Data Science Manager

S&C Global Network - AI - Healthcare Analytics - Manager

Job Title - S&C Global Network - AI - Healthcare Analytics - Manager

Management Level: 7-Manager

Location: Gurgaon/Bangalore/Mumbai

Must-have skills: Phython, Spark,SQL, Tableau, Power BI

Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills.

Job Summary:

This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions.

Roles & Responsibilities:

Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance.

WHAT’S IN IT FOR YOU?

• Lead efforts to harness data-driven insights to solve complex challenges in the health insurance sector. This role involves strategic oversight of analytics initiatives that utilize health insurance claims, provider data, and publicly available datasets.
• Develop and oversee AI-powered predictive models and employ natural language processing to enhance analytical capabilities.
• Drive business development efforts and small project initiatives to expand client base and service offerings.
• Conduct data wrangling and analysis on healthcare claims, provider datasets, and publicly available health data.
• Develop predictive models using data science and AI techniques to address client needs.
• Utilize natural language processing (NLP) capabilities to extract insights from unstructured data sources.
• Collaborate with cross-functional teams to implement analytics solutions effectively.
• Translate complex data findings into clear, concise, and actionable strategies.

What you would do in this role

• SME for Health domain with 8-10 years of extensive experience in Analytics related activities in this domain
• Duties and Responsibilities:
  • Involved in scoping, developing, and deploying advanced analytics solution for Health Payer & Provider Client across the Globe
  • Develop statistical models and delivery of analytic offerings and solutions in health areas.
  • Manage daily operations within the team, guide & counsel the team members towards driving the Solution delivery to the Client.
  • Participating in client discussions, developing new industry Point of Views (PoV), re-usable assets (tools) related to Health Analytics
  • Employ advanced analytical techniques such as machine learning, artificial intelligence, and natural language processing to analyze healthcare data.
  • Translate complex analytical findings into clear and concise reports and presentations for various stakeholders, including clinicians, executives, and patients (depending on the role).
  • Identify trends and patterns in healthcare data to inform strategic decision-making, improve operational efficiency, and enhance patient care.
  • Stay up-to-date on the latest advancements in healthcare analytics and data science.

Professional & Technical Skills:

- Relevant experience in the required domain. 

- Strong analytical, problem-solving, and communication skills. 

- Ability to work in a fast-paced, dynamic environment.

Who are we looking for?

• Proficiency & Experience:
  • 8-10 years of experience in Health analytics
  • Strong ability to tie up the Business Problem with the Analytics outcome.
  • Strong people management skills both at client site and an offshore environment
  • Able to solution architect with project teams and lead large delivery teams.
  • Experience in leading / assisting with BD efforts.
  • Adept with using Statistical (like forecasting/modeling, optimization models), Machine Learning (GBM, Decision Trees etc.), AI techniques (Deep Learning)
  • Good exposure to consulting experience/basic understanding of business problems and suggesting solutions.
  • Good Client handling skills; able to demonstrate thought leadership & problem-solving skills.

• Technical Skills:
  • Proficient in data handling suites PYTHON, Spark, SQL, or similar packages
  • Strong knowledge of dashboard & visualization development best practices
  • Strong aptitude, ability, motivation, and interest in placing quantitative analysis in the context of health care business for providers / payers/Public health systems
  • Experience working with cloud providers (e.g. AWS, Azure, GCP)
  • In-depth knowledge of healthcare data and regulatory environment (HIPAA etc.) is a plus.
  • Experience working with Electronic Health Records (EHR) systems is a plus

Additional Information:

- Opportunity to work on innovative projects. 

- Career growth and leadership exposure.

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