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

Entity:- Accenture Strategy & Consulting

Team:- Global Network Data & AI

Practice:- Health Analytics

Title:- Data Science Manager

Job location:- Gurgaon/Bangalore/Mumbai

About S&C - Global Network:- Accenture Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition

Health Care Analytics Practice focused to support Payer and Provider clients reimagine and design variety of custom business contextual solutions and bring pre-built capabilities to life in their journeys to harness the power of data.

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.

Qualifications

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