Python with Django - Python with Django L3 (5.1-7 years)
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What you'll do
- You help us make better use of our data through collection, labeling, curation, structuring, and feature engineering to improve our models.
- You apply a range of analytical methods to answer business questions and improve our assets and models.
- You support the deployment of AI applications to production using a comprehensive tool stack (CI/CD pipeline, AirFlow, MlFlow, …) and help establish effective model monitoring, including tracking historical input and target data to detect drift.
- You help automate the modeling pipeline.
- Promote new technologies & best practices in testing
- Continuously strive for further automation & improvement by presenting new proposals
- Analysis of the requirements regarding automation
What they're looking for
- You hold at least a Master’s degree in a quantitative field such as statistics, computer science, or engineering, ideally with a focus on natural language processing.
- You have at least 3 years of experience in data science, preferably in the financial sector.
- You have strong hands-on experience with SQL, Pandas, Hadoop/Spark, and web scraping to prepare, structure, and make data usable for data science.
- You apply a broad range of analytical methods in both classical machine learning and generative AI, and you are familiar with a data-centric approach to building and improving AI solutions by combining code and data.
- You have extensive experience in programming with Python and contribute to deploying AI applications in production using a comprehensive stack of tools
Nice to have
- A PhD is a plus.
- Candidates with less experience may still be considered if they have strong academic credentials.
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
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
WHY JOIN CAPCO?
You will work on engaging projects with some of the largest banks in the world, on projects that will transform the financial services industry. We offer: • A work culture focused on innovation and creating lasting value for our clients and employees • Ongoing learning opportunities to help you acquire new skills or deepen existing expertise • A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients • A diverse, inclusive, meritocratic culture
We offer:
- A work culture focused on innovation and creating lasting value for our clients and employees
- Ongoing learning opportunities to help you acquire new skills or deepen existing expertise
- A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients
Python with Djan | 5–7 Years | Chennai
Position Purpose:
ct Responsibilities
- You help us make better use of our data through collection, labeling, curation, structuring, and feature engineering to improve our models.
- You apply a range of analytical methods to answer business questions and improve our assets and models.
- You support the deployment of AI applications to production using a comprehensive tool stack (CI/CD pipeline, AirFlow, MlFlow, …) and help establish effective model monitoring, including tracking historical input and target data to detect drift.
- You help automate the modeling pipeline.
.
Contributing Responsibilities
- Promote new technologies & best practices in testing
- Continuously strive for further automation & improvement by presenting new proposals
- Analysis of the requirements regarding automation
Technical & Behavioral Competencies
Must-have:
Education: You hold at least a Master’s degree in a quantitative field such as statistics, computer science, or engineering, ideally with a focus on natural language processing. A PhD is a plus. Candidates from other academic backgrounds with strong analytical skills are also welcome.
- Work Experience: You have at least 3 years of experience in data science, preferably in the financial sector. Candidates with less experience may still be considered if they have strong academic credentials.
- Data Management: You have strong hands-on experience with SQL, Pandas, Hadoop/Spark, and web scraping to prepare, structure, and make data usable for data science.
- Data Science: You apply a broad range of analytical methods in both classical machine learning and generative AI, and you are familiar with a data-centric approach to building and improving AI solutions by combining code and data.
- Programming language: You have extensive experience in programming with Python and contribute to deploying AI applications in production using a comprehensive stack of tools
Specific Qualifications:
- Soft Skills :
- Communication: You are fluent in English and communicate effectively with business stakeholders and the lead data scientist to clarify goals and assumptions.
- Teamwork: You work effectively in an Agile Scrum team and communicate well in a dynamic, multicultural environment.
- You are curious, analytical, energetic, customers oriented, and resilient under pressure.
Behavioral Skills:
- Agile and Scrum experience
- Business experience
Education Level: Bachelor Degree, PG or equivalent
Location: Chennai
Company
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