Top 10 Data Science Companies in India to Work for 2020

October 13, 2020 0 comments

Top 10 Data Science Companies in India to Work for 2020

A rundown of top data science companies for 2020

Data Science is an umbrella term that covers areas – Data Analytics, Big Data, Business Analytics, Machine Learning, Artificial Intelligence and Deep Learning. This immense field has changed what businesses look like into data and convert them into usable insights. Advancement in technologies and data science tools have changed the manners by which organizations work and grow. India, being a mother lode of ability, is the top destination for national and global companies searching for qualified Data Science experts.

Over recent years, the demand for Data Scientists has developed exponentially. More than 97,000 data science jobs are open in 2020 just in India. Let’s look at some of the top data science companies that you can consider to land your next job.

 

1.  Ugam, a Merkle company

Ugam, a Merkle company and part of Dentsu, is a leading next-generation data and analytics company helping businesses make superior decisions. Ugam’s customer-centric approach blends data, technology, and expertise, enabling impactful and long-tenured relationships with more than 85 Fortune 500 companies.

Recognized as one of the best firms for data scientists to work, Ugam’s data scientists get an opportunity to work directly with client business stakeholders on end-to-end projects. Leveraging Ugam’s proprietary analytical tools, frameworks, and AI / ML technology (Ugam’s JARVIS), they deliver superior results across industries like Retail, Hi-Tech, BFSI, Distribution and Manufacturing as well as Market Research and Consulting.

Ugam not only offers data scientists an opportunity to accelerate their career but also offers stability and a unique culture. Led by its founding partners and a committed leadership team, it has experienced significant Y-O-Y growth since inception. The company has a high percentage of long tenured (more than 10 years) and boomerang data scientists. Ugamites vouch for Ugam’s people-centric culture, upskilling, and mobility (across geographies or teams) opportunities and positively driven work environment, thereby making it Analytics Insight’s top pick for data scientists to work.

 

2.  MuSigma

Recognizing itself as the biggest solution provider of decision science and analytics, MuSigma has its headquarters in Chicago, US. It has workplaces world-over, with Bangalore as its central delivery hub. Your role as a Data Scientist at MuSigma would include analysing data, refining as well as rearranging it and lastly assessing the outcomes.

Mu Sigma is one of the favorite places for employees to work in the field of data science because of its open culture. It’s quite well-known as it serves Fortune 500 organizations through decision science and big data analytics.

Mu Sigma has a creative and interactive way to invite its new employees through what they call MSU (Mu Sigma University), where the new employees get hands-on training on various challenging projects under the direction of senior experts in the organization.

 

3.  Manthan

Another leading data science firm is Manthan! They have an extraordinary methodology with regards to business solutions. They collaborate the power of AI and analytics that gives data-driven insights of a business model.

They assist organizations with making educated decisions by means of rigid data analysis and technology. This organization serves various businesses from technology to telecom, just as retail, pharma, and travel. Its data scientists give an analytics model for the decision-making of its customers.

At Manthan, data scientists are constantly encouraged to test performance of different data-driven products using leading technologies like AI, ML, etc. that are relative to their domain. They are given the opportunity to manage large amounts of data to find valuable insights that streamline business procedures, identify opportunities using research and management tools, and reduce risks.

 

4.  Absolutdata

Absolutdata’s cutting-edge AI-empowered services and solutions are based on 15 years of expertise with advanced analytics. Absolutdata’s Data Science Center of Excellence creates and delivers powerful AI services, solutions and secluded parts so customers can make scalable businesses way with their AI activities.

Absolutdata bestows impressive learning and growth curves than different players in the market. With explicit, role-based learning on niche subjects, data scientists can upskill and concentrate on fortifying core fundamentals. Moreover, they are urged to take up new jobs and responsibilities that draw out the best in them while permitting them to grow into influential positions.

 

5.  Fractal Analytics

Founded in 2000, Fractal Analytics has developed as one of the top analytics service providers in the nation. With a worldwide impression bragging about a few Fortune 500 organizations from ventures like retail, insurance and technology, there is unquestionably no halting this one. The organization is at present employing Data Scientists for its workplaces in Bangalore, Mumbai and Gurgaon.

Fractal Analytics has built-up a good customer base. Hence, as a data scientist you’ll be working on significant projects such as business analytics, healthcare, and decision-making. With the pool of data scientists working at Fractal increasing, they’ve started providing training and mentorship programs that will enable its employees to enhance their skills. You’ll primarily work on forecasting projects. If data analytics and forecasting is what you wish to do, Fractal Analytics is your place then.

 

6.  BRIDGEi2i Analytics

The organization urges its data scientists to ceaselessly take in and grow from each problem and project. It advances ascension and takes part in building up its scientists from their skills and abilities. BRIDGEi2i has 280 data analysts among its 400 employees.

Established in India in May 2011 by Prithvijit Roy (CEO), Pritam K Paul (CTO) and Ashish Sharma (COO) , their asset-based consulting approach covers the entire range, directly from data science to machine learning-centered knowledge improvement to actionability by way of AI accelerators implementation and finally contextualization of the goal to the companies.

The company has an attrition rate of 10-12% and believes in sustaining its talent pool with constant, experiential-based learning. It offers its employees chances to progress rapidly into leadership roles. The company has a strong recognition system that guarantees that all the contributions of employees are valued and appropriately awarded.

 

7.  Latent View

Latent View furnishes customers with a range of data science services like counseling, Data Architecture and Design, and data implementation and operations. They are upheld by scalable modern architecture. The work culture is friendly and development-oriented. They encourage workers to see each viewpoint in three edges: team, customer, and society.

Having Paypal, IBM, Microsoft, and Cisco as the organization’s esteemed customers, it urges data scientists to have a 360-perspective on each project to permit customers to streamline decisions on investment and anticipate the most recent revenue streams as well as to predict product trends. The most compelling motivation they provide and hold individuals is a mix of learning and working with an excellent peer group in addition to a chance to take care of complex business issues with acing analytics abilities in a climate that makes the whole journey rewarding.

 

8.  Accenture

Accenture emphasizes that enormous and complex organizations can profit by efficient utilization of their own data. They have to depend on the experts for it – data scientists. If you are passionate about characterizing procedures and delivering on them with the assistance of creative utilization of integrated data then Accenture is the company to be. The unmistakable worldwide professional service provider has openings for data scientists in the field of business process specialization and data management to give some examples.

At Accenture, data scientists will also be exposed on the strategy side as well. They’ll be responsible to define strategies and provide solutions using vast amounts of data.

 

9.  Genpact

Genpact has more than 1500 data scientists who work as a centralised hub model with customer experience as its main concern. The organization centers around developing the pool of citizen data scientists through different projects, for example, Machine Learning Incubator’ and ‘ML Upgrade’. ML Incubator program is an in-house AI/ML college which aims to upskill more than 600 existing domain experts every year by giving them structured and instructor paced learning structure, in the fields of data engineering, data science.

Genpact urges their data scientists to become experts in the cutting-edge technological advancements by offering them self-guided instructional exercises through an in-house upskilling structure – ‘Genome’. Genpact additionally use Data Literacy Framework to persistently reinforce their data science ability pool.

 

10. Tiger Analytics

Tiger Analytics is spearheading what AI and analytics can do to take care of the absolute hardest issues encountered by companies worldwide. They create bespoke solutions fueled by data and technology for a few Fortune 500 organizations. They have workplaces in various urban communities across the US, India, and Singapore, and a substantial remote global workforce.

They enable data scientists to improve their skills by offering intellectually challenging assignments which attracts them to join and work with them. While employing, they believe that there is a particular alignment of a candidate’s role expectations vs the actual work that will be offered. There is likewise an authoritative push to not make them experts and get them presented to different streams so as to make them more rounded experts. This is very well appreciated by employees as it is quite refreshing.

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