Data Science Engineer (NLP)

The Data Science Engineer will develop and implement models using Deep Learning, Python, and SQL with expertise in Natural Language Processing and Machine Learning. Strong emphasis is placed on model validation, thorough testing, and proactive issue resolution to ensure reliable, high-quality outputs across the organization. The role provides exposure to enterprise-scale data ecosystems, offering opportunities for professional growth while working alongside experienced data scientists and cross-functional technology teams. This position also offers exposure to enterprise-wide analytics transformation programs and the chance to influence strategic decision-making at a senior level. The team fosters an inclusive, growth-oriented culture where continuous learning and knowledge sharing are actively encouraged across all levels.

5-10 years of experience in Data Science with expertise in Natural Language Processing and Machine Learning. Strong skills in Deep Learning, Python, and SQL. Any Graduate qualification. Prior experience mentoring junior team members and contributing to internal knowledge repositories will also be viewed favorably. Excellent verbal and written communication skills are essential, along with the ability to explain complex technical concepts clearly to both technical and non-technical stakeholders. Candidates should demonstrate strong analytical thinking, attention to detail, and the ability to manage multiple priorities in a fast-paced, deadline-driven environment.