Data Scientist Client Technology

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Join us and build an exceptional experience for yourself, and a better working world for all.
Nitro: Data Scientist.
The selected candidate.
Provides technical leadership in the development and deployment of generative AI solutions, including large language models (LLMs), ensuring alignment with business objectives and industry best practices.
Architects and oversees the design of scalable data and machine learning pipelines, ensuring robust, efficient, and secure integration of AI models into production environments.
Leads cross-functional teams of data scientists, engineers, and product managers, driving project timelines, resource allocation, and delivering impactful AI-driven products and solutions.
Champions innovation by staying ahead of the latest advancements in AI, guiding the strategic direction of AI initiatives, and mentoring team members to elevate the organizations data science capabilities.
Your Key Responsibilities Include.
Managing the delivery of data science insights using a range of tools and methods to create cognitive services involving complex algorithms, machine learning and artificial intelligence methods.
Developing new sophisticated algorithms and improving existing machine learning techniques.
Demonstrating ability to make business recommendations based on the data that drive better business decisions.
Collaborating with relevant business areas to identify new projects and opportunities, understanding their requirements, setting success criteria and ensuring delivery.
Possibly leading medium sized projects or training / mentoring junior team member.
Skills And Attributes For Success.
12+ yearsexperience in machine learning, data mining, predictive modeling, statistical modeling, large scale data acquisition, transformation, and cleaning, both structured and unstructured data.
Proficiency with data wrangling, visualization, and modeling in Python.
Experience in ML/NLP algorithms, including supervised and unsupervised learning.
In-depth knowledge of deep learning methods, including recurrent neural networks, long short-term memory (LSTM) networks, recursive neural networks, autoencoders etc Experience in machine learning frameworks and tools (e g, sci-kit-learn, Keras, TensorFlow, MXNet, PyTorch, MLlib).
Experience with Hugging Face Transformers and other open-source NLP/NLG modules.
Experience with generative LLM fine-tuning and prompt engineering.
Strong programming skills in Python.
Knowledge of containerization platforms like Docker is a plus.
Bonus if you have experience with Git and modern software development workflow.
Non-Technical Skills: Proven track record of leading and collaborating on strategic initiatives for at least the last 2-3 years.
Strong team and business communication skills can walk through and approach with technical clients or explain tricky concepts to non-technical people.
Ability to collaborate with people at all levels and with multi-office or regional teams.
Must thrive in a fast-paced environment and be able to work independently.
Strategic consulting experience is a plus.
Excellent in communication skills.
Education.
Bachelor/Master/PG/Ph.
D in Artificial Intelligence, Analytics, Data Science, Computer Science, Engineering, Information Technology, Social Sciences or related fields preferred.
What We Look For.
Strong analytical skills and problem-solving ability.
A self-starter, independent-thinker, curious and creative person with ambition and passion.
Expert in Python programming with experience in developing and deploying web apps.
Excellent inter-personal, communication, collaboration, and presentation skills.
Customer focused.
Excellent time management skills.
Positive and constructive minded.
Takes responsibility for continuous self-learning.
Takes the lead and makes decisions in critical times and tough circumstances.
Attention to detail.
High levels of integrity and honesty.
EY | Building a better working world.
EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
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