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Job Description: About the Role We are looking for a Certified Data Scientist with strong analytical, statistical, and machine learning expertise to join our Automation Engineering team. The ideal candidate will be responsible for analyzing complex datasets, developing predictive models, deploying AI solutions, and supporting customers in understanding process control requirements. This role requires both technical excellence and business process understanding, along with the flexibility to travel for client interactions and project implementation. Key Responsibilities Analyse large and complex structured & unstructured datasets to derive actionable insights Understand business processes and identify data-driven improvement opportunities Develop and implement Machine Learning and Deep Learning models Apply statistical modelling, probability, and advanced mathematical concepts (linear algebra, multivariate calculus) in solution design Work on Generative AI applications and innovative AI-driven solutions Perform data wrangling, pre-processing, and database management Develop data visualization dashboards using Tableau / Power BI Conduct correlation analysis and pattern recognition across datasets Perform web scraping and external data extraction when required Deploy machine learning models into production environments Test, demonstrate, and implement solutions for customers Collaborate with internal and external stakeholders to understand process control requirements Participate in project commissioning and client site interactions across India Contribute innovative ideas for automation and AI-based optimization Required Skills & Qualifications Certified Data Scientist from a reputed institution Minimum 1.5 years of experience in: Data Analytics Statistical Modelling Python Programming Process Understanding Strong knowledge of: Machine Learning Algorithms Deep Learning & Neural Networks Generative AI Statistics & Probability Data Wrangling & Database Management Model Deployment Proficiency in: Python and R Tableau / Power BI Experience handling large-scale and unstructured datasets Knowledge of web scraping techniques Strong mathematical foundation in linear algebra & multivariate calculus .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.