Data Scientist Job at Barclays – Noida | Salary ₹25 LPA | Apply Now

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Exciting: Barclays Hiring Now: Data Scientist – BA4 | ₹25 LPA | Apply Today

Exciting: Barclays Hiring Now: Data Scientist – BA4 | ₹25 LPA | Apply Today

Hiring Now: Data Scientist – BA4 at Barclays

Company: Barclays
Rating: ⭐ 3.9/5 (10,930+ Reviews)
Experience Required: 1 – 3 years
Salary: ₹15-25 Lacs P.A.
Job Type: Full-Time, Permanent
Location: Noida (Hybrid)
Preferred Candidates: Women Candidates Preferred
Openings: 6
Applicants: 5,625+
📅 Posted: 23 days ago

🚀 Job Highlights

✅ Work on cutting-edge machine learning models for business decision-making.
✅ Collaborate with technology teams for seamless integration of data analytics.
✅ Solve complex business challenges with advanced data science techniques.
✅ Opportunity to work with a global financial services leader.
✅ Attractive salary package & performance-based incentives.

📌 Job Description

🎯 Purpose of the Role

As a Data Scientist (BA4) at Barclays, you will design, develop, and implement advanced machine learning models that power data-driven decision-making. You will play a pivotal role in model development, validation, and governance, ensuring data science solutions align with business goals.

📌 Key Responsibilities

📊 Data Science & Analytics

✔ Develop and implement machine learning models and statistical solutions for various business challenges.
✔ Work with large datasets to build predictive models, analyze trends, and drive business growth.
✔ Leverage Python, SQL, Spark/PySpark, and XGBoost/LightGBM for advanced data analytics.
✔ Ensure compliance with Barclays’ Model Risk Policy and enterprise data governance guidelines.

🖥️ Collaboration & Integration

✔ Partner with technology teams to identify key data dependencies and integrate analytics solutions effectively.
✔ Work with cross-functional teams to ensure models are operationalized seamlessly.
✔ Provide business insights through reports, dashboards, and visualization tools.

📈 Model Lifecycle & Monitoring

✔ Monitor the performance of deployed models and enhance them based on real-world data trends.
✔ Ensure machine learning models are explainable, reliable, and optimized for efficiency.
✔ Use JIRA and DevOps tools (Git, Bitbucket, Teamcity, Jenkins) for model lifecycle management.

📑 Documentation & Reporting

✔ Maintain detailed documentation for model development, validation, and implementation.
✔ Generate periodic reports on model performance, data trends, and insights.
✔ Collaborate with audit and compliance teams to ensure regulatory adherence.

🎓 Preferred Candidate Profile

🔎 Qualifications & Skills

📌 Education: Bachelor’s or Master’s degree in Computer Science, Mathematics, Data Science, or a related field.
📌 Technical Skills: Expertise in Python, SQL, Spark, XGBoost, LightGBM, and Gradient Boosting.
📌 Machine Learning: Hands-on experience with predictive modeling, fraud detection, and financial analytics.
📌 Domain Expertise: Understanding of financial crime, fraud detection, and risk modeling is a plus.
📌 DevOps Knowledge: Familiarity with Jenkins, Git, Bitbucket, DataBricks.
📌 Soft Skills: Strong analytical thinking, problem-solving, and collaboration abilities.

🌟 Why Join Barclays?

✨ Work with Industry Leaders

Barclays is a global financial services leader with over 155,000 employees worldwide. This role provides an opportunity to work on high-impact data science projects within the Group Control Quantitative Analytics (GC QA) team.

📢 Cutting-Edge Technology

✔ Exposure to state-of-the-art AI, ML, and data analytics tools.
✔ Hands-on experience with Cloud Computing, Big Data, and Advanced Analytics.

📈 Career Growth & Learning

Leadership opportunities to mentor junior data scientists.
✔ Access to training programs, certifications, and conferences.
✔ Exposure to global projects and cross-functional teams.

💰 Attractive Compensation & Benefits

Competitive Salary: ₹15-25 LPA.
Performance-Based Bonuses and Incentives.
Work-Life Balance: Flexible Hybrid Work Model.
Comprehensive Benefits: Health Insurance, Retirement Plans, and Paid Leaves.
Diversity & Inclusion: Women candidates preferred for leadership roles.

🚀 How to Apply?

📩 Click the “Apply” button and submit your resume & portfolio.
📆 Application Deadline: Apply ASAP – Limited Openings!

💡 Tip: Highlight your Python, Machine Learning, and Data Science skills in your resume for better chances!

📍 About Barclays

Barclays is a leading global financial services provider with operations in over 40 countries and 48 million+ customers worldwide. Barclays Shared Services (BSS) in Noida is a key hub for data science, technology, and financial analytics.

Join our high-performing team and shape the future of AI-driven banking solutions!

🔔 Don’t miss this opportunity! Apply now & kickstart your career in Data Science at Barclays! 🚀

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