TMB Data Scientist Recruitment 2026

TMB Data Scientist Recruitment 2026

Tamilnad Mercantile Bank Limited (TMB)

Vacancy

1

Salary

Manager Cadre scale (exact figures not disclosed)

Job Type

permanent

full time

Apply By

18 Jul 2026

About This Job

Apply for Data Scientist post in TMB. Bachelor's/Master's in Data Science eligible. Last date: 18 Jul 2026. Apply online at tmbonline.bank.in.

Tamilnad Mercantile Bank (TMB) is hiring a Data Scientist in the Manager cadre, with posting at Chennai. If you have a Bachelor's or Master's degree in Data Science, Computer Science, Statistics or a related field, you can apply online. The last date to apply is 18 July 2026, and you should be up to 35 years old as on 30 June 2026.

Tamilnad Mercantile Bank Limited (TMB) Data Scientist Recruitment 2026

Tamilnad Mercantile Bank Limited (TMB), one of India's leading old private sector banks, has released a notification to hire a Data Scientist in the Manager cadre at its Chennai office. This role focuses on building predictive models and data-driven insights to support the bank's lending and business decisions. TMB is on a growth path and is increasingly relying on analytics to understand customer behaviour, credit risk and business trends, which is why it needs a dedicated Data Scientist in its Manager cadre team. If you have hands-on experience with Python, R and data visualization tools and want to work in banking analytics, this is a good opportunity to join a growing private sector bank.

You will be expected to work with large volumes of banking data, build models that forecast future outcomes such as credit risk or customer churn, and present your findings in a way that non-technical stakeholders can understand and act on. Strong problem-solving and communication skills are just as important here as your technical toolkit, since you will often be translating data insights into practical banking decisions.

Who Can Apply?

  • Qualification: Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.
  • Experience: 3 years of work experience in a bank, financial institution, or with large databases as a Data Scientist.
  • Desirable Skills: Strong programming skills in Python, R or similar languages; experience with data visualization tools like SAS, Tableau, Power BI; experience building predictive models to forecast outcomes; good problem-solving, analytical and communication skills.

Age Limit

  • You should be up to 35 years old as on 30 June 2026.

Application Fee

  • All Categories: No Fee (Nil)

Selection Process (No Written Exam)

TMB will select candidates through a single stage:

  1. Personal Interview: Shortlisted candidates will be called for an interview, either directly or through video conferencing. The mode, date and time will be shared individually with eligible candidates.

Note: Canvassing in any form will disqualify your candidature, and any pending vigilance issue against you will also affect your eligibility for appointment.

How to Apply

  1. Go to the TMB careers portal at ib.tmbonline.bank.in/tmb_careers.
  2. Read the detailed advertisement under "Download Advertisement" before applying, and make sure you meet the eligibility criteria.
  3. Click Apply Online and register yourself for the Data Scientist post.
  4. Use a valid personal email ID and mobile number — the bank will send your Registration Number and Password to these, and may also send interview call letters to your registered email.
  5. Fill in the online application form with your details.
  6. Submit the form before 18 July 2026 and keep your registration details safe for future reference.

Important Dates

  • Online Application Start: 3 July 2026
  • Last Date to Apply Online: 18 July 2026

Responsibilities

  • Build and maintain predictive models to support business decisions
  • Analyze large banking datasets to identify trends and insights
  • Develop dashboards and visualizations using tools like Tableau or Power BI
  • Write and maintain code in Python, R or similar languages for data analysis
  • Work with cross-functional teams to apply data science to banking operations
  • Present findings and recommendations to management
  • Monitor model performance and refine algorithms as needed

Eligibility Criteria

Minimum Qualification

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field

Required Skills

Python, R programming, data visualization (SAS/Tableau/Power BI), predictive modeling

Age Limit

18 - 35 years (as on 30 Jun 2026)

Experience

3.0 - No limit years

Am I eligible?

Quick self-check against this job's age & qualification. Indicative only — always confirm with the official notification.

✓ You look eligible ⚠ Borderline — check age relaxation ✗ You may not be eligible

  • You're below the minimum age ().
  • You're above the maximum age ().
  • Above the general age limit (), but you may qualify under reserved-category relaxation (up to ).
  • This post needs a higher qualification than the one selected.
  • Couldn't auto-check the qualification — see the criteria above.

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Application Fee

Category Fee
General Exempted

* Fee payment may be subject to additional bank charges

Salary & Compensation

Pay Scale

Manager Cadre scale (exact figures not disclosed)

Selection Process

  1. 1 Interview

Additional Requirements

Computer Knowledge Required

How to Apply

Application Mode: online

Click the "Apply Now" button to visit the official application portal.

Frequently Asked Questions

The last date to apply online is 18 July 2026. Make sure you register and submit your application before this date.

You need a Bachelor's or Master's degree in Data Science, Computer Science, Statistics or a related field, with 3 years of experience as a Data Scientist in a bank or financial institution.

You can apply online through the TMB careers portal at ib.tmbonline.bank.in/tmb_careers before the last date.

Selection is based only on a personal interview — there is no written exam for this post.

You should be up to 35 years old as on 30 June 2026.

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