PwC Acceleration Centers : Data Scientist – Senior Associate
Job Title: Data Scientist – Senior Associate
Company Name: PwC Acceleration Centers in India
Location: Bengaluru, Karnataka, India
Work Type: On-site (Full-time)
Job Type: Mid-Senior level
Day To Day Responsibility:
As a Data Scientist – Senior Associate, your daily responsibilities include:
> Designing and developing solutions related to machine learning, natural language processing, deep learning, and Generative AI to address business needs.
> Utilizing the latest AI technologies to creatively and analytically solve challenges.
> Expanding your personal skill set and staying updated on the latest AI trends, tools, methodologies, and techniques.
Skills And Experience:
Must-Have:
> Ideally, 4 to 6 years of relevant experience.
> Bachelor’s Degree in Computer Science, Engineering, or other technical discipline (BE, BTech, MCA).
> Proficiency in programming languages like Python, Java, Scala, R, SQL, etc.
> Solid work exposure to Generative AI-based projects, including designing solutions based on the Langchain framework and efficient prompt design for LLMs (Large Language Models).
> Experience in pre-training and fine-tuning Large Language Models (LLMs) on HuggingFace models and other LLMs.
> Experience with the Azure cloud platform.
> Experience in machine learning, natural language processing, and deep learning.
> Familiarity with deep learning architectures for text analysis, computer vision, and signal processing.
> Understanding of operationalizing data science models.
> Experience with data science packages such as Spark, Pandas, SciPy, and NumPy.
> Leading, training, and working with other data scientists.
Good to Have:
> Experience in statistical modeling, algorithms, data mining, and machine learning problem-solving.
> Experience with programming models for production use.
> Knowledge of technologies such as H20.ai, Google Machine Learning, and Deep Learning.
> Experience in developing end-to-end deep learning solutions for structured and unstructured data problems.
> Familiarity with cloud computing platforms like Azure, AWS, and GCP.
> Data visualization and communication skills using tools like HTML, JavaScript, D3, Tableau, and PowerBI.
Preferred Certifications (At Least Two Certifications Are Preferred):
> Data Science Certifications in Machine Learning, Deep Learning, and Natural Language Processing.
> Certified Professional in Python Programming Level 1 or 2.