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Data Scientist Jobs in Bangalore | High-Paying Fintech Career Opportunities

Are you a passionate statistics fanatic eager to take the next large step to your professional journey?
Do you dream of running on fintech products which have the strength to convert how tens of millions of people engage with cash each day?
in case your answer is sure, then this could be the career-defining opportunity you’ve been looking forward to!

At success p.c. Consulting Pvt. Ltd., we concentrate on bridging the space among top tech talent and global-class agencies. we’re presently hiring facts Scientists and information technological know-how Architects for one among our leading fintech product clients in Bangalore. these roles offer a number of the highest income programs inside the market, worldwide exposure, and the hazard to work on modern, massive-scale merchandise that make a actual distinction.


data Scientist jobs

Why Choose a Career in Statistics Technology in Fintech?

The fintech enterprise is one of the fastest-growing sectors in India and globally. With the upward push of digital transactions, AI-powered lending, online banking, blockchain bills, and fraud detection systems, there has been an exponential demand for skilled facts technological know-how professionals.

working in fintech permits you to use your competencies to remedy real-global problems like financial inclusion, relaxed digital bills, credit danger assessment, and consumer experience personalization. statistics technological know-how has end up the backbone of fintech innovation, driving performance, protection, and profitability.


Key Benefits of Pursuing a Fintech Data Science Career

1. Exponential Industry Boom & Job Security

The Indian fintech marketplace is projected to reach $150 billion by using 2025, and data technological know-how plays a important role in this change. whether or not it’s predictive analytics for mortgage approvals, real-time fraud detection, or AI-driven customer support bots, records technological know-how know-how is in excessive demand. This translates to lengthy-term profession balance and relatively competitive salaries.

2. Opportunity to Work on High-Impact Solutions

As a data scientist in fintech, you’ll work on tasks that without delay effect hundreds of thousands of users. Your algorithms would possibly help discover fraud in milliseconds, optimize credit scoring for underserved populations, or propose the nice funding alternatives for users.

3. Ideal City to Build Your Career – Bangalore

referred to as the Silicon Valley of India, Bangalore is the hub of tech innovation and fintech startups. This metropolis gives infinite networking opportunities, get admission to to tech meetups, hackathons, and a vibrant ecosystem of AI/ML experts. working right here will put you at the epicenter of innovation.


What Do Data Scientists Do in Fintech?

In a fintech surroundings, information scientists collaborate with product, engineering, and business groups to create shrewd structures. Their paintings includes:

  • Predictive Analytics: constructing fashions for credit score scoring and mortgage approval
  • Fraud Detection: growing gadget studying algorithms that stumble on suspicious transactions
  • patron conduct analysis: Personalizing consumer reports the use of statistics insights
  • massive statistics Analytics: Processing hundreds of thousands of transactions for compliance and hazard management
  • AI-pushed guidelines: Recommending investments, financial savings plans, and offers to customers

Current Openings – Data Scientist Roles in Bangalore

We presently have 3 premium-level openings for knowledgeable statistics science professionals with pinnacle repayment packages:

🔹 Architect – Data Science

💰 profits: as much as ₹1.2 Crore (fixed)
📅 revel in: eight–eleven Years

Role Overview:

  • Lead the end-to-cease records approach and oversee huge-scale AI/ML gadget layout
  • Mentor junior data scientists and guide product groups in imposing pleasant practices
  • awareness on constructing scalable, manufacturing-geared up information architectures
  • pressure innovation through discovering new ML techniques and integrating them into business answers

🔹 Data Scientist – III

💰 revenue: up to ₹75 LPA (constant)
📅 experience: 6–eight Years

Role Overview:

  • paintings on advanced machine getting to know models, advice engines, and large records pipelines
  • Collaborate with cross-functional teams to deploy AI-pushed fintech answers at scale
  • make sure models meet commercial enterprise KPIs, compliance, and overall performance benchmarks

🔹 Data Scientist – II

💰 salary: as much as ₹50 LPA (fixed)
📅 experience: 2–5 Years

Role Overview:

  • make a contribution to constructing ML models, acting exploratory facts analysis (EDA), and deploying manufacturing-prepared fashions
  • paintings carefully with senior data scientists to decorate algorithms and enhance prediction accuracy

Skills Required for Fintech Data Scientist Jobs

to reach those roles, applicants must own:

  • Programming Languages: Python, R, SQL
  • gadget getting to know Libraries: TensorFlow, Scikit-learn, PyTorch
  • large information equipment: Spark, Hadoop, Hive
  • Visualization equipment: Power BI, Tableau
  • Cloud systems: AWS, GCP, or Azure
  • robust know-how of facts, opportunity, optimization, and model evaluation metrics

extra enjoy in monetary product modeling, threat scoring, or customer analytics is a sturdy gain.


Why Apply Through Success Pact Consulting?

At success p.c. Consulting, we don’t just connect you with a process — we help you construct a protracted-time period career method.

✅ get admission to to one of a kind high-paying jobs in Bangalore
✅ Direct connection with leading fintech businesses
✅ customized career steerage and interview coaching
✅ opportunities to work on global-scale fintech merchandise


How to Apply

📩 Email Your CV: ship your updated CV to taniya.rajput@successpact.com
📝 challenge Line: software for facts Scientist function – Bangalore
📞 Shortlisted candidates can be contacted for similarly discussion.

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