Data Scientist - AI

GEP is a diverse, creative team of people passionate about procurement. We invest ourselves entirely in our client’s success, creating strong collaborative relationships that deliver extraordinary value year after year. Our clients include market global leaders with far-flung international operations, Fortune 500 and Global 2000 enterprises, leading government and public institutions. 

We deliver practical, effective services and software that enable procurement leaders to maximise their impact on business operations, strategy and financial performance. That’s just some of the things that we do in our quest to build a beautiful company, enjoy the journey and make a difference. GEP is a place where individuality is prized, and talent respected. We’re focused on what is real and effective. GEP is where good ideas and great people are recognized, results matter, and ability and hard work drive achievements. We’re a learning organization, actively looking for people to help shape, grow and continually improve us.

Are you one of us?

GEP is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, ethnicity, color, national origin, religion, sex, disability status, or any other characteristics protected by law. We are committed to hiring and valuing a global diverse work team.

For more information please visit us on GEP.com or check us out on LinkedIn.com.

• Exceptional candidates will also show strong curiosity, going beyond the immediate business/ functional requirements to understand the fundamental drivers of success and create a business impact for the end user.
• The candidate will be involved in all aspects of AI lifecycle, from helping to create relevant products and solutions by working with product managers, to leading and executing AI work in an agile way, Testing and Deployment.
• Strong candidates will be involved in designing and building new AI capabilities on Computer Vision, NLP, Forecasting & Optimizations, Cognitive Computing, and Traditional ML areas.
• He/she will need to interact with client counterparts day- to-day to ensure expectations are aligned and that in-progress analysis and findings are tested.

Bachelors/Masters/PhD degree in Computer Science, Computer Engineering, Applied Mathematics, Operations research or related technical discipline with 1+ years of industry experience in Data Science. ​ • Experience working with supervised/unsupervised learning ML models such as support vector machines (SVM), neural networks, Bayesian models, CNN, RNN, computer vision techniques, reinforcement learning etc. The ideal candidate will have a wide coverage of the different methods/models, and an in-depth knowledge of some. • Experience in solutions built using Gen AI Technologies, Agentic Workflow • Demonstrated experience in natural language understanding. ​ • Strong coding experience in Python, R and Apache Spark. Python Skills are mandatory. ​ • Experience in LangChain, LangGraph, Vector Databases, Microsoft Autogen • Experience with NoSQL databases, such as MongoDB, Cassandra, HBase etc. Proven ability of working on open-source frameworks such as Keras, TensorFlow, Spark ML, H20 etc. ​Experience of working on Microsoft Azure is a plus although not mandatory. ​ • Proven experience writing production-grade software ​ • Extensive experience in model development and life-cyclemanagement in one or more industries. Knowledge of Generative AI and LLM implementation.