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27/05 HR
HR at Michael Page

Views:465 Applications:116 Rec. Actions:Recruiter Actions:0

Data Scientist - Pharma (4-8 yrs)

Hyderabad Job Code: 824823

Industry : Pharma / Biotech / Clinical Research

Category : Consulting

Job Description :


- As a Data Scientist for a Global Health care Organisation based in Hyderabad, you will be part of Innovation Labs working extensively on developing and delivering groundbreaking solutions by using the power of data science.


Client Details :

Our client is a leading pharmaceutical company which is engaged in the research, development, manufacturing and marketing of a range of health-care products led by pharmaceuticals with affiliates present in almost 140 countries. Its range of products includes pharmaceuticals and oncology medicines, generic and bio similar medicines, and eye care devices.

Description :

Reporting into the Head of Data Science and Artificial Intelligence, you shall be responsible for :

- Think creatively, conceptualise and lead projects resulting in substantial long-term impact on the company's vision in many key strategic areas

- Design, develop and deliver various data science based insights, outcomes and innovation and create "proof of concepts & blueprints" to drive faster, timely, highly precise, workable and proactive decision making based on data based insights and science and shape strategic glide-path of the company


- Lead successful cross-functional collaborations with significant execution rigour, customer focus and "Data to Decision" thinking


- Demonstrate a comprehensive view of science and technology and deliver a compelling enterprise vision of how Data, Digital & AI can contribute to providing quantum in leap in building foundational/groundbreaking capabilities


- Own adoption, execution and integration of data science based solution end to end all the way from discovery to launch/post-launch and also into business, design, product, delivery, operations, marketing, brand management, research and technology roadmaps


- Design and develop state-of-the-art, data-driven analysis, models and decision strategies to solve science and business problems


- Choose and apply appropriate predictive analytic technologies (such as statistical modeling, neural networks, scorecards, machine learning, pattern recognition and artificial intelligence) heavily injected with domain expertise


Profile :

To be successful as a Data Scientist, you should :

- M.S/Ph.d in Computer Science, Mathematics, Statistics, Operations Research, Cognitive Sciences, Engineering, Finance, Economics, Medicine, Technology, Management Science, other Quant disciplines 


- 5-7 years of overall experience with demonstrated track record in building data science solutions

Core skill-set/Background :


- Machine Learning, Artificial Intelligence, Natural Language Processing, Support Vector Machines, Random Forest, Text Mining, Deep Learning, Clustering, Discrete Mathematics, Combinatorics, Informational Theory, 


- Unstructured Text Classification, Latent Topic Modelling, Information Retrieval/Extraction, Signal Processing/ Image Sciences/ Computer Vision/Pattern Recognition, Mathematical/Statistical Modelling (Deterministic and Stochastic), Predictive Science, Decision Theory, Mathematical Optimisation/ Operations Research, 


- Applied Statistics, Simulation, Scalability, Theoretical Computer Science, Design and Analysis of Algorithms, High Performance Computing, Computer Vision, Neural Networks, Artificial Intelligence, Social Media Measurement, Sentiment Analysis, Behavioural Analysis


Job Offer :

As a Data Scientist working for Innovation Labs you will be a part of a Global team reporting to Head of Data Science and Artificial Intelligence. It provides 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 you're surrounded by people who share your determination to tackle the world's toughest data science problem statements.

For a confidential discussion about this role please contact Damini Sarin on +91 124 452 5447.

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Women-friendly workplace:

Maternity and Paternity Benefits

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