S&C Global Network - AI - Life Sciences -Data Science Consultant
On-siteGurugram, Haryana, India
Job Summary
Deliver strategic advice to clients by providing data-driven recommendations that enhance business outcomes in the life sciences sector. Independently manage communications with clients, ensuring clear understanding of project objectives and progress updates. Design and implement GenAI, RAG, or Agentic AI algorithms tailored to address specific business challenges. Collaborate with cross-functional teams, leveraging skills in data engineering and business intelligence tools to support the delivery of consulting projects for global clients. Develop assets and methodologies, including research and white papers, while executing transformational change plans aligned with client strategy. Co-lead proposals and business development efforts to coordinate consensus-driven deliverables.
Required Qualifications
- GenAI
- RAG
- Agentic AI
- Python
- SQL
- AI/ML
- Visualization (Power BI or Tableau)
- Bachelor's or Master's degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field
- Extensive GenAI expertise with a track record of creating and deploying GenAI and Agentic AI solutions
- Proven experience (4+ years) in working on Life Sciences/Pharma/Healthcare projects and delivering successful outcomes
- Excellent understanding of Pharma data sets – commercial, clinical, RWE (Real World Evidence) & EMR (Electronic medical records)
- Hands-on experience of working across one or more of these areas such as real-world evidence data, R&D clinical data, digital marketing data
- Hands-on experience in building and deployment of Statistical Models/Machine Learning including Segmentation & predictive modeling, hypothesis testing, multivariate statistical analysis, time series techniques, and optimization
- Proficiency in Programming languages such as Python, SQL, Spark, etc.
- Ability to work with large data sets and present findings/insights to key stakeholders
- Data management using databases like SQL
- Experience with any of the cloud platforms like AWS, Azure, or Google Cloud for deploying and scaling language models
- Excellent analytical and problem-solving skills, with a data-driven mindset
- Strong writing skills to build points of view on current industry trends
- Good communication, interpersonal, and presentation skills
- Relevant experience in the required domain
- Strong analytical, problem-solving, and communication skills
- Ability to work in a fast-paced, dynamic environment
Desired Qualifications
- R
- Spark
- data bricks
- Ability to leverage design thinking, business process optimization, and stakeholder management skills
- Experience with any of the Data Visualization tools like Tableau, Power BI, Qlikview, Spotfire is good to have
- Proficient in Excel, MS Word, PowerPoint, etc.
- Hands-on experience of handling Datasets like Komodo, RAVE, IQVIA, Truven, Optum etc
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