Indegene is a specialized healthcare solutions company with a unique blend of analytics and state-of-the-art technology capabilities. Our aim to seamlessly integrate analytics, technology, operations, and medical expertise to solve complex industry challenges.

As we continue to grow our advanced analytics footprint, we are looking to hire a Data Scientist who can bring cutting edge analytical techniques/solutions to our commercial client offerings.

We are looking for an experienced Data Scientist with 6+ years of relevant experience who can leverage diverse and large datasets to solve advanced healthcare analytics problems like predictive customer scoring, patient analytics, predictive modelling, attribution analytics, customer journey modeling, recommender engines and next best action analytics.

Job Role:

- Apply state-of-the-art advanced analytics and quantitative tools and modeling techniques in order to derive business insights and solve complex business problems

- Use best-in-class technologies and algorithms to solve the business problems

- Support, review and conduct complex analytics processes and data integration on clients internal and external data

- Handle multiple projects at any point in time, ensuring that progress is made across all the projects, with appropriate prioritization and workload distribution within the team

- Create value for clients and client service teams by understanding their needs and translating them into optimal desired analytical services

- Develop and disseminate innovative analytical techniques, processes and tools, that can be leveraged across projects / engagements

- Manage a team of Junior Data Scientists, Data Analyst and Partner with data analysts/managers and client service team members to ensure timely delivery of results and recommendations

- Support business development activities by building new capabilities and participating in client meetings as a subject matter expert

- Provide thought leadership by contributing to whitepapers and articles at the BU and organization level

- Monitor industry trends and implement best practices to improve in-house capabilities

- Develop approach for complex analyses and gain consensus with stakeholders internally and externally

- Meaningfully communicate insights and information to a broad group of stakeholders through exceptional oral and written communication

Desired profile:

- 6-10 years of relevant, technical experience in AI, machine learning, predictive modeling, advanced analytics and statistics modeling.

- Experience in pharma commercial analytics is a must have, other industry experience a plus

- Should have experience in leading / guiding small to large teams

- Excellent understanding of machine learning techniques and algorithms, such as XGBoost, Random Forest, Linear, Logistic Regression, k-NN, Naive Bayes, SVM, Decision Trees, Neural Nets, Transfer Learning, NLP etc.

- Proficiency in machine learning and statistical data analysis using Python and Spark

- Proficiency in Big Data handling and querying

- Past experience in building AI/ML products focused in delivering marketing analytics solutions is preferable

- Experience in areas of behavioral modeling customer segmentation, impact assessment, attribution analytics, collaborative filtering, marketing mix modeling, recommender engines and natural language processing is highly preferred

- Exceptional analytical skills with demonstrated experience in extracting valuable insights from complex data-sets

- Experienced in handling large datasets, both structured and unstructured, preferably in the life sciences / pharmaceutical domain

Behavioral Skills Required:

- Very strong problem-solving skills, and quantitative/analytical thinking capabilities

- Consultative problem-solving approach, customer orientation, and strong collaboration skills

- Willing to work in a highly demanding and result-oriented team environment

- Excellent communication skills; able to grasp and communicate complex ideas clearly

- Ability to translate data and information into actionable insights and business recommendations

- Understanding of the market dynamics of the pharmaceutical industry

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