Data scientists are hot in demand. And why not – every company today is looking to apply data science to go up the value chain and offering Data Scientists jobs in India. This noise also means that if you are a data scientist, it’s difficult to identify the top companies and startups hiring for data scientists jobs in India. And data science salary in India have exponentially grown in the recent few years.
So look no further. This post will always have an extensive list of top companies and startups hiring for data science jobs in India.
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Here is a list of Data Analytics companies in India who are hiring Data Scientists:
Busigence is a data intelligence company which makes top data products that help in augmenting people decision abilities. They have designed a self-learning-self-service intelligent system. In the last 6 years, they have launched 3 products namely EmmoQ, Robonate & Humanizer.
Started in 2012, Busigence is headquartered in Chicago with India centre at Bengaluru. It was founded by Pranav & Prashant who were driven by a simple thought “ Information is not knowledge and knowledge is not wisdom”.
Here’s a video where Pranay, Founder & C.E.O- Busigence Technologies is talking about what they look for in a candidate when they offer Data Scientists jobs for freshers and professionals.
Happay was founded in 2012 with a vision that paying someone should be as easy as sending a text message. Happay soon forayed into business expense management as they found it to be a bigger problem to solve.
Happay is now one of the leading spend management companies in India. It provides automated solutions for petty cash management, travel and expense management, prepaid cards for business expense, international expense card and more.
Hiring team at Happay prefers candidates who are good in R programming, Python, PostgreSQL, MySQL, database design development and segmentation techniques.
Sigmoid is one of the fastest-growing product based Big Data company in India. It is aimed towards helping enterprises in making a data-driven decision through super fast insights at petabyte scale.
Sigmoid was founded in 2013 and emerged as a key player in the advanced analytics field. It is backed by Sequoia capital, experienced professionals and advisors.
Working as a data scientist at Sigmoid is a great learning experience as you get to work with top of the line techies, speakers at Apache conferences and pioneers in Big Data. Leading organizations across industry verticals are currently using Sigmoid’s platform in production to create success stories.
Walmart Labs is a privately held company based out of Mountain View, California. Walmart helps people around the world save money and live better -anytime and anywhere.
Walmart Labs in Bengaluru is the part of Walmart’s Global Data and Analytics Platforms (GDAP) team which is also located in Brazil & USA. It provides Data Foundation Infrastructure, Visualization Portal, ML Platform, Customer platform and Data Science products that form part of core platforms and services that drive Walmart business.
The group also develops analytical products for several verticals like supply chain, pricing, customer, HR, etc. Working at Scale is every data scientist’s dream right?
Quantiphi Inc was founded in 2013 with a belief that AI & ML being transformative in nature will create the next quantum gain in customer experience and unit economics of businesses.
Soon, it became a category-defining Data Science and ML software and services company. Quantiphi focused on helping organizations translate the big promises of Big Data & ML into quantifiable business impact. Quantiphi helps clients find the hidden value from data through a unique blend of business acumen, big data & ML.
Generally, we have seen that Quantiphi looks for folks good in ML, R, Tableau, Python (SciPy, NumPy), SAS & Mahout. Also, it’s important to know that Quantiphi only hires from tier 1 colleges (IIT, NIT, BITS, REC, ISI, BIT, IISC, IIIT etc).
Mate labs have built a product — Mateverse which makes it easy for Data Science rookies to use ML in their projects and applications. Basically, they have made machine learning & deep learning available for all.
With Mateverse’s simple interface, users can create and train models which can easily be implemented into their program using a few API calls. They are solving a unique problem of algorithm & hyperparameter selection.
We have observed that Mate Labs prefers to hire those data science professionals who are strong in ML (Regression(MUST), Classification, Clustering), Scikit-learn, Keras, Tensorflow, Pandas, Numpy & ARIMA(Time-series forecasting).
Founded in 2013, Tracxn is a funded company based in Bengaluru. It has more than 250 employees currently. It is on a mission to create the worlds largest analyst team tracking startups for Venture Capital Firms, Investment Banks, Corporate Developments and Universities.
It helps VCs & investors by tracking and analyzing startups across 230+ sectors covering Enterprise Applications, Retail, AdTech, HealthTech Life Sciences, FinTech, Energy and more.
Couture is a customized AI platform that helps largest global enterprises implement specific vertical targeted products build on top of their patent-pending ML and deep learning innovations.
Companies like Reliance Jio & multiple European retailers have already licensed their product to empower real-time tailored experiences for their 200 million + end users.
Shobhit Agarwal, Co-founder & CTO- Couture.ai is actively looking for smart data science folks with expertise in Tensorflow, Spark, Kafka, Kubernetes, ElasticSearch/Solr, Druid or Statistics /mathematical innovations.
Crediwatch provides amplifies intelligence for businesses and companies by using Machine Learning (ML), NLP & data visualisation. Crediwatch is basically an online data bank which uses advanced computational techniques to give you real-time insights on a customer, competitor or vendor.
Crediwatch has received accolades in Citibank Tech4Integrity challenge (worldwide), Barclays Rise accelerator and Tech30 by YourStory to name a few.
We have seen that Crediwatch prefers hiring folks who are strong with R programming, Python, TensorFlow & NLP.
Above mentioned is the list of Data Analytics Companies in India who are striving to achieve the goal to fill their companies with a team of Data scientists which includes a large variety of fields. One of the areas in this aspect offers is Data Scientists jobs in India. Master Analytics with us at UpGrad and make it to the top Data Analytics companies in India or the top Machine Learning companies in India. The bigger sharks (huge tech companies) in this industry are continuously trying to cut-costs and report back to the managers. And this particular task can be performed only with the help of an Analyst as they deliver Statistical Analysis which includes Data Warehousing, Data Mining, Cloud Analytics, Marketing Analytics and many more. There is a considerable amount of opportunities as Data Scientists jobs for freshers in India are on the peak.
Learn data science courses from the World’s top Universities. Earn Executive PG Programs, Advanced Certificate Programs, or Masters Programs to fast-track your career.
So, these were the trending openings for companies which are hiring data scientists listed on CutShort – you can directly apply to connect the respective hiring teams. To know more about data science, check out the PG Diploma program in Data Science offered by IIIT-Bangalore and UpGrad.
What are the most difficult aspects of a data scientist's day-to-day duties?
Data scientists confront significant hurdles in day-to-day operations, which necessitate a great deal of critical thinking, decision-making, and analytical abilities. One of the most important stages is analyzing an issue and creating a solution to define each component of the problem that comes across when working as a data scientist.
Is data science a better option than software engineering?
Machine learning, algorithms, big data, data mining, SQL (Structured Query Language), and analytical tools are all skills that data scientists must master. For a better grasp of their profession, a data scientist requires commanding knowledge of math, data gathering, and analysis. Expertise and training in programming languages, construction, and configuration tools are required by software engineers. Software engineering is neither more difficult nor more straightforward than data science. Operating in both areas necessitates a distinct set of abilities. A data scientist will be judged on the basis of his tool mastery. Domain competence and communication abilities, among other things, will be questioned. A data engineer's software engineering and programming abilities will be put to the test first. Understand the many subtleties that will be expected in your job and then only you can plan accordingly.
What are some tips to ace a data scientist interview?
The first thing you should know is that the data science ecosystem is made up of many different jobs. A data scientist is only one part of a data science project's success. The next step is to learn about the abilities needed for these positions. For a data engineer position, you must have solid Python and software engineering experience, as well as excellent communication abilities.
Create a strong resume before you begin your job search. Make sure your resume represents the technical abilities required for the position. Create different resumes for various positions. Extend your employment search after your resume is complete.
Structured thinking, analytical and logical reasoning, puzzle-solving abilities, programming expertise, and machine learning techniques, among other things, will be used to assess you. Make sure you're well-prepared and confident when you go.