Data Scientist

Lancesoft; Hyderabad; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Lancesoft in Hyderabad seeks a Senior Data Scientist with 8+ years in data science to tackle healthcare problems using ML, NLP transformers, graph methods, and production-ready models.

You will mentor the team, collaborate with global stakeholders, and establish best practices while staying current with advances in healthcare analytics.

Qualifications

• 8+ years of experience in data science or related quantitative field.
• Strong grounding in statistical modeling and machine learning.
• Experience with large, high-dimensional datasets and delivering actionable insights.
• Expertise with modern ML methods: transformers, deep learning, graphs.
• Experience deploying models into production.

Responsibilities

• Lead development of ML and statistical models for healthcare problems.
• Establish best practices in modeling, experimentation, and analytical rigor.
• Translate real-world healthcare challenges into scalable data science solutions.
• Collaborate with global stakeholders to influence product and business strategy.
• Mentor data science team and enhance capabilities.
• Stay up-to-date with ML and healthcare analytics trends.

Skills

Statistical modeling

Machine learning

Large datasets

Model deployment

Stakeholder collaboration

Tools

Transformers

Deep learning

GNNs

Causal inference

Job description

Role & responsibilities

Location: Hyderabad

Experience:5

Requirement Count: 15

Position Overview: Senior Data Scientist (Healthcare Focus)

What You Will Do:

• Lead the development of advanced machine learning (ML) and statistical models to solve complex healthcare problems.
• Establish and promote best practices in modeling, experimentation, and analytical rigor.
• Convert real-world healthcare challenges into scalable data science solutions.
• Collaborate with global stakeholders to influence product and business strategy.
• Mentor and enhance the technical capabilities of the data science team.
• Keep up to date with the latest advances in ML and healthcare analytics.

Who We Are Looking For:

• 8+ years of experience in data science or a related quantitative field (e.g., Computer Science, Statistics, Mathematics).
• Solid grounding in statistical modeling, machine learning, and complex problem-solving techniques.
• Proven experience handling large, high-dimensional datasets and delivering clear, actionable insights.
• Expertise with modern ML methods, including:
• Transformers (e.g., NLP and representation learning)
• Deep learning frameworks and architectures
• Graph-based machine learning (such as Graph Neural Networks)
• Familiarity with causal inference and decision-focused modeling is a plus.
• Comfortable tackling ambiguous problems and pursuing impactful outcomes independently.
• Excellent collaboration and communication skills for engaging with a range of stakeholders.
• Experience deploying models into production environments.
• Prior experience or domain knowledge in healthcare, particularly healthcare revenue cycle, is preferred.