We are seeking a Senior Data Scientist to join a flagship platform — a large-scale distributed application built to enable teams to collaborate on complex projects, surface key insights, and deliver actionable analysis to Fortune 500 clients. The platform supports multi-phase transactions such as mergers, acquisitions, and divestitures, giving both PwC teams and clients visibility, control, and detailed reporting throughout the entire process.
This is a high-profile initiative leveraging microservices, modern architecture, and cutting-edge AI technologies, with a focus on the highest technical quality and innovation.

REQUIREMENTS

• 5+ years of experience in applied Data Science or Machine Learning.
• Bachelor’s or Master’s degree in Computer Science, Data Science, or related field.
• Strong expertise in large-scale neural networks, deep learning, and reinforcement learning techniques.
• Practical exposure to GenAI projects and frameworks (RAG apps, vector DBs, LangChain, LlamaIndex, agent orchestration).
• Advanced knowledge of Python and ML libraries/frameworks (SciPy, Scikit-learn, TensorFlow, PyTorch, PyMC, pgmpy, etc.).
• Hands-on experience with cloud computing platforms (Azure preferred; AWS/GCP also considered).
• Proven understanding of the ML lifecycle with experience in MLOps/DataOps practices.
• Strong analytical, debugging, and problem-solving skills with attention to detail.
• Excellent communication skills; fluent in English.
• Must be able to work on US time zones

ABOUT US

We are a software house with 18 years of experience and a global portfolio of projects. We help businesses modernize, scale, and innovate through custom software solutions — always with a focus on flexibility and quality. Our team embraces unconventional ideas and new technologies, delivering solutions that drive real impact. If you value professionalism, creativity, and a strong engineering culture, you’ll feel at home here.
Job Type: Full-time
Pay: Up to $180,000.00 per year

Experience:

• Data Scientist: 4 years (required)

Work Location: Remot

• Develop and train transformer-based models for both text and images.
• Architect and oversee the end-to-end ML lifecycle: data preparation, model design, training, validation, deployment, and monitoring.
• Collaborate with cross-functional teams (data scientists, engineers, domain experts) to design and implement AI-driven solutions at enterprise scale.
• Apply RAG techniques, vector databases, and agentic frameworks to enhance AI models with contextual and external data.
• Implement probabilistic graphical models (Bayesian Networks, Markov Random Fields, Factor Graphs) where applicable.
• Stay current with the latest advancements in AI/ML and integrate new techniques into production-ready solutions.