Data Science Lead

Are you passionate about transforming data into intelligent business solutions? Do you enjoy leading Machine Learning initiatives from ideation to production while mentoring teams and driving innovation?

We're looking for a Data Science Lead to spearhead the development of advanced AI and Machine Learning solutions that deliver measurable business impact. This is an exciting opportunity to work on cutting-edge projects involving Machine Learning, Deep Learning, NLP, MLOps, Cognitive Services, and Cloud AI Platforms.

As a Data Science Lead, you will be responsible for leading end‑to‑end data science initiatives, building scalable AI solutions, and driving the adoption of advanced analytics across the organization.

You’ll collaborate with cross‑functional teams, guide technical strategy, and help bring innovative AI products from concept to production.

• Lead the design, development, and deployment of Machine Learning and Deep Learning solutions across multiple business domains.
• Build and scale AI‑powered applications, MVPs, and Proof of Concepts (POCs).
• Develop advanced NLP and Text Analytics solutions using modern frameworks and techniques.
• Design and implement robust ML pipelines and MLOps practices for repeatable, scalable model deployment.
• Work with Cognitive Services and AI offerings from cloud platforms such as AWS and Azure.
• Develop and optimize machine learning models using frameworks such as:
  • Scikit‑Learn
  • Tensor Flow
  • BERT
  • RNNs
  • LSTMs
• Establish model evaluation, monitoring, and governance frameworks to ensure production reliability.
• Collaborate with stakeholders to translate complex business problems into AI‑driven solutions.
• Stay ahead of industry trends and introduce emerging technologies, tools, and best practices.

• 6+ years of hands‑on experience delivering Data Science and Machine Learning projects
• Strong expertise in:
  • Natural Language Processing (NLP)
  • Text Analytics
• Hands‑on experience with:
  • Python
  • Scikit‑Learn
  • Tensor Flow
  • BERT
  • RNNs & LSTMs
• Strong knowledge of NLP frameworks such as:
  • Spa Cy
  • NLTK
• Experience with:
  • SQL & No
    
    SQL Databases
  • MLOps
• Proven ability to deploy and manage Machine Learning models in production environments
• Strong analytical, problem‑solving, and stakeholder management skills

• Experience with distributed computing frameworks and cloud‑native ML platforms
• Hands‑on experience with:
  • Databricks
• Exposure to:
  • Computer Vision
  • Generative AI
  • Advanced Deep Learning Architectures
• AI, Machine Learning, or Data Science certifications
• Bachelor's Degree in Computer Science, Information Technology, Data Science, or a related field
• Master's Degree preferred

• Lead impactful AI and Data Science initiatives
• Work on enterprise‑scale Machine Learning and NLP projects
• Collaborate with talented Data Scientists, Engineers, Architects, and Business Leaders
• Influence technical strategy and innovation roadmap
• Continuous learning and exposure to emerging AI technologies
• Opportunity to build solutions that create measurable business value

Ready to lead the next wave of AI innovation? If you’re excited about Machine Learning, Deep Learning, NLP, MLOps, and solving complex business challenges through data, we’d love to hear from you.