Data Scientist (Cybersecurity)

The Data Scientist will develop and implement AI-driven solutions to enhance cybersecurity measures within the organization. The role involves leveraging data science techniques to analyze security data, detect threats, and automate security processes. Responsibilities include developing analytics to address business or engineering problems, collaborating with Data Engineers to translate ML algorithms into effective solutions, performing exploratory and targeted data analyses, designing and implementing analytics pipelines leveraging MLOps practices, and contributing to data engineering efforts. The team fosters an inclusive, growth-oriented culture where continuous learning and knowledge sharing are actively encouraged across all levels. The role offers the opportunity to work within a collaborative, cross-functional team environment, contributing to end-to-end project delivery and continuous process improvement initiatives.

Masters with 1-3 years or Bachelors with 3-5 years or Diploma with 7-9 years of experience in analytic software tools. Proficiency in Python and ML libraries. Experience with Databricks, MLOps, and cloud platforms. Knowledge of Generative AI models and cybersecurity. Any Graduate or Any Postgraduate. A collaborative mindset, willingness to mentor junior team members, and adaptability to changing business needs are highly valued for this role. Prior experience working in global delivery models, along with exposure to Agile methodologies, will be considered an added advantage.