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Data Science

Associate – Platform Data Science

Scale

Data Science 

Generative AI Tools

scikit-learn

LangChain

Huggingface

RESTful API design

GraphQL

Data Wrangling

R programming

PYTHON

NoSQL

Mlops

docker

Kubernetes

Agile Methodologies

MS Office Suite

Bain & Company

What you’ll do&nbsp; <ul><li>This is an opportunity to be a part of BCN Data business expanding science capability area.&nbsp;This position will be part of the PIT (PEG Innovation Team)</li></ul><ol><li class="ql-indent-1">Product Support: The team will primarily support the Beta production of AI applications for PEG (Private Equity Group) as part of Bain’s DD2030 (Due Diligence 2030) initiative.</li><li class="ql-indent-1">Generative AI Focus: A significant portion of the work is expected to relate to Generative AI applications, pushing the boundaries of innovation in the private equity space.</li><li class="ql-indent-1">Broader Automation: The role may also include contributing to broader PIT automation initiatives aimed at streamlining processes and enhancing efficiency across various investment lifecycle stages.&nbsp;</li></ol><ul><li>The person in this role will need to:</li></ul><ol><li class="ql-indent-1">Translate business objectives into data and analytics solutions and, translate results into business insights using appropriate data engineering, analytics, visualization &amp; Gen AI applications</li><li class="ql-indent-1">Leverage Gen AI skills to design and create repeatable analytical solutions to improve data quality</li><li class="ql-indent-1">Design, build, and deploy machine learning models using Scikit-Learn for various predictive analytics tasks.</li><li class="ql-indent-1">Implement and fine-tune NLP models with Hugging Face to address complex language processing challenges</li><li class="ql-indent-1">Collaborate with engineering team members on design requirements to turn PoC methods into repeatable data pipelines; work with Practice team to develop repeatable and scalable products</li><li class="ql-indent-1">Assist with creation and documentation of standard operating procedures for repeated data processes, as well as knowledge base of data methods</li><li class="ql-indent-1">Keep abreast of new developments in AI/ML technologies and best practices in data science, particularly in LLMs and generative AI.</li></ol> About you <ul><li>A Bachelor’s or Master’s degree in in Computer Science,&nbsp;Artificial Intelligence, Applied Mathematics, Econometrics, Statistics, Physics, Market Research, or related field is preferred</li><li>3-5 years of experience with data science &amp; data engineering with Hands-on experience with AI/GenAI tools such as Scikit-Learn, LangChain, and Hugging Face</li><li>Experience designing and developing RESTful and GraphQL APIs to facilitate data access and integration.</li><li>Proficiency with data wrangling in either R or Python is required</li><li>Proficiency in SQL is required, and familiarity with NoSQL data stores is a plus</li><li>Familiarity with MLOps practices for model lifecycle management</li><li>Experience with Git and modern software development workflow&nbsp;is a plus</li><li>Experience with containerization such as Docker/&nbsp;Kubernetes is a plus</li><li>Agile way of working and tools (Jira, Confluence, Miro)</li><li>Strong interpersonal and communication skills are a must.</li><li>Experience with Microsoft Office suite (Word, Excel, PowerPoint, Teams) is preferred</li><li>Ability to explain and discuss Gen AI and Data Engineering technicalities to a business audience.</li></ul>

Associate – Platform Data Science

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