Chennai, Tamil Nadu, India
Information Technology
Full-Time
Fidelity Investments
Overview
Job Description
Job Title: Principal - Data Scientist
The Purpose of this Role
The Fidelity Center for Applied Technology (FCAT) is looking for a versatile individual with Dual Expertise in Data Science and Full Stack Software Engineering. The ideal candidate will have expertise in backend and frontend technologies, a solid foundation in data science, and experience with deep learning, Generative AI models, and machine learning frameworks. This role focuses on building end-to-end innovative, data-driven products and solutions that push the boundaries of finance.
The Value you Deliver
Key Responsibilities
The Skills and Expertise we are looking for
How Your Work Impacts the Organization
Qualifications
EGL- Bengaluru
Time: 11am - 8pm
Certifications
Category:
Data Analytics and Insights
Job Title: Principal - Data Scientist
The Purpose of this Role
The Fidelity Center for Applied Technology (FCAT) is looking for a versatile individual with Dual Expertise in Data Science and Full Stack Software Engineering. The ideal candidate will have expertise in backend and frontend technologies, a solid foundation in data science, and experience with deep learning, Generative AI models, and machine learning frameworks. This role focuses on building end-to-end innovative, data-driven products and solutions that push the boundaries of finance.
The Value you Deliver
Key Responsibilities
- Develop full-stack applications using backend (Python FastAPI, Node.js, databases) and frontend (React, Next.js) technologies.
- Design, prototype, and deploy AI/ML solutions, leveraging deep learning and Generative AI models.
- Apply data science fundamentals and machine learning frameworks to build data-driven features.
- Collaborate with cross-functional teams to create scalable products, with a focus on user experience and business impact.
- Stay up-to-date and tinker with emerging technologies, adapting quickly to new tools and trends.
The Skills and Expertise we are looking for
- Strong understanding of data science principles and processes, statistics, time series, NLP, traditional ML algos, deep learning algorithms.
- Hands on experience in entire data science project life cycle – EDA, data cleaning, Feature Engineering, Model Building and Validation, Operationalization and Scalability of scientific techniques, establishing decision strategies and designing experiments.
- Experience using deep learning (eg. pytorch, huggingface) and traditional machine learning (eg. scikit learn) frameworks.
- Experience with Generative AI models -LLMs (e.g., GPT, Lllama, DeepSeek, Stable Diffusion), RAGs, and cloud platforms (eg. AWS, GCP).
- Knowledge of prompt engineering techniques.
- Proficiency in programming languages (Python, SQL, HTML, CSS, Javascript) and foundations of computer science.
- Proficiency in backend development (FastAPI, Node.js, databases) and frontend technologies (React, Next.js).
- Product mindset with a focus on building user-centric solutions and delivering business value.
- Extremely strong logical thinking and ability to debug by going deep into the problem.
- Aptitude & curiosity to learn new cutting edge technologies and connect the dots to bring out new product ideas.
How Your Work Impacts the Organization
- Familiarity with fintech.
- Knowledge of DevOps practices and CI/CD pipelines.
Qualifications
- Bachelor’s degree in computer science, mathematics, statistics or related field. Master’s degree preferred.
- 10+ years of combined industry experience of Data Science and Software Engineering.
EGL- Bengaluru
Time: 11am - 8pm
Certifications
Category:
Data Analytics and Insights
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