Job Location: Hyderābād
Job Description
Novartis is a global healthcare company based in Switzerland that provides solutions to address the evolving needs of patients worldwide. As a leading global medicines company, Novartis uses innovative science and digital technologies to create transformative treatments in areas of great medical need. With a vision of re-imagining and transforming medicine using Data science, Novartis is focused on building tech ecosystems and AI/ML powered solutions. Novartis aims to create significant value by enabling decision making through applications of Data and Digital across the business functions within the organization. Customer & Technology Solutions (CTS) organization provides customer solutions that are powered by leading technologies and digital expertise. CTS places the associates, patients, and healthcare professionals at the center, while facilitating and enhancing their experience and capabilities through seamless integrated solution. CONEXTS is an in-house analytics/consulting unit providing analytical and operations support to Novartis internal business customers (across countries/regions/Global) on various projects. Insights and Commercial Solutions (I&CS) is an analytics arm of CONEXTS providing Data Science & Analytics solutions to support a range commercial needs such as: Brand & Marketing, Analytics, Field Force Operations & Analytics, Value & Access, Content & Digital, Market Research.
Your responsibilities:
Your responsibilities include, but are not limited to:
- Understand complex business problems from Country/Regional/Global business functions and layout the approach and key steps in the proposed data science and analytics solution.
- Able to use business presentations, smart visualization tools and contextual story-telling to translate findings back to business users with a clear impact
- Support CTS CONEXTS business in building capabilities by involving in various initiatives like knowledge sharing, support in all business-related tasks/activities, building process documentation and knowledge repositories.
- Customer Segmentation & Targeting, Event Prediction, Propensity Modelling, Churn Modelling, Customer lifecycle management and Lifetime Value Estimation, Recommender Systems, Launch Analytics, Marketing Mix Modelling and Revenue Optimization, Price Optimization
- Independently work on various steps of a data science project – Data mining and Exploratory Data Analysis (EDA), Feature Engineering, Statistical modelling, integration with AI/ML platform, visualization and result inferencing and presentation to stakeholders
- Automation of project codes and development of front-end delivery solutions
- Ensure quality and timely completion of own projects/modelling assignments, actively manage change during the project and raise any operational risk early to project lead/supervisor.
- Assist team supervisor for development of new algorithms, methods, statistical models and business models and providing insight into structured and unstructured data
- Explore and use various available pharma data sources (such as sales, contracting, promotions, social media, claims, Real-World Evidence, etc.) for enhancing the accuracy/application value of the analytical solution
- Participate in various knowledge sharing sessions that enables growth and improves quality of CTS CONEXTS deliverables across the function
- Comply with all internal functional operating procedures like time tracking, KPI tracking and reporting, and other internal systems and processes
- Comply to all Novartis operating procedures as per legal/IT/HR requirements
EEO Statement
Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.
Minimum Requirements
What You’ll bring to the role:
- Post graduate (or Graduate from a top Tier University) in a quantitative discipline (e.g. Statistics, Economics, Mathematics, Computer Science, Bioinformatics, Ops Research, etc.)
- 3-5 years of relevant experience in Data Science. Experience in commercial pharma would be an added bonus
- Technical Skills: Statistical Modelling/Machine Learning- o Must have: Statistical and Machine Learning techniques like Regression (esp., GLM, non-linear, etc.), Classification (Trees, Random Forest, Boosting, SVM, CART, etc.) Clustering, Design of Experiments, Monte Carlo Simulations, Statistical Inference, Feature Engineering, Market mix modelling, Dynamic Programming and Optimization techniques, Recommender Systems, Time Series Forecasting Good to have: Stochastic models, Bayesian Models, Markov Chains, Deep Learning techniques on structured and unstructured data, Text mining and Natural Language Processing (NLP) Data mining tool and EDA for large datasets. Data science programming languages and querying databases: R, Python, SAS, SQL/HIVE Familiarity with Alteryx will be a bonus Exposure to dashboard or web-apps building using R-Shiny, Flask Good to have: Exposure to AWS and ML Pipelines on cloud Pharmaceutical industry domain/datasets knowledge
- Soft Skills: Interpersonal and communication skills Storyboarding and Storytelling Advanced Excel, PowerPoint skills Ability to operate effectively in a matrix environment Strong team player who is dynamic and result oriented
- Fluency in English
Why Novartis?
769 million. That’s how many lives our products touched in 2020. And while we’re proud of that fact, in this world of digital and technological transformation, we must also ask ourselves this: how can we continue to improve and extend even more people’s lives?
We believe the answers are found when curious, courageous and collaborative people like you are brought together in an inspiring environment. Where you’re given opportunities to explore the power of digital and data. Where you’re empowered to risk failure by taking smart risks, and where you’re surrounded by people who share your determination to tackle the world’s toughest medical challenges.
Imagine what you could do at Novartis!
Commitment to Diversity & Inclusion:
Novartis embraces diversity, equal opportunity and inclusion. We are committed to building diverse teams, representative of the patients and communities we serve, and we strive to create an inclusive workplace that cultivates bold innovation through collaboration, and empowers our people to unleash their full potential.
Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to learn more about Novartis and our career opportunities, join the Novartis Network here: https://talentnetwork.novartis.com/network.
Job Type: Full-time
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