Job Overview
| Particulars | Details |
|---|---|
| Position | Data Scientist |
| Company | Straive |
| Location | Bangalore | Gurgaon | Hyderabad |
| Job Type | Hybrid |
| Experience | 3 - 5 years |
| Category / Department | Data Scientist |
| Application Mode |
🏢 About Straive
Company Overview
Straive is a global provider of Data Analytics and Artificial Intelligence solutions that help organizations convert data into measurable business outcomes. By combining domain expertise, advanced analytics, and intelligent automation, Straive enables enterprises to improve efficiency, customer experiences, and business performance.
Mission
To empower enterprises through intelligent data, analytics, and AI solutions that deliver measurable business value.
Vision
To become a trusted global partner for AI-powered digital transformation and data-driven innovation.
Core Values
• Respect
• Innovation
• Accountability
• Client-Centricity
• Positive Collaboration
What Makes Straive Different?
• Enterprise-scale AI and Analytics expertise.
• Strong focus on measurable business outcomes.
• Innovation-led culture with continuous learning.
• Global exposure across diverse industries and technologies.
Straive – Bengaluru Office
Gramener, Ground Floor, South Tower, Vaishnavi Tech Park, Sy. No. 16/1 & 17/2, Ambalipura Village, Varthur Hobli, Sarjapur Main Road, Bellandur, Bengaluru – 560103
💡 Editor's Note / Preparation Tip
📝 Resume Tips
• Highlight Machine Learning and AI projects with measurable results.
• Showcase Python, SQL, and AWS expertise clearly.
• Include Banking or Fraud Detection experience if applicable.
• Mention cloud deployment and model optimization work.
• Add certifications related to AI, ML, or Cloud platforms.
🎤 Interview Preparation
• Revise Machine Learning concepts and algorithms.
• Practice Python coding and SQL queries.
• Review AWS services used for ML deployment.
• Prepare case studies related to fraud detection and predictive analytics.
• Be ready to explain end-to-end ML project implementations.
💡 Professional Tips
• Demonstrate business impact achieved through AI solutions.
• Explain model deployment and monitoring strategies.
• Highlight cloud architecture experience.
• Showcase problem-solving using real-world datasets.
• Stay updated on the latest AI and Generative AI advancements.
📝 Job Description
🚀 Hiring | Data Scientist | Straive
Ready to solve real-world business challenges using Data Science and Artificial Intelligence? Straive is looking for an experienced Data Scientist to join its growing AI & Analytics team. If you have strong expertise in Machine Learning, Python, SQL, and AWS, along with experience in Banking and Fraud Analytics, this is an excellent opportunity to work on enterprise-scale AI transformation projects.
📌 Position Details
Position: Data Scientist
Company: Straive
Location: Bangalore | Gurgaon | Hyderabad
Work Mode: Hybrid
Experience: 3–5 Years
Employment Type: Full-Time
Domain: Banking | Payments | Fraud Detection
Joining Preference: Immediate to 15 Days Notice Period Only
⭐ Preferred Skills
✔ Banking & Financial Services Domain Knowledge
✔ Payments Industry Experience
✔ Fraud Detection & Risk Analytics
✔ Experience with ML Frameworks
✔ Cloud-based AI Solution Deployment
🎯 Candidate Requirements
• 3–5 years of professional experience in Data Science.
• Strong programming skills in Python and SQL.
• Hands-on experience with Machine Learning frameworks.
• Experience deploying solutions on AWS Cloud.
• Exposure to Banking, Payments, or Fraud Detection projects is highly preferred.
• Strong analytical thinking and problem-solving capabilities.
🌟 Why Join Straive?
✅ Work on enterprise-scale AI and Data Analytics projects.
✅ Collaborate with global clients across multiple industries.
✅ Exposure to modern cloud and machine learning technologies.
✅ Learning-focused and innovation-driven work culture.
✅ Hybrid work environment with excellent career growth opportunities.
✅ Be part of an organization driving AI-powered business transformation.
📩 How to Apply
Interested candidates can share their updated resume at:
Know someone who would be a great fit? Tag them or share this opportunity with your network.
🎯 Key Responsibilities
- ✓ Develop and deploy machine learning models for enterprise applications.
- ✓ Analyze structured and unstructured datasets to generate business insights.
- ✓ Design scalable AI solutions using Python, SQL, and AWS services.
- ✓ Collaborate with business and technical teams to solve complex problems.
- ✓ Optimize model performance and improve prediction accuracy.
- ✓ Support AI initiatives across banking and payment-related use cases.
- ✓ Ensure high-quality, production-ready analytical solutions.
- ✓ Stay updated with emerging trends in AI, Machine Learning, and Cloud technologies.
💡 Required Qualifications & Skills
🚀 Career Guidance & Interview Insights
To help you succeed, we've compiled original preparation guides, resume keywords, and growth analytics for this category of role.
This Data Scientist role offers a dynamic work environment designed for professional growth. You will collaborate with experienced professionals, contribute to critical projects, and build transferable skills in communication, project management, and strategic execution. It is an excellent step for anyone seeking to advance their career.
Standard career growth starts in Junior/Associate executive roles, mastering foundational deliverables. After 3-5 years, professionals move to Senior Coordinator or Team Lead, supervising projects. Long-term progress leads to General Manager, Business Unit Director, and executive management roles focused on strategic organizational growth.
Expected Technical & Behavioral Questions:
- Q1: How do you handle working under tight deadlines with competing priorities?
Answer Tip: Discuss task prioritization, breaking down assignments, eliminating distractions, and proactively communicating roadblocks to the manager. - Q2: Describe a time you resolved a conflict with a co-worker.
Answer Tip: Emphasize active listening, finding common ground, keeping communication professional, and focusing on business outcomes. - Q3: What methods do you use to track your daily progress and productivity?
Answer Tip: Mention checklists, time-blocking, task management apps (like Trello/Asana), and reviewing daily outcomes against weekly goals.
To pass automated ATS (Applicant Tracking System) screening and catch the recruiter's eye, tailor your resume with the following tips:
- Keywords to include: Project Management, Stakeholder Communication, Time Management, Problem Solving, MS Office Suite, Documentation, Collaboration.
- Format: Keep the resume to 1-2 pages maximum. Use standard fonts like Inter, Arial, or Calibri (10-12pt text).
- Quantify Results: E.g., 'Managed 3 cross-functional team projects, delivering all milestones 2 weeks ahead of schedule.'
Estimated compensation for this role type in India is ₹3,60,000 - ₹6,50,000 per annum. The actual salary package offered depends on factors such as company size, work mode (remote or on-site), individual technical proficiency, and negotiations during final HR rounds.
To boost your professional profile, look into: Project Management Professional (PMP), CAPM from PMI, Certified ScrumMaster (CSM), or advanced business communications and spreadsheet management credentials.
Frequently Asked Questions
Q. Which locations are available for this role?
Bangalore, Gurgaon, and Hyderabad.
Q. Is this a hybrid position?
Yes.
Q. What experience is required?
3–5 years in Data Science.
Q. Which technical skills are mandatory?
Python, SQL, Machine Learning, AWS, and Data Analytics.
Q. Who can apply?
Candidates who can join immediately or within 15 days.
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