About Capco
Capco, a Wipro company, is a global technology and management consultancy specializing in driving digital transformation in the financial services industry. With a growing client portfolio comprising of over 100 global organizations, Capco operates at the intersection of business and technology by combining innovative thinking with unrivalled industry knowledge to deliver end-to-end data-driven solutions and fast-track digital initiatives for banking and payments, capital markets, wealth and asset management, insurance, and the energy sector. Capco’s cutting-edge ingenuity is brought to life through its Innovation Labs and award-winning Be Yourself At Work culture and diverse talent.
Key Responsibilities:
- Develop and implement machine learning models to solve complex business problems.
- Work with large language models (LLMs) to enhance natural language processing (NLP) capabilities.
- Design and develop retrieval-augmented generation (RAG) systems to improve information retrieval and synthesis.
- Collaborate with cross-functional teams to identify AI use cases and define project requirements.
- Analyze large datasets to extract actionable insights and inform decision-making.
- Monitor and evaluate the performance of AI models, providing feedback for continuous improvement.
- Stay up-to-date with the latest developments in AI and machine learning.
Qualifications:
- Bachelor's degree in Computer Science, Data Science, Statistics, or a related field. Master's or PhD preferred.
- Demonstrated experience in a Data Scientist or comparable role.
- Comprehensive knowledge of machine learning algorithms, techniques, and their practical implementation.
- Expertise in working with large language models (LLMs) such as GPT-3, GPT-4, or similar.
- Experience in developing retrieval-augmented generation (RAG) systems.
- Proficiency in programming languages such as Python, R, and SQL.
- Excellent analytical and problem-solving skills.
- Outstanding communication and collaborative skills to thrive in team-oriented environments.
Preferred Skills:
- Knowledge of natural language processing (NLP) techniques and associated tools.
- Familiarity with AI tools and platforms (e.g., LangChain, TensorFlow, PyTorch, Azure AI).
- Experience utilizing data visualization tools (e.g., Tableau, Power BI).
- Working knowledge of data privacy, security standards, and best practices.
- Background in the banking sector or familiarity with financial products and services.
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What We Do
Capco, a Wipro company, is a global management and technology consultancy specializing in driving transformation in the energy and financial services industries. Capco operates at the intersection of
business and technology by combining innovative thinking with unrivalled industry knowledge to fast-track digital initiatives for banking and payments, capital markets, wealth and asset management, insurance,
and the energy sector. Capco’s cutting edge ingenuity is brought to life through its award-winning Be Yourself At Work culture and diverse talent.
TRUSTED ADVISORS - Our collaborative and entrepreneurial approach position us as trusted long-term partners to our clients.
DEEP EXPERTISE - Clients look to us for clear guidance, proven expertise, and the support they need to set their companies up for success.
DISRUPTIVE SOLUTIONS- We do not provide off -the-shelf answers to clients’ challenges. Instead, we work in close collaboration to understand the issues, and craft disruptive, bespoke solutions.
ACCOUNTABILITY AND OWNERSHIP - We recognize every client has distinct needs and expectations, and we take ownership and accountability for the solutions we design, build, and deliver.
Why Work With Us
We support and encourage an inclusive culture, entrepreneurial outlook and independent thinking. Capco is not about organizational charts and rigid hierarchies – we want all employees to feel that Capco is their firm to own and run. We believe diversity powers innovation. Be Yourself At Work (#BYAW) is an integral and underlying part of our culture
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Capco Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.