Data Scientist

2 weeks ago


Mumbai, Maharashtra, India Lifelancer Full time
About Fundamental Fixed Income Team

BlackRock's active fixed income portfolio strategies span a range of investment styles and segments of the fixed income universe, putting us in a strong position to deliver attractive returns in various market environments.

We use a top-down view from lead portfolio managers and bottom-up expertise from sector specialists to generate alpha and manage risk.

Responsibilities
  • Implement advanced natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face, and leverage vector databases.
  • Create well-maintainable and tested codebases with relevant documentation, adhering to foundational programming principles.
  • Design prototypes for individual components of software or data science solutions and apply basic data structures and algorithms.
  • Collaborate with peers within PMG and iHub India (MASS Labs, RQA Labs, AI Labs) to research use cases in development within Firm-wide initiatives.
Education And Qualifications/Skills
  • A bachelor's degree in computer science, mathematics, statistics, or a related field, and 4-6 years of relevant experience.
  • Motivated team players who can work independently and flexibly, with strong analytical thinking skills.
  • Technical skills in Python, including experience with machine learning libraries and frameworks like TensorFlow, PyTorch, or Keras.
  • Knowledge of at least one domain: generative AI, statistical learning, optimization, NLP, deep learning, or time series analysis.
  • Passion for solving real-world problems using data science and ML approaches.
  • Data exploration and analysis skills, with the ability to implement algorithmic solutions in applied ML.
Our Benefits

We offer a range of benefits, including a comprehensive retirement plan, tuition reimbursement, and healthcare support.

Lifelancer's hybrid work model allows employees to balance flexibility and collaboration, supporting employee well-being and performance.

As a Data Scientist on our team, you'll have access to a network of talented professionals and opportunities for growth and development.


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