Senior Data Scientist

Bangalore, India

Pay: Pay not listed
Work setting: Not stated
Employment: Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

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What you’ll work on

Full posting

Analyse raw data: assess quality, cleanse it, and structure it for downstream use
Design accurate and scalable prediction algorithms
Work with engineering to move analytical prototypes into production
Generate actionable insights for business improvements

From the employer’s posting

Analyse raw data: assessing quality, cleansing, structuring for downstream processing

Design accurate and scalable prediction algorithms

Collaborate with engineering team to bring analytical prototypes to production

Generate actionable insights for business improvements

What you’ll bring

All qualifications

Core experience

2-4 years developing machine learning methods
2-5 years deep learning experience
Experience with medical claims data and ICD-9/10 patient journeys
Strong predictive modeling, clustering and classification knowledge
Fluent in Python and its data, ML and deep learning libraries

Preferred experience

Team lead experience
Consulting background
Familiarity with AWS or Azure

Qualification wording

At least 2-4 years’ developing Machine Learning methods

At least 2-5 year Deep learning experience

Have worked on Medical claims data (patient medical journeys, medical insurance claims, patient ICD-9/10 code medical journey)

Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms

Fluency with Python, Database(MySQL/Postgres/MongoDB)

Team lead experience

Consulting background

Familiarity with AWS or Azure

Tools in this posting

Python
AWS
Azure
Docker
Hadoop
MongoDB
MySQL
Spark
Tableau
Dask
Flask
Keras
Matplotlib
NumPy
pandas
Plotly
PyTorch
scikit-learn
TensorFlow
PostgreSQL

Source

clustering and classification techniques, and algorithms ● Fluency with Python, Database(MySQL/Postgres/MongoDB), Git versioning, Data Analysis Libraries(NumPy, Pandas,

(Cassandra, Hadoop, Spark, Tableau) ● Familiarity with AWS or Azure Optional

augmentation techniques, GAN, Tensorboard · Deployment - Flask, Tensorflow serving, Lambda functions, Docker

● Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau) ● Familiarity with AWS or Azure

versioning, Data Analysis Libraries(NumPy, Pandas, Statsmodels, Dask), Machine Learning Libraries( Scikit-learn), Deep Learning Libraries(Tensorflow/Keras/Pytorch/fast.ai), Data

Statsmodels, Dask), Machine Learning Libraries( Scikit-learn), Deep Learning Libraries(Tensorflow/Keras/Pytorch/fast.ai), Data Visualization Libraries(Matplotlib, Plotly)

Deep Learning Libraries(Tensorflow/Keras/Pytorch/fast.ai), Data Visualization Libraries(Matplotlib, Plotly) ● Familiarity with Big Data frameworks and visualization tools

● Fluency with Python, Database(MySQL/Postgres/MongoDB), Git versioning, Data Analysis Libraries(NumPy, Pandas, Statsmodels, Dask), Machine Learning Libraries( Scikit-learn),

Posting record

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Open 5 monthsWe first saw this posting 150 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records: Live
First seen by us: Jun 2, 2026 · 150 days ago
Recorded sightings: 60
Last seen by us: Oct 31, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

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Job description

View original posting ↗

The ideal candidate's favorite words are learning, data, scale, and agility. You will

leverage your strong collaboration skills and ability to extract valuable insights

from highly complex data sets to ask the right questions and find the right

answers. You are a data pro with deep statistical knowledge and analytical

aptitude. You know how to make sense of massive amounts of data and gather

deep insights. You will use statistics, data mining, machine learning, and deep

learning techniques to deliver data-driven insights for clients. You are a thought

leader with a commercial acumen, always on top of AI and ML trends.

Responsibilities

● Analyse raw data: assessing quality, cleansing, structuring for

downstream processing

● Design accurate and scalable prediction algorithms

● Collaborate with engineering team to bring analytical prototypes to

production

● Generate actionable insights for business improvements

Qualifications

● Have worked on Physician segmentation, physician behavior modeling,

drug prescribability, drug prescription churn, physician prioritization

● At least 2-4 years’ developing Machine Learning methods

● At least 2-5 year Deep learning experience

● Have worked on Medical claims data (patient medical journeys,

medical insurance claims, patient ICD-9/10 code medical journey)

● Deep understanding of predictive modeling, machine-learning,

clustering and classification techniques, and algorithms

● Fluency with Python, Database(MySQL/Postgres/MongoDB), Git

versioning, Data Analysis Libraries(NumPy, Pandas,

Statsmodels, Dask), Machine Learning Libraries( Scikit-learn),

Deep Learning Libraries(Tensorflow/Keras/Pytorch/fast.ai), Data

Visualization Libraries(Matplotlib, Plotly)

● Familiarity with Big Data frameworks and visualization tools

(Cassandra, Hadoop, Spark, Tableau)

● Familiarity with AWS or Azure

Optional

· Team lead experience

· Consulting background

· clustering, auto-regression models, NER, topic modeling, object

detection, semantics/instance segmentation, object tracking,

· Good understanding of Word2vec, RNNs, Transformers, Bert, Resnet,

MobileNet, Unet, Mask-RCNN, Siamese Networks, GradCam, image

augmentation techniques, GAN, Tensorboard

· Deployment - Flask, Tensorflow serving, Lambda functions, Docker

Source details

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Pay

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Location & working pattern

Bangalore, India

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Open source at akaiketech.zohorecruit.in ↗Read the full description ↓

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