Data Science Job Opportunities In Bangalore To Look Out For In 2022

Last Updated on: August 4, 2022

Big data is the bigger data.

Harvard says Data science is the toothing hotspot of the 21st century. According to the survey, CBRE 400% increase in demand for data science has occurred since 2013. If you ask me about the trending technological hype curve, every change in behavior is an algorithm. The economic metrics, data prediction, and probabilities have become as relevant as weather forecasting to guide you through day and business. Around all the substantial calibers, where do you find yourself grabbing the opportunity and be the flag bearer of your organization? A job as fancy as computers, with a better career hike and standard, is what everyone is craving for in 2022! If anyone wants to join this field and is searching for data science openings in Bangalore, they need a jack in essential mathematics, statistics, modeling. A background in computer science is a definitive add-in. For fresher’s, it is advisable to enroll in a Full Stack Data Science Course.

In 2022, data science has come up with vast aspirational space. With fast-paced technology where you need to make the most of the relevancy in standing out in your organization, data science gives you the scope. The acquisition of data in the domestic Indian market is nearly 69%. And Bangalore can be interpreted as a bee-data-hive of data science opportunities for candidates who wish to pursue a career in this field.

Being a data scientist is all about comprehending groomed data with mathematics, statistics, and computing through visualization. Everything you see, hear, and feel, has data in the crude form, which has to be refined and dispatched. The basic principle of data science is a linear prediction that collects data from past studies patterns in present and advice strategies for the future. We can put this flow into a hierarchy of three.

Who is a Data Scientist and What do they do ?

Data scientists are primarily analytics professionals who study & decipher a wide range of data coming from multiple sources that does not necessarily fit into a structured database. Besides their expertise in statistics, they are highly skilled in the areas of technology as well as social science.

Their skill lies in analyzing both organized as well as unstructured data and identifying patterns in them. In turn, the analysis enables them to generate actionable solutions for businesses. It is their industry knowledge & contextual insights that allow them to devise resolutions to complex industry issues.

With the growing volumes of data being generated, the importance of a data scientist is only slated to increase.

Data scientist salary in India

A data scientist in India is known to earn an average annual salary of Rs 698,412. While this salary level is typically achieved between 1-4 years of experience, at the entry level the salary is likely to begin at around Rs 500,000 annually.

Data scientist job roles & responsibilities

Essentially data scientists work closely with business stakeholders, using data analysis to help them achieve their business goals. The use of algorithms and predictive models go a long way in informed business decision-making. With data analysis & processing becoming an extremely important aspect of business, Python data science programmers, in fact, are becoming even more popular and integral to businesses than software developers or even DevOps programmers. Some of the responsibilities of data scientists include:

• Converting structured & unstructured data into actionable information
• Using data analysis tools to identify patterns
• Identifying data-analytic solutions that can help in business ROI
• Data validation for improved efficiency
• Data visualization for easy analysis and communication

Various Job Roles For Data Science

Every organisation piles up a humungous amount of data. What to do with the data? How to extract information from the data? How to make the best use of data to add value for sales and growth in an organization. All the facets are well taken care of by the data scientists and engineers. There is a whole range of data science opportunities that are available today.

The hierarchy of this profession starts with collecting data and ends with data management. 

1. DATA ARCHITECT

Data architectures are the sole planners. They are into end-to-end planning for data consumption and analysis figuratively.

They conceptualize the whole framework, and push the tasks into the pipeline, assigning different data operations to different data professionals.

They operate in modules.

Blueprint-> conceptualize-> visualize-> Deployment-> Management.

Data Architect is only a Data Engineer who has grown up and has collected expertise in the field. A data architect collectively minced into data modeling, database management, data warehousing, and ETA tools. The data flowchart is made accessible to data engineers who then proceed by initiating the process and collecting raw data. Data Architects and Engineers work in sync.

Skills required to become a data architect:

Data Architects need to be proficient in both hard and soft skills.

Communication skill is essential to transit the ideas from mind to translate them into vision. It is necessary to propagate the whole business floor plan to the consecutive team in a systematic and effective vocabulary to execute the intended plan and convert it into successful delivery. Apart from soft skills, it is mandatory to have a more than decent grab on programming skills like

·       Python, Java/pearl:

These three languages are connecting dots to make data science viable and possible. To segregate, implement, and organize, these languages make a conjunctive pathway.

·       Knowledge of Data mining and modeling tools like ERwin Enterprise architect, VISIO.

Erwin is a data modeling tool used to conceptualize data models.

In short, we call them for following DM standards. It provides native support to databases for source to target mapping, effective version control. Visio provides a platform to create process flow diagrams.

·       Knowledge of Operating systems like UNIX, LINUX and Solaris.

·       Proficiency in application server software like Oracle.

Companies in Bangalore hiring Data Architects:

1.     Accenture

2.     Google

3.     Microsoft

4.     Yahoo

5.     Mind tree

6.     Wipro

7.     Capgemini

8.     Tech Mahindra

9.     Dell

10.  Zen3info solutions

11.  Cognizant

12.  Accel frontline

13.  Sandvik Asia

14.  Indegene life system

15.  Symphony Teleca

16.  JDA software

17.  Nokia Networks

18.  Mu sigma

19.  Alstom trans.

2. DATA ENGINEER

Data is the blood of any organization;coming from everywhere, used everywhere, connecting all the body, transferring messages, and when analyzed, it reflects the whole picture of the body.”

Khalid Abulmajd

Data is the blood of any organization;coming from everywhere, used everywhere, connecting all the body, transferring messages, and when analyzed, it reflects the whole picture of the body.”

Khalid Abulmajd

Data Engineers are curators who extract raw data and prepare data infrastructure for the rest of the team to use. The role of a data engineer can be summarized as 

Fetch -> extract -> integrate.

One cannot implement raw data as it is full of external glitches which reduce the quality pixel of effective data management and analysis. It needs to get toned and filtered, which is the primary role of a Data Engineer

The skills required to become a Data Engineer?

·       Pig:

Pig is a tool that reduces the complexity of writing cumbersome java programs. It helps in processing crude data. 

·       Hive:

Hive is a declarative SQL language to create a report of furbished data.

·       Hadoop:

 It is a framework used for data processing applications implemented in a data computing environment. Some of the subsets of the Hadoop ecosystem are Flume, Hive, Connector, Mahout, Oozie, and HBase.

·       Mapreduce:

As the name suggests, it signifies mapping and reduction of data sets. It is a distributive and computing model of Java.

·       SQL/NO SQL: 

A query language to manage the database for the data management system.

Companies in Bangalore hiring Data Engineers:

1.     Amazon

2.     Walmart labs

3.     Goldman Sachs

4.     IBM

5.     Paytm

6.     Tech Mahindra limited

7.     True Caller

8.     Alcon

9.     Lending kart

10.  Affine Analytics

11.  Semantic web India

12.  Swiggy

13.  Furlenco

14.  Cisco Systems

15.  Bosch Group

16.  Catalyst Solutions

17.  Intel Technology

18.  Birla Soft

19.  Neutrinos

20.  Altimetrik

21.  Prompt cloud

22.  Acko

23.  Cervello inc

24.  Antuit

25.  Bounce

26.  DataWeave

27.  Deloitte

28.  Redbus

29.  Uber

30.  Johnson & johnson

31.  Mu sigma

32.  Phone pe

3. DATA ANALYST:

“There’s a strand of the data viz world that argues that everything could be a bar chart. That’s possibly true but also possibly a world without joy.”

Amanda Cox

“There’s a strand of the data viz world that argues that everything could be a bar chart. That’s possibly true but also possibly a world without joy.”

Amanda Cox

Data Analysts are the Sherlock Holmes of the data world, who cultivate the data collected by data engineers into meaningful information. They find out patterns and mold them into streamlining the database for further analysis, which is done by the data scientist. Their operation module consists of

Querying -> organizing -> sorting patterns

Skills required for Data Analyst:

·       R/Python/SAS:

Indeed you need Python again to disintegrate logical data and 

Python helps in clustering and computing consistent data. It amplifies the data script on a larger scale. Python is lucrative and dearest when it comes to handling data. You can say Data Science and Python courses come in full complementary stack together.

·       Tableau:

Tableau is the most powerful tool for analytics and business intelligence. It plays a significant part in clustering data, text mining, forecasting, and verifying regression models.

·       PowerBi: PowerBi is a cloud-based solution from Microsoft to analyze and visualize data more efficiently with greater speed. The drag and drop interface in PowerBi helps to compare, sort, and analyze data.

Companies hiring Data analyst in Bangalore:

1.     Catalyst

2.     Walmart labs

3.     CBRE South Asia private ltd

4.     Accenture

5.     Capgemini

6.     Flipkart

7.     Ernst and Young

8.     Oracle

9.     SAP labs

10.  Dell international

11.  Mindtree

12.  Nokia Networks

13.  CGI Group Inc

14.  IBM India

15.  Mphasis

16.  Mckinsey Global services

17.  Sapient consulting

18.  Wipro

19.  Cognizant technology

20.  Intel Technology

21.  Wipro BPS

22.  Infosys Technologies

23.  Frontline consulting

24.  NetApp

4. DATA SCIENTIST

Aim for simplicity in Data Science. Real creativity won’t make things more complex. Instead, it will simplify them.”

Damian Duffy Mingle

Aim for simplicity in Data Science. Real creativity won’t make things more complex. Instead, it will simplify them.”

Damian Duffy Mingle 

Data scientists are the Alchemists who convert data to magical, informative potions. They are experienced Data Engineers who have grown into vast expertise in the world of data. They make wise use of machine learning and analysis to collect and analyze data and trigger it for business consumption using mathematical modeling algorithms, and strong programming skills.

Skills required for Data Scientists:

·       R-programing:

R is a data-friendly analytical programming language. It is the second preferred programming language for data after Python.

·       Python Coding:

Python is the zen of Data science, the ultimate companion who complements the data. It is an all-purpose versatile programming language which helps in creating data sets from unsorted information.

·       Hadoop platform:

 It is a framework used for data processing applications implemented in a data computing environment. Some of the subsets of the Hadoop ecosystem are Flume, Hive, Connector, Mahout, Oozie, and HBase.

·       Mapreduce:

As the name suggests, it signifies mapping and reduction of data sets. It is a distributive and computing model of Java.

·       SQL/NO SQL: 

A query language to manage the database for the data management system.

·       Apache spark:

It is a platform that resolves glitches from inadequate data or tracking lost data. It disseminates massive data into chunks, which helps the algorithm run faster.

Companies Hiring data scientists in Bangalore:

1.     IBM India

2.     Flipkart

3.     Capgemini

4.     Indegene life systems

5.     Accenture

6.     Dell International

7.     GE IIPL

8.     Sandvik Asia

9.     Ernst & Young

10.  PWC SDC Bangalore

11.  Nokia Networks

12.  Synechron Technologies

13.  Cognizant technologies

14.  Hewlett Packard

15.  Frontline consulting

16.  Accel frontline

17.  Symphony teleca

18.  Intel technology

19.  Oracle

20.  Yodlee infotech

21.  Quest Global.

What are you waiting for? Relish your dream and become a data scientist. Bangalore is waiting to make you land into a heap of opportunities with great learning platforms and best career support. Whether you are looking for data science jobs in Bangalore for freshers, or you are exploring data science opportunities in Bangalore as an experienced professional, there is no dearth of opportunities.