs, and models to deliver end-to-end, production-ready solutions.
- Proven experience in mentoring and leading AI teams to achieve organisational goals.
Benefits
- Health insurance
- Flexible work arrangements
- Professional development opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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