Lead Data Scientist

Indegene; Canada; On-site; CAD 100,000 - 130,000; Full time

Job summary

A healthcare solutions provider is seeking a Lead Data Scientist to join their dynamic team in Canada. The ideal candidate will have 5+ years of experience in data science with expertise in MLOps and pharma patient analytics. You will design and implement machine learning models, handle patient analytics projects, and collaborate with cross-functional teams to deliver innovative solutions. Strong programming skills in Python and experience with ML tools like TensorFlow are required. This role emphasizes excellence in problem-solving and effective communication.

Qualifications

• 5+ years in data science and machine learning focusing on model development and MLOps.
• At least 2+ years in pharma patient analytics.
• Excellent analytical and problem-solving skills.

Responsibilities

• Handle patient analytics projects and patient journey predictions.
• Design, develop, and implement machine learning models.
• Collaborate with data engineers to integrate ML models into applications.

Skills

Model development expertise

MLOps practices

Patient journey analytics

Programming in Python

Strong SQL skills

Education

Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics

Tools

TensorFlow

PyTorch

scikit-learn

MLflow

Kubeflow

Docker

Kubernetes

Snowflake

Dataiku

Databricks

Job description

Job Description

We are a technology‑led healthcare solutions provider driven by our purpose to enable healthcare organizations to be future‑ready. Indegene offers accelerated, global growth opportunities for talent that is bold, industrious, and nimble. We celebrate entrepreneurship and are guided by passion, innovation, collaboration, and empathy.

Must Have

Role: Lead – Data Scientist

Job Description: We are seeking a highly skilled Data Scientist with expertise in various modelling algorithms and MLOps to join our dynamic team. The ideal candidate will have a strong background in data science, machine learning, and operationalizing ML models with exposure to pharma patient analytics. You will work closely with cross‑functional teams to develop, deploy, and maintain machine learning models that drive business insights and innovation.

Key Responsibilities:

• Handle patient analytics projects with proficiency in patient journey predictions, KOL identification, HCP segmentation, and next best action.
• Design, develop, and implement machine learning models through EDA, feature engineering, and a variety of algorithms (regression, classification, clustering, neural networks, ensemble methods).
• Establish and maintain MLOps practices to ensure seamless deployment, monitoring, and maintenance of ML models in production environments.
• Evaluate model performance using appropriate metrics and techniques, and iterate on models to improve accuracy and efficiency.
• Collaborate closely with data engineers and business stakeholders to integrate ML models into applications and workflows.
• Document model development processes, assumptions, and results to ensure reproducibility and transparency.
• Stay updated with the latest advancements in AI/ML, including LLMs and MLOps, to continuously improve skills and knowledge.

Desired Profile:

• Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field.
• Experience: 5+ years in data science and machine learning with a focus on model development and MLOps.
• Domain Expertise: At least 2+ years in pharma patient analytics, preferably in patient journey predictions, KOL identification, HCP segmentation, and next best action.
• Technical Skills: Proficiency in programming languages such as Pyspark, Python, or R, and experience with ML libraries/frameworks (TensorFlow, PyTorch, scikit‑learn).
• MLOps Tools: Experience with MLflow, Kubeflow, Docker, Kubernetes, and model monitoring platforms.
• Data Handling: Strong SQL skills and experience with Snowflake, Dataiku, or Databricks is a plus.
• Problem‑Solving: Excellent analytical and problem‑solving skills with the ability to translate business problems into data science solutions.
• Communication: Strong communication and presentation skills with the ability to explain complex concepts to non‑technical stakeholders.

EQUAL OPPORTUNITY

Indegene is proud to be an Equal Employment Employer and is committed to a culture of inclusion and diversity. We do not discriminate on the basis of race, religion, sex, colour, age, national origin, pregnancy, sexual orientation, physical ability, or any other characteristics. All employment decisions, from hiring to separation, will be based on business requirements and the candidate’s merit and qualification. Indegene is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, gender identity, sexual orientation, disability status, protected veteran status, or any other characteristics.