Project Leader

Axtria - Ingenious Insights · Delhi

  • Experience3–4 yrs
  • SalaryNot disclosed
  • Work modeonsite
  • Posted22 Sept 2026

About Axtria - Ingenious Insights

Axtria - Ingenious Insights is hiring in Delhi in pharma biotech. This role looks for around 3+ years of experience.

Skills

  • Python
  • NumPy
  • Pandas
  • scikit-learn
  • Seaborn
  • PyCaret
  • Matplotlib
  • TensorFlow
  • NLTK
  • Stanford NLP
  • PyTorch
  • LingPipe
  • Caffe
  • Keras
  • Spark ML
  • OpenAI
  • Git
  • Jira
  • Confluence
  • AWS
  • Azure
  • Google Cloud Platform
  • Spark
  • Scala
  • Java
  • machine learning
  • statistical methods
  • probabilistic methods
  • support vector machines
  • decision trees
  • bagging
  • boosting
  • clustering
  • natural language processing
  • text classification
  • named entity recognition
  • topic modeling
  • sentiment analysis

The role

A data scientist at a pharmaceutical analytics company develops scalable machine learning models for patient data analytics using Python and Spark, applies natural language processing and statistical modeling, and operationalizes models on cloud platforms.

Full job description

Job Summary: -

Data Scientist with good hands-on experience of 3+ years in developing state of the art and scalable Machine Learning models and their operationalization, leveraging off-the-shelf workbench production.

Job Responsibilities: -

Hands on experience in Python data-science and math packages such as NumPy, Pandas, Sklearn, Seaborn, PyCaret, MatplotlibProficiency in Python and common Machine Learning frameworks (TensorFlow, NLTK, Stanford NLP, PyTorch, Ling Pipe, Caffe, Keras, SparkML and OpenAI etc.)Experience of working in large teams and using collaboration tools like GIT, Jira and ConfluenceGood understanding of any of the cloud platform – AWS, Azure or GCPUnderstanding of Commercial Pharma landscape and Patient Data / Analytics would be a huge plusShould have an attitude of willingness to learn, accepting the challenging environment and confidence in delivering the results within timelines. Should be inclined towards self motivation and self-driven to find solutions for problems.Should be able to mentor and guide mid to large sized teams under him/her

Job Requirements: -

Strong experience on Spark with Scala/Python/JavaStrong proficiency in building/training/evaluating state of the art machine learning models and its deploymentProficiency in Statistical and Probabilistic methods such as SVM, Decision-Trees, Bagging and Boosting Techniques, ClusteringProficiency in Core NLP techniques like Text Classification, Named Entity Recognition (NER), Topic Modeling, Sentiment Analysis, etc. Understanding of Generative AI / Large Language Models / Transformers would be a plus