Sr Data Scientist- Retail Industry GCP Knowledge Graphs

About the job you’re considering

We are seeking a highly skilled Data Scientist to drive the adoption of algorithmic decision-making at scale within Group Digital. This role will focus on developing and deploying machine learning models, neural networks, support MLOps practices, to enhance personalization, and automation within our digital products.
You will work closely with data engineers, product teams, and business stakeholders to build scalable data pipelines, CI/CD workflows, and ETL processes. The ideal candidate will have experience in retail, personalization web technologies, and cutting-edge AI methods, including Large Language Models (LLMs), Generative AI, and Knowledge Graphs.

Your role

Machine Learning & AI Development
•Develop and optimize predictive and prescriptive models to extract insights and enhance decision-making. Knowledgeable in supervised and unsupervised learning. Apply deep learning and neural network techniques for customer classification and profiling, customer segmentation and personalization.
•Utilize MLOps to efficiently deploy, monitor, and maintain ML models in production.
•Implement and fine-tune Large Language Models (LLMs) and Generative AI solutions for automation and user engagement.
•Explore and integrate knowledge graphs to enhance data relationships and improve AI-driven recommendations.
Data Engineering & Pipelines
•Work with data engineers to design and develop robust data pipelines for large-scale ETL processing using SQL and cloud-based solutions (GCP preferred).
•Write complex SQL queries for extracting, transforming, and loading (ETL) data efficiently. Implement CI/CD workflows to automate model training, deployment, and monitoring.
Collaboration & Agile Development
•Work in an Agile/DevOps environment, collaborating with cross-functional teams to drive data-driven innovation.
•Promote a data-centric culture by educating teams on the strategic importance of AI and analytics.
•Clearly communicate complex methodologies, results, and business insights to both technical and non-technical audiences.

Your skills and experience

• 7-10 years of experience in Data Science, Machine Learning, or related fields.
•Strong expertise in Python, SQL, and modern ML frameworks (TensorFlow, PyTorch, Scikit-Learn).
•Experience with MLOps tools (MLflow, Kubeflow, Airflow) for model deployment and monitoring.
•Proficiency in cloud platforms (AWS/GCP) and scalable data engineering.
•Strong understanding of probability theory, statistics, and experimental design (A/B Testing).
•Experience with collaborative software engineering practices (Agile, DevOps).
•Bachelor's or Master’s degree in Computer Science, Mathematics, Engineering, or related field.
•Experience with Knowledge Graphs (including the Neo4j tool) and their integration into AI/ML pipelines.
•Hands-on experience in LLMs (e.g., GPT, BERT, LLaMA, Claude) and Generative AI technologies.
•Background in Retail and Personalization Web Technologies.
•Understanding of IKEA’s digital ecosystem and data-driven decision-making.
•Proficiency in business intelligence (BI) tools and data visualization.

Life at Capgemini

Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:

• Flexible work
• Healthcare including dental, vision, mental health, and well-being programs
• Financial well-being programs such as 401(k) and Employee Share Ownership Plan
• Paid time off and paid holidays
• Paid parental leave
• Family building benefits like adoption assistance, surrogacy, and cryopreservation
• Social well-being benefits like subsidized back-up child/elder care and t