Data Science Jobs Hyderabad

Job Description

100s of clinical trials are run using cutting edge technologies. New roles dedicated to innovation continue to be created to focus on breakthrough opportunities

Your responsibilities include but not limited to:

Work on a variety of business applications including but not limited to:
. Customer Segmentation & Targeting, Event Prediction, Propensity Modelling, Churn Modelling, Customer Lifetime Value Estimation, Forecasting, Recom-mender Systems, Modelling Response to Incentives, Marketing Mix Optimization, Price Optimization
. Develop automation for repeatedly refreshing analysis and generating insights
. Collaborates with globally dispersed internal stakeholders and cross-functional teams to solve critical business problems and deliver successfully on high visibility strategic initia-tives
. Understand life science data sources including sales, contracting, promotions, social me-dia, patient claims and Real World Evidence
. Quickly learn the use of tools, data sources and analytical techniques needed to answer a wide range of critical business questions
. Articulate solutions/recommendations to business users. Works with senior data science team member to present analytical content concisely and effectively
. Manage own tasks and works with allied team members plans proactively, anticipates and actively manages change, sets stakeholder expectations as required, identifies oper-ational risks and independently drives issues to resolution, minimizes surprise escalations
. Independently identifies research articles and reproduce/apply methodology to Novartis business problems
. Has high learning agility and diligently follows updates in industry and area of work

Diversity & Inclusion / EEO

Minimum Requirements

. PhD or Masters (or Bachelors from a top Tier University) in a quantitative discipline (e.g. Statistics, Economics, Mathemat-ics, Computer Science, Bioinformatics, Ops Research, etc.)
. . 7+ years of relevant experience in Data Science. In case of PhD, 4+ years post qualification experience. Experience in commercial pharma would be an added bonus.

Statistical and Machine Learning techniques like Regression (esp., GLM, non-linear, etc.), Classification (CART, RF, SVM, GBM, etc.) Clustering, Design of Experiments, Monte Carlo Simulations, Statistical Inference, Feature Engineering, Time Series Forecasting, Text Mining and Natural Language Processing

Stochastic models, Bayesian Models, Markov  Chains, Dynamic Programming and Optimization techniques, Deep Learning techniques on structured and un-structured data, Recommender Systems (content and collab-orative filtering), etc.

Why Novartis

766 million lives were touched by Novartis medicines in 2021, and while we’re proud of this, we know there is so much more we could do to help improve and extend people’s lives.
We believe new insights, perspectives and ground-breaking solutions can be found at the intersection of medical science and digital innovation. That a diverse, equitable and inclusive environment inspires new ways of working.
We believe our potential can thrive and grow in an unbossed culture underpinned by integrity, curiosity and flexibility. And we can reinvent what’s possible, when we collaborate with courage to aggressively and ambitiously tackle the world’s toughest medical challenges. Because the greatest risk in life, is the risk of never trying!
Imagine what you could achieve here at Novartis!

Commitment to Diversity & Inclusion:

Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.

Accessibility and accommodation:

Novartis is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to perform the essential functions of a position, please send an e-mail to and let us know the nature of your request and your contact information. Please include the job requisition number in your message.

Join our Novartis Network:

If this role is not suitable to your experience or career goals but you wish to stay connected to hear more about Novartis and our career opportunities, join the Novartis Network here:

7.00-10.00 Years