
Senior Data Scientist, AI
5 days ago
Senior Data Scientist, AI role at ESW. This hybrid role can be based from our office in Dublin or Madrid. You will be a key member of our newly established AI team, bringing deep technical expertise and collaborating with the Principal Data Scientist who will provide mentorship.
You will work with a compact, dynamic, cross-functional team alongside Product and Engineering, receiving direct mentorship from senior leadership. This is a unique opportunity to shape the future of AI within our organisation and make a significant impact from day one.
Responsibilities- Problem Formulation & Strategy: Partner with peers across Product and the wider business to translate complex and ambiguous business challenges into well-defined, data-driven strategies and AI use-cases that deliver significant business value.
- Model & System Development: Own end-to-end design, development, training and evaluation of machine learning models and LLM-enabled systems, ensuring long-term scalability and maintainability and addressing identified business needs.
- Model Performance & Excellence: Establish and champion MLOps best practices, including standards for model monitoring, evaluation, and CI/CD for ML & AI; ensure production systems are resilient, performant, and continuously improving.
- Influential Communication: Clearly articulate complex technical designs, experimental results, and strategic recommendations to stakeholders, including senior leadership, influencing technical roadmaps and product strategy.
- Technical Leadership & Mentorship: Act as a technical leader within the multi-disciplinary team; mentor and guide other data scientists, conduct code reviews, and foster technical excellence and collaborative learning.
- Drive Innovation: Actively research, prototype, and champion the latest AI/ML techniques, tools, and technologies.
- 5+ years of experience as a Data Scientist with a proven track record of leading complex end-to-end AI/ML projects delivering significant business value.
- Bachelor's or Master's degree in a quantitative field (e.g., Computer Science, Statistics, Engineering, Physics). A PhD qualification is a plus.
- Strong statistical knowledge and understanding of a broad range of ML algorithms / LLMs. Proficient in Python and data science ecosystem; proficient with one or more ML frameworks (TensorFlow, PyTorch, Scikit-learn).
- Strong SQL skills and understanding of modern database systems.
- Experience designing and building production-grade ML and generative AI systems.
- Experience with LLM orchestration tooling (e.g., LangChain, LlamaIndex) for complex agentic workflows; RAG; LLM fine-tuning experience a plus.
- Hands-on cloud development experience on Azure (Fabric, AI Foundry) or GCP (Vertex AI); experience designing and implementing MLOps pipelines.
- Experience with containerisation (Docker, Kubernetes) and experiment tracking (MLflow, etc.).
- Natural leader and team player, adept at guiding technical discussions, aligning team members, and building consensus with stakeholders.
- Exceptional written and verbal communication skills, with the ability to distil technical concepts into clear, actionable insights for technical and executive audiences.
Our purpose is simple: to create moments that matter between people and the brands they cherish. We enable brands to expand their global reach, delivering seamless ecommerce experiences for consumers worldwide. Through our integration solutions, we provide a complete international checkout experience, including local duties, taxes, fulfilment, delivery management, and global returns and payment processing capabilities.
Guided by our values—Own It, Champion Simplicity, Win as One, and Debate then Commit—we strive to foster innovation, accountability, and teamwork, creating solutions that inspire trust and drive impactful results.
Why join us?- Competitive salary and benefits: Your financial well-being is important to us.
- Professional and personal development: We will nurture your talent for growth and success throughout your career with ESW.
- Hybrid Working: Flexibility of hybrid working with the best of office and remote work.
- Diversity, Belonging & Inclusion: A culture that values every individual and fosters an environment where uniqueness is encouraged.
ESW is an equal opportunity employer, and we're proud of our ongoing efforts to foster diversity, equity, & inclusion in the workplace. If you require any reasonable accommodations or adjustments throughout the hiring process, please let us know. We are dedicated to ensuring equal access and opportunity for all candidates.
Seniority level- Mid-Senior level
- Full-time
- Engineering and Information Technology
- Industries: Software Development
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