Data Scientist Consultant

Company Description

Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change.

By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses.

From prototype to real-world impact - be part of a global shift by doing work that matters.

Job Description

We are seeking a highly skilled and motivated Senior Data Scientist with expertise in AI to join our Data&AI team. The ideal candidate will possess a strong background in data science, AI technologies, and advanced analytics. You will work closely with clients to understand their business needs, develop innovative AI solutions, and provide actionable insights that drive strategic decision-making.

Qualifications

• Proficient with LLMs (GPT, Claude, LLaMA, Mistral) and RAG pipelines using LangChain/LangGraph
• Experience with AWS Bedrock and SageMaker for deploying generative and ML models
• Strong in prompt engineering, embeddings, semantic search, and vector DBs (FAISS, Pinecone)
• Skilled in Python, TensorFlow, Keras, scikit-learn, Hugging Face, NumPy, Pandas
• Solid understanding of ML/DL techniques (SVMs, DNNs, Gradient Boosting) and applied statistics
• Proficient in SQL, NoSQL (MongoDB), and data visualization
• MLOps experience with CI/CD, model monitoring, experiment tracking, and Docker-based deployments
• Familiar with FastAPI, Airflow, Ray for orchestration
• Strong SDLC/project management (Agile, PMP) and collaboration in distributed teams
• Excellent English communication skills

Additional Information

Discover some of the global benefits that empower our people to become the best version of themselves:

• Finance: Competitive salary package, share plan, referral bonus;
• Career Development: Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership;
• Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences;
• Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme;
• Health: Global internal wellbeing programme, access to wellbeing apps;
• Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations.