Senior Data Science Consultant - Healthcare AI Strategy

pwc singapore

Singapore

On-site

SGD 180,000 - 240,000

Full time

14 days+

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Job summary

PwC Singapore is seeking a Data Science Senior Consultant within Advisory - Technology Strategy. You will bridge business challenges with cutting-edge AI solutions, applying rigorous statistics, modelling, and software development to deliver scalable data products.

You will work with stakeholders to identify AI opportunities, develop data strategies, validate models, and deploy solutions using Python (Flask, FastAPI, Streamlit) and Azure cloud, ensuring governance and value across client

Qualifications

5 to 8 years of Data Science experience or related AI/Analytics role
Collaborate with business stakeholders to identify AI opportunities
Evaluate and recommend AI frameworks, tools and platforms
Lead AI feasibility studies and projects to demonstrate value
Hands on development end to end AI projects using Python, Flask, FastAPI and Streamlit
Have experience in cloud services of Azure to deploy AI products
Collaborate with AI architects and engineers to design AI solutions
In-depth understanding of AI technologies, including ML/DL and GenAI techniques
Good knowledge of AI frameworks, tools, and platforms such as TensorFlow, PyTorch
Knowledge of GenAI libraries like HuggingFace, LangChain, RAGAS and more
Bachelor's degree in Computer Science or related field; strong planning, analytics, problem-solving
Excellent communication and interpersonal skills to work with clients and team
Comfortable working with statistics
Advanced PowerPoint and Excel skills
Strong business acumen and understanding of AI trends
Strong leadership and proactive attitude
Advanced communication and storytelling skills
Highly adaptable with shifting priorities
Past experience in Healthcare is mandatory

Responsibilities

Immerse in clients’ businesses to understand goals and translate insights into data strategies
Collect and analyse data to uncover patterns and generate insights
Drive initiatives across business understanding, data comprehension, and data preparation
Apply advanced statistical and mathematical modelling techniques to develop solutions
Ensure models are designed with accuracy, scalability, and efficiency
Develop, validate, and operationalise models by integrating them into applications
Ensure solutions deliver strategic value throughout their lifecycle
Gain deep understanding of business processes and design impactful solutions
Establish and enforce data standards, privacy, accuracy, and accessibility
Support data management, migration, strategic planning, change management, and compliance
Harness the transformative power of data to unlock business value