À propos de ce poste Senior Data Scientist chez Capco
Job Title: Senior Data Scientist
About Us
“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery.
WHY JOIN CAPCO?
You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.
MAKE AN IMPACT
Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.
#BEYOURSELFATWORK
Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.
CAREER ADVANCEMENT
With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.
DIVERSITY & INCLUSION
We believe that diversity of people and perspective gives us a competitive advantage.
MAKE AN IMPACT
Job Title: Data Scientist - Wealth Management / Retail Banking
Experience: 6 to 10 Years
Location: Pune / Bengaluru
Employment Type: Full-Time
About the Role
We are seeking a highly skilled and experienced Data Scientist to join our Data Platforms team. The ideal candidate will have strong expertise in Data Science, Machine Learning, Advanced Analytics, and AI-driven solutions, with hands-on experience in the Wealth Management or Retail Banking domain.
This role will focus on leveraging data to generate business insights, build predictive models, optimize customer journeys, enhance decision-making, and drive innovation across banking and wealth management products.
Key Responsibilities
- Develop, deploy, and maintain advanced machine learning and statistical models to solve complex business problems.
- Analyze large and complex datasets to identify trends, patterns, and actionable insights.
- Design and implement predictive analytics solutions for customer segmentation, churn prediction, cross-sell/up-sell opportunities, portfolio analytics, risk assessment, and client engagement.
- Collaborate with business stakeholders, product teams, platform engineers, and domain experts to translate business requirements into scalable analytical solutions.
- Build and optimize data pipelines and feature engineering frameworks to support model development.
- Monitor model performance and ensure continuous improvement through retraining and validation.
- Drive adoption of AI/ML best practices, model governance, and responsible AI principles.
- Communicate findings and recommendations to technical and non-technical stakeholders through presentations and visualization tools.
- Stay updated with the latest advancements in Machine Learning, Generative AI, and Banking Analytics.
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field.
- 6 to 10 years of experience in Data Science, Machine Learning, Advanced Analytics, or Artificial Intelligence.
- Strong experience in Wealth Management, Private Banking, Asset Management, or Retail Banking domains.
- Proven track record of delivering end-to-end analytical solutions in production environments.
Technical Skills
Data Science & Machine Learning
- Strong knowledge of:
- Supervised and Unsupervised Learning
- Classification and Regression Models
- Clustering Techniques
- Time Series Forecasting
- Recommendation Systems
- NLP and Generative AI (preferred)
Programming
- Proficiency in:
- Python
- SQL
- PySpark (preferred)
Machine Learning Frameworks
- Scikit-learn
- TensorFlow / Keras
- PyTorch
- XGBoost / LightGBM
Data & Cloud Technologies
- Hadoop/Spark ecosystem
- Databricks
- Azure/AWS/GCP (preferably Azure)
- Feature Stores and MLOps frameworks
Visualization Tools
- Power BI
- Tableau
- Advanced Data Storytelling techniques
Domain Expertise
Preferred experience in one or more of the following areas:
Wealth Management
- Portfolio Analytics
- Client Segmentation
- Investment Advisory Analytics
- Customer Lifetime Value
- Relationship Manager Effectiveness
- Asset Allocation Analytics
Retail Banking
- Customer Analytics
- Credit Risk Modeling
- Fraud Detection
- Customer Retention & Churn Analytics
- Personalization & Next Best Action Models
- Cross-Sell and Up-Sell Analytics
Desired Skills
- Experience with MLOps and model deployment pipelines.
- Exposure to Generative AI, Large Language Models (LLMs), and AI copilots.
- Strong problem-solving and analytical thinking skills.
- Excellent stakeholder management and communication abilities.
- Ability to work in a fast-paced, collaborative environment.
Why Join Us?
- Opportunity to work on large-scale data and AI initiatives.
- Exposure to cutting-edge Machine Learning and Generative AI technologies.
- Collaborate with global teams and business leaders in the Banking and Wealth Management domain.
- Drive strategic impact through data-driven innovation and advanced analytics.
Location: Pune / Bengaluru
Experience: 6-10 Years
Domain: Wealth Management / Retail Banking
Primary Skills: Data Science, Machine Learning, Advanced Analytics, Python, SQL, AI/ML, Banking Analytics, Databricks, Cloud Technologies.
