LTFS Data Science FinHack 2

Online 18-01-2020 12:00 AM to 26-01-2020 11:59 PM
  • 6319


  • Cash prizes worth INR 3.5 lacs & Interview opportunities with LTFS


L&T Financial Services & Analytics Vidhya presents ‘Data Science FinHack 2’.

Amazing opportunity for all creative nerds to apply their data science & machine learning skillset to best solve a real business problem.

In this FinHack, you will develop a model for our interesting business challenge ‘Business Forecasting’.

Attractive cash rewards up for grabs as always!!

Top participants get an opportunity to be interviewed for ‘Advanced Analytics’ roles at LTFS.

If your solution adds good value to our organization, take it from us, Sky is the limit for you!

About L&T Financial Services (LTFS)

Headquartered in Mumbai, LTFS is one of India’s most respected & leading NBFCs providing finance for two wheeler, farm equipment, housing, infra & microfinance. With a strong parentage & stable leadership, it also has a flourishing Mutual Fund & Wealth Advisory business under its broad umbrella.

Our Advanced Analytics team

  • Solves only ‘Real’ Business Problems through Data
  • Enables business decisioning across all verticals
  • Harnesses external data (incl. mobile, social media, bureau, socio economic etc)
  • Utilises non-conventional and innovative data science approaches

LTFS was featured in "Forbes Super 50 Companies“(August 2018)

To know more about LTFS, please visit:

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About the Job Role:

Positions: Data Scientist
Location: Mumbai
Minimum Qualification: BTech/MTech/MS in Stats/Maths/Economics/Analytics and an Analytical Mind!!
Relevant Work Experience: 2+ Years
Mandatory Skillset: Creative thinking, Analytical mindset, Conceptualising & Problem Solving

Summary of Responsibilities

  • Collaborate with fellow data scientists, business teams & internal stakeholders
  • Conceptualise business problems, design & deliver superior analytical solutions
  • Independently handle project work streams with minimum supervision
  • Think, think, think... & lastly, deliver & execute

Desired Skills

  • Proven background in at least one: Regression Models – Logistic/Linear, Stochastic Models, Bayesian Modeling, Classification Models, Cluster Analysis, Neural Network, Non-parametric Methods, Multivariate Statistics;
  • Proficiency in at least one statistical and other tools/languages – R/Python/SAS;
  • Familiarity with relational databases and intermediate level knowledge of SQL;
  • Experience working with large data sets and tools like MapReduce, Hadoop, Hive, etc would be an advantage

Who all can Participate?

  • Open for all data enthusiasts: Statisticians, Data scientists, Analysts, and Students.
  • LTFS employees are not allowed to participate in the competition.


  • 1st : INR 2,00,000
  • 2nd : INR 1,00,000
  • 3rd : INR 50,000

Top scorers also get a chance to interview with LTFS for roles in Advanced Analytics team based out of Mumbai.


  • Entries submitted after the contest is closed, will not be considered
  • Individual participation is allowed in the hackathon, and participant can either be a part of a team or can participate individually.
  • Multiple IDs of user leads to disqualification from the contest
  • Accuracy & solution implementability to be key factors in determining winners
  • Participants who are interested in a job opportunity with LTFS must update their profile details and upload their latest CV
  • Decision on the winners and runners-up made by Analytics Vidhya & LTFS will be final and binding
  • Throughout the hackathon, you are expected to respect fellow hackers and act with high integrity
  • Analytics Vidhya and LTFS hold the right to disqualify any participant at any stage of competition if the participant(s) are deemed to be acting fraudulently.
  • Cash prizes will be subject to TDS (Tax Deduction at Source) as per Indian Laws.

Team Formation

  • Click  here  to view process flow for Team Creation
  • Maximum of 2 people can form a team.
  • One person can be a part of one team only.
  • In case a team wins, prize would be distributed equally among team members
  • Team once created can't be dissolved.
  • Teams can't be merged.

Please register/login to participate in the contest

Please register to participate in the contest

Please register to participate in the contest


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