6 Companies Hiring for Data Science Roles in India

Data science jobs rose by 30%, with median salary rising by 25%.

The popularity of data science as a field that is not only in high demand but also experiencing tremendous growth. With the number of data science jobs increasing by 30.1% in 2022 and the median salary for data scientists in India rising by 25.4% to INR 16.8 lakh per annum, this field is proving to be financially rewarding for its professionals as well. 

With a similarly surging demand in India, let us look at six companies that are currently hiring for data science roles here!

1. Colgate–Palmolive

Consumer products company Colgate–Palmolive is looking for full-time data science experts to join their information technology team.

AIM Daily XO

Join our editors every weekday evening as they steer you through the most significant news of the day, introduce you to fresh perspectives, and provide unexpected moments of joy
Your newsletter subscriptions are subject to AIM Privacy Policy and Terms and Conditions.

Job Description:

  • Analyse and mine datasets to improve product development, marketing, and business strategies using advanced analytics, machine learning, and statistical methods. 
  • Create custom data models and algorithms to apply to data sets and use predictive modelling to optimise customer experiences and other business outcomes. 

Minimum Qualifications: 

Download our Mobile App

The ideal candidate must have a Bachelor’s degree in Computer Science, IT, Mathematics or a relevant field and five plus years of experience in data manipulation and statistical modelling, strong problem-solving and analytics, strong verbal and communication skills along with experience working in a multi-functional dynamic team environment.

Location: Mumbai, Temporarily Remote

Click here to apply.

Read more: Data Science Hiring Process at Kyndryl

2. Deutsche Bank

German financial services company Deutsche Bank is hiring data scientists (Assets) with experience in the banking domain to support their Assets and Liabilities team alongside leadership and marketing teams. 

Job Description: 

  • Develop and validate advanced algorithms and predictive models for customer lifecycle management in the banking industry, including asset domains such as SME and loan processing.
  • Perform statistical analysis, variable selection, and dimensionality reduction on data, build unique attributes and assess new data sources.

Minimum Qualifications: 

More than four years of experience in developing analytical solutions with Regular Expressions and ML, a Bachelor’s and/or Master’s degree in a quantitative field (Statistics, CS, or more), proficiency in programming languages (Python, SAS), ability to learn and apply emerging NLP, ML, and DL techniques, attention to detail along with strong communication skills.

Location: Mumbai, Hybrid 

Click here to apply. 

3. Google

Tech giant Google is looking for mid-senior level data scientists for gTech’s Product and Tools Operations team (gPTO). 

Job Description: 

  • Adopt and build data engineering procedures, such as data pipelining and feature engineering that can be applied to both research and production.
  • Use the appropriate mathematical techniques, such as frequentist statistics, bayesian statistics, and natural language processing (NLP) in order to analyse and create explanatory, predictive, and prescriptive models.

Minimum Qualification:

A Bachelor’s degree in computer science or equivalent, together with five to eight years of experience in data science, data analysis, and/or a related sector. The ideal candidate will have experience communicating technical concepts and solutions to non-technical and executive audiences along with working with web technologies (such as HTML, CSS, JavaScript, and HTTP).

Location: Gurgaon/Hyderabad/Bangalore, On-site

Click here to apply.

4. Mastercard

Digital payment solutions provider Mastercard is recruiting mid-senior data scientists who can assist in data-driven decision making. 

Job Description:

  • Collaborate with the global optimisation solutions team to design, create, and manage complex reporting and data visualisation tools on large data sets and deliver insights.
  • Use ML to build solutions and produce actionable insights for product improvement and sales enablement. 

Minimum Qualification: 

Excellent academic background in Computer Science, statistics, or a related discipline or equivalent job experience working with open-source technologies in a product development capacity and as an ML resource. The candidate should be highly skilled in using Python/Spark, Hadoop platforms, SQL and all ML frameworks.

Location: Gurgaon, Hybrid

Click here to apply.

5. Puma

Global clothing brand Puma has open positions for data scientists in their AI and Analytics team to identify trends and apply data mining techniques, among others.

Job Description:

  • Comprehend a problem statement and use analytical procedures to drive growth. 
  • Work with other teams to prototype new ideas, collect data and requirements, scope out solutions, and create solution architecture.

Minimum Qualification:

A B.Tech and/or M.Tech in Computer Science, Signal Processing or relevant fields from a premier institution with one to two years of experience in SQL, R and Python, and Spark. Applicants should be able to discover efficient solutions to complex problems. Required skills include Azure, AWS, Databricks, and MLFlow.

Location: Bengaluru

Click here for more information. 

6. McAfee

Cybersecurity solutions system McAfee is in search of skilled data scientists to generate insight and deep dive analysis in product growth analytics.

Job Description:

  • Leverage product analytics, machine learning, and A/B testing to provide actionable insights to enhance customer experience and maximise business results.
  • Identify, isolate, share data concerns, and take ownership of the data quality for the analysis and reports generated.

Minimum Qualification:

The ideal candidate should have two to five years of industry experience in analytics and a strong background in SQL and Python and should be self-motivated, collaborative, and experienced in A/B testing design and analysis.

Location: Work from Home

You can check out their careers page here

Read more: Data Science Hiring Process at CoinDCX

Sign up for The Deep Learning Podcast

by Vijayalakshmi Anandan

The Deep Learning Curve is a technology-based podcast hosted by Vijayalakshmi Anandan - Video Presenter and Podcaster at Analytics India Magazine. This podcast is the narrator's journey of curiosity and discovery in the world of technology.

Shritama Saha
Shritama is a technology journalist who is keen to learn about AI and analytics play. A graduate in mass communication, she is passionate to explore the influence of data science on fashion, drug development, films, and art.

Our Upcoming Events

27-28th Apr, 2023 I Bangalore
Data Engineering Summit (DES) 2023

23 Jun, 2023 | Bangalore
MachineCon India 2023

21 Jul, 2023 | New York
MachineCon USA 2023

3 Ways to Join our Community

Telegram group

Discover special offers, top stories, upcoming events, and more.

Discord Server

Stay Connected with a larger ecosystem of data science and ML Professionals

Subscribe to our Daily newsletter

Get our daily awesome stories & videos in your inbox