The Data Science India Attrition Report is an annual research that delves into the attrition traits to supply a complete view of the altering panorama of attrition in India’s knowledge science trade. The report appears to be like on the attrition charges throughout a number of classes, together with geographies, firm sizes, years of expertise, industries, and cities.
This research will be benefitted recruiters, entrepreneurs, trade policymakers, firms, knowledge science specialists to get the general view concerning the attrition charge of the info science trade in India.
You can entry studies from earlier years on the hyperlink beneath:
The attrition charge within the Data Science market stands at 28.1% in 2021, a 12.1pp improve in comparison with 2020. The large improve within the attrition charge is essentially because of greater demand for knowledge science professionals throughout industries.
The growing adoption of digitisation amongst numerous conventional companies, and the explosion of tech startups in India, accelerated the demand for professionals with digital expertise. Especially professionals with experience in knowledge science are in very excessive demand throughout industries. They assist firms leverage accessible knowledge to achieve buyer insights, predict future traits, streamline enterprise processes, and others.
In addition, because of their criticality to companies, professionals on this area are experiencing large alternatives to modify their jobs for greater salaries, versatile work preparations, ESOPs, and different advantages as firms are within the hunt to recruit the most effective expertise out there. As a end result, the attrition charge within the knowledge science market has skyrocketed.
- The attrition charge for knowledge science/analytics professionals for the 12 months 2021 stood at 28.1%, up from 16.0% in 2020.
- The attrition charge of enormous firms with greater than 10,000 staff is 30.8% and of firms with lower than 50 staff is at 26.7%.
- Bangalore has the very best attrition charge amongst metropolitan cities, at 29.7%, adopted by Mumbai (28.8%), Kolkata (28.1%), and Delhi/NCR (27.8%).
- BFSI has the very best attrition at 34.2%, whereas the bottom is for Telecom at 20.5%.
- High development companies like Startups and Boutiques have the very best attrition charges of 43.7% and 42.1%, respectively.
- The attrition charge amongst key knowledge science roles is the very best for AI/ML Engineers at 34.3%.
- More than one in three (34.5%) knowledge science professionals with lower than two years of expertise switched jobs in 2021 — this quantity reduces to 12.9% for professionals with greater than 10 years of expertise.
- Entry-level professionals switched jobs at a charge of 32.3% in comparison with management roles who’ve an attrition charge of 15.0%.
Attrition by Company Size
The attrition charge is the very best for firms with a measurement of 5001-10000 at 37.5%
The attrition charge for workers within the 5001-10000 and 10000+ firm measurement greater than doubled within the final 12 months
The attrition charge was round 50% for workers with lower than two years of expertise throughout all firm sizes
Overall, the attrition charge of knowledge science professionals was the very best for firms sized 5001-10000 at 37.5%. It was additionally excessive for firms with greater than 10,000 staff at 30.8%. This quantity is round 26.7% for firms with lower than 50 staff and 28.6% for 51-200. The lowest attrition charge at 25.0% is for mid-sized firms with 201-500 staff.
Over the years, the attrition charge for mid-sized firms is seen to be low in comparison with small enterprises or larger companies. Smaller firms have decrease stability whereas larger firms current knowledge science professionals with lesser alternatives to scale of their careers.
Companies throughout all sizes see the next attrition charge in entry-level to mid-level roles than people in administration to management roles. Even firms sized 201-500 had the second-highest attrition charge (51.1%) for workers with lower than two years of expertise.
The highest Y-o-Y rise (20.5 pp) in attrition charge from 2020 to 2021 was seen in firms with 5001-10000 staff. Conversely, the rise was lowest (2.7pp) for the businesses with lower than 50 staff.
The attrition charge for firms with 501-100 and 1001-5000 staff elevated by comparatively low margins of 12.6pp and 14.3pp, respectively.
Attrition by Cities
Bangalore has the very best attrition charge amongst all metropolitan cities at 29.7%
The attrition charge in Bangalore and Chennai nearly doubled (1.9 occasions) in 2021 on a Y-o-Y foundation
More than one in 4 of pros who switched jobs in India moved to firms in Bangalore
Considering that it’s known as the Silicon Valley of India, Bangalore offers the very best variety of job alternatives throughout sectors for techies to modify their jobs for higher profession development. As a end result, it has the very best attrition charge at 29.7%. Furthermore, round 27.7% of whole knowledge science professionals who switched jobs in 2021 in India moved to firms based mostly in Bangalore. Mumbai stood in second place with an attrition charge of 28.8%.
Bangalore and Mumbai additionally had the very best annual improve of their attrition charges of roughly 13.9pp and 13.0pp.
On the opposite hand, Hyderabad had the bottom attrition charge at 22.7% and in addition noticed the bottom Y-oY development of simply 8.7pp.
Sectors with excessive attrition charge are predominantly based mostly in Mumbai. These are additionally sectors seeing a excessive adoption of data-driven applied sciences resulting in extra job alternatives within the subject.
The attrition charge by years of expertise is highest for the professionals with lower than two years of expertise throughout all of the cities, starting from 31.7% for Hyderabad to 43.7% for Bangalore. On the opposite hand, the attrition charge is lowest for professionals with greater than 10 years of expertise, starting from 13.7% for Chennai to 19.6% for Hyderabad.
Cities like Kolkata and Pune see a excessive attrition charge amongst youthful professionals as they search alternatives in larger cities like Bangalore, Delhi, and Mumbai.
Attrition by Industries
BFSI had the very best attrition charge at 34.2% in 2021
BFSI had the very best improve in attrition of 21.2pp in 2021 in comparison with the earlier 12 months
The attrition for BFSI (34.2%) is roughly 1.7 occasions greater than Telecom trade (20.5%) that has the bottom attrition
The highest attrition charge is witnessed by BFSI at 34.2%, adopted by Pharma & Healthcare at 32.8%. The key causes for greater attrition throughout these industries will be attributed to the excessive competitors of knowledge science expertise with the respective area data.
To repeatedly improve the standard of their apps and buyer expertise, Intenet/eCommerce companies are chasing expertise from throughout the trade by providing considerably greater packages and different perks. As a end result, the attrition charge within the trade is the third-highest at 31.9%, a rise of 14.4pp on a Y–o-Y foundation.
The telecom sector had the bottom attrition charge at 20.5%. It additionally had the second-lowest annual improve of simply 11.4pp in its attrition charge.
While growing digitisation has led to many alternatives for knowledge scientists throughout sectors, conventional industries like Telecom, Oil & Industrial, or Education nonetheless are likely to have decrease attrition charges.
Across most industries, professionals with lower than two years of expertise had the very best attrition charge, starting from 28.3% for Telecom to 42.1% for BFSI. On the opposite hand, professionals with greater than ten years of expertise have the bottom attrition charge, starting from 8.0% for Oil & Industrial to 18.9% for Pharma & Healthcare.
The attrition charge of pros with 3-5 years of expertise in Telecom and Marketing & Advertising (31.4% and 38.5%) is decrease than the attrition charge of pros with lower than or equal to 2 years of expertise (28.3% and 29.5%).
Attrition by Company Type
Across firm varieties, the attrition charge is highest in Startups at 43.7%
The attrition charge in Startups is 1.7 occasions greater than the speed in Domestic Firms
Almost one in two (47.7%) of managers in Boutique analytics companies switched jobs within the final 12 months
Despite higher pay scales and quicker profession development alternatives, the attrition charge amongst Startups and Boutiques companies in India is the very best. The key causes for such a excessive attrition charge embrace excessive uncertainty, overburdening staff with work, reluctance in energy decentralisation, and tradition. As a end result, the attrition charge in these companies stands at 43.7% and 42.1%, respectively.
High development companies like startups and boutique AI companies are likely to have excessive attrition charges as knowledge scientists soar ships quick inside these companies looking for higher alternatives.
This is adopted by Consulting companies (34.5%) and Captives (30.5%). These companies provide aggressive salaries, and professionals are sometimes seen leaping ships inside these companies for a greater paycheck.
The no-growth path, neck to neck competitors, and dangerous work tradition are a few primary causes for the attrition charge in IT Service companies. However, comparatively decrease, the attrition charge for these companies stands at 27.6%.
Domestic companies witness a decrease attrition charge because of comparatively slower adoption of rising applied sciences. Also, the tradition in these companies influences the low attrition charges to an extent. Hence, the speed of attrition is round 25.0% inside home companies.
Attrition by Years of Experience & Seniority
The attrition charge is the very best throughout most segments (cities, industries, companies, firm measurement and seniority) for professionals with lower than two years of expertise
The attrition charge for professionals with 6-10 years of expertise greater than doubled (2.3 occasions) on a Y-o-Y foundation
More than one in eight (12.9%) professionals with over 10 years of expertise switched their jobs
Professionals with lower than two years of expertise have the very best attrition charge at 34.5%—5.7pp greater than the earlier 12 months.
On the opposite hand, the bottom attrition charge is for professionals with greater than ten years of expertise—at 12.9%, this can be a Y-o-Y improve of 4.9pp.
Hence, the hole between the attrition charges of these with greater than ten years of expertise and people with lower than two years of expertise grew additional to 21.6pp in 2021, up from 20.8pp in 2020.
A big improve in attrition throughout expertise brackets of three to five and 6 to 10 years signifies a excessive demand for knowledgeable hands-on knowledge science skilleds.
The attrition charge for professionals with 3-5 years of expertise (at 32.5%) grew by greater than 1.8 occasions over the earlier 12 months and for professionals with 6-10 years of expertise (at 25.8%) by 2.3 occasions.
At 32.3%, entry-level professionals have an attrition charge greater than twice (2.2 occasions) of CXOs who’ve an attrition charge of 15.0%
The attrition charge of entry-level positions in startups and consulting companies was greater than common with round one out in two professionals switching jobs in 2021
Almost one out of 5 (19.0%) VPs throughout all industries switched jobs
The highest attrition charge is seen for entry-level at 32.3%, whereas CXOs see the bottom attrition at 15.0%.
The attrition hole between the CXOs and entry-level professionals might be 17.3pp in 2021.
The second highest attrition charge by seniority is seen in senior to managerial roles, at 27.8%.
The attrition charge for Directors and VPs is 23.1% and 19.0%, respectively.
Attrition by Data Science Roles
More than one-third of pros in AI engineering roles – AI/ML Engineer (34.3%), Deep Learning Engineer (33.5%), – are actively switching jobs
Data scientists have an attrition charge of 28.6%, 3.6pp greater than knowledge analysts
One in two AI/ML Engineers (48.2%) and NLP Engineers (49.2%) with expertise lower than two years switched jobs final 12 months
The attrition charge is highest for NLP engineers at 36.0%, adopted by AI/ML engineers and Deep Learning Engineer at 34.3%, and 33.5% respectively. This attrition will increase considerably for analytics professionals with lower than two years of expertise (48.2% and 41.6% respectively).
Data professionals in engineering roles are gaining significance as the problems with scalability of AI/ML fashions turn into extra pertinent. A scarcity of fine expertise within the subject additionally makes these professionals vulnerable to attrition.
Data Scientists have an attrition charge of 28.6% in comparison with 27.3% for Business Intelligence Analysts and 25.0% for Data analysts. These three roles have the next attrition charge (62.3%, 64.7%, and 64.7% respectively) in terms of Boutique Analytics companies.
High demand for knowledge engineers can also be mirrored of their attrition charges, which stands at 31.9%. In the BFSI sector, this will increase to 38.5%.