Data Scientist
Confirmed on the employer's own hiring board on Oct 22, 2026. First seen by Alion on Jun 3, 2026.
Data Scientist
Location: Bangalore
What is Muthoot FinCorpONE?
Muthoot Fincorp ONE, is a fintech startup and SBU of Muthoot FinCorp Ltd., building a financial ecosystem where customers can access relevant and reliable digital services across an expansive range of digital financial products in segments like Lending, Saving & Investment, Protection, and Remittance.
Our products are designed to ensure a simple, reliable, and responsive financial environment for our customers. Envisioned to be the most trusted financial service provider, our app has an easy-to-use interface aimed to enhance user experience and comfortable navigation.
Our promoter, Muthoot FinCorp Ltd., is one of the most reputed names in the Fintech industry and has the customers' trust in diverse segments like Financial Services, Automotive, Hospitality, Alternate Energy, Real Estate, and Precious Metals.
We continue to uphold the values of our parent, the Muthoot Pappachan Group by providing you with easily accessible services, replete with our unmistakable quality.
Muthoot FinCorp ONE believes in an ownership driven startup culture, where cumulative success is paramount, and each team member is valued and nurtured.
What can you expect?
?Build the future, Today -Build for scale in an ever-expanding marketplace
?Attractive compensation* -Attractive salaries and benefits
?Perks & other benefits -Wholesome well-being and personal satisfaction
???Work with the brightest minds in the industry -Premium colleges, great pedigreeand amazing teams
?Dynamic work environment: Stable yet exciting -Constant challenges that test the best in you
?Fast-paced growth -Wide exposure, and terrific mentors to accelerate professional growth
Role of Data scientist:
Undertaking data collection, preprocessingand analysis
Building models to address business problems
Presenting information using data visualization techniques
Responsibilities:
Identifyvaluable data sources and automate collection processes and enhancing data collection procedures
Undertake preprocessing of structured and unstructured data
Analyze large amountsof information to discover trends and patterns
Build predictive models and machine-learning algorithms
Combine models through ensemble modeling
Present information using data visualization techniques
Propose solutions and strategies to business challenges
Collaborate with engineering and product development teams
What do you need to succeed?
Degree in Engineering/ Computer Science/ Economics, Statistics or Mathematics
Data-driven mindset, critical thinkingand problem-solving skill
1-3yearsof experience in analyzing large, multi-dimensional data sets
Expertisein converting insights into actionable solutions
Expertisein SQL, Excel, and visualization tools such as Power bi, Tableau
Experience with a statistical programming language like R or Python preferred
Machine learning experience of 1-3years of implementing and successfully deploying ML solutions at scale for real-world problems.
Strong written and verbal communication skills to influence stakeholders