Job summary
Job post source
This job is directly from Tata Consultancy Services
Job overview
The Data Scientist role at Tata Consultancy Services involves leading AI/ML solution design and implementation in the BFSI sector to drive innovation and competitive advantage.
Responsibilities and impact
The role includes architecting scalable ML/AI solutions, leading data science teams through project lifecycles, defining best practices, collaborating with cross-functional teams, overseeing model integration, and promoting innovation in AI techniques.
Compensation and benefits
The salary range is $155,000 to $180,000 per year; no additional benefits are specified.
Experience and skills
Candidates must have proficiency in Python, ML frameworks like TensorFlow and PyTorch, strong BFSI domain knowledge, experience with NLP, LLMs, MLOps, graph analytics, cloud platforms (AWS, GCP, Azure), and leadership experience in data science.
Unique job features
The job features involvement with cutting-edge AI technologies including generative AI, reinforcement learning, graph-based learning, and leadership of Centers of Excellence or data science accelerators.
Company overview
Tata Consultancy Services (TCS) is a global leader in IT services, consulting, and business solutions. They generate revenue through a diverse portfolio, including software development, infrastructure services, and business process outsourcing. Founded in 1968, TCS is a subsidiary of the Tata Group, one of India's largest and oldest conglomerates. The company is known for its innovation, robust delivery model, and extensive global presence, serving clients across various industries.
How to land this job
Position your resume to highlight your expertise in Python, TensorFlow, PyTorch, HuggingFace, and your proficiency with MLOps pipelines, emphasizing hands-on experience with cloud platforms like AWS, GCP, or Azure to align with Tata Consultancy Services' Data Science Architect role.
Emphasize your strong BFSI domain knowledge, experience in NLP, LLMs (GPT), deep learning, graph analytics tools like Neo4j or TigerGraph, and leadership in end-to-end AI/ML solution design and deployment to showcase your alignment with the job description.
Apply through multiple channels including Tata Consultancy Services' official corporate career site, LinkedIn, and specialized job boards to maximize your application visibility.
Connect with current Data Science or AI/ML professionals at Tata Consultancy Services on LinkedIn; use ice breakers such as commenting on recent AI projects they've shared or asking about their experience working on BFSI-focused AI initiatives to start meaningful conversations.
Optimize your resume for ATS by incorporating keywords from the job description like 'Data Science Architect,' 'MLOps,' 'cloud-native architectures,' 'BFSI domain,' 'NLP,' 'graph analytics,' and specific tools such as 'Python,' 'TensorFlow,' and 'Neo4j' to ensure your resume passes initial automated screenings.
Use Jennie Johnson's Power Apply feature to automate tailored resume customization, multi-channel application submissions, and LinkedIn networking outreach, allowing you to focus more effectively on preparing for interviews and skill enhancement.
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