Senior Manager: Data Science

Overview:

We're seeking a highly experienced Senior Manager: Data Science to lead and scale a high-performing team of data scientists and ML engineers. In this role, you will define and execute the data science roadmap, oversee the end-to-end model lifecycle, and ensure that AI/ML solutions translate into measurable business outcomes. You will play a key role in embedding machine learning and advanced analytics into products, risk frameworks, and operational channels while championing model governance, explainability, and ethical AI practices.

At TeKnowledge, your work makes an impact from day one. We partner with organizations to deliver AI-First Expert Technology Services that

drive meaningful impact in AI, Customer Experience, and Cybersecurity. We turn complexity into clarity and potential into progress—in a place where people lead and tech empowers.

You’ll be part of a diverse and inclusive team where trust, teamwork, and shared success fuel everything we do. We push boundaries, using advanced technologies to solve complex challenges for clients around the world.

Here, your work drives real change, and your ideas help shape the future of technology. We invest in you with top-tier training, mentorship, and career development—ensuring you stay ahead in an ever-evolving world.

Why You’ll Enjoy It Here:
• Be Part of Something Big – A growing company where your contributions matter.
• Make an Immediate Impact – Support groundbreaking technologies with real-world results.
• Work on Cutting-Edge Tech – AI, cybersecurity, and next-gen digital solutions.
• Thrive in an Inclusive Team – A culture built on trust, collaboration, and respect.
• We Care – Integrity, empathy, and purpose guide every decision.

We’re looking for innovators, problem-solvers, and experts ready to drive change and grow with us.

We Are TeKnowledge. Where People Lead and Tech Empowers.

Responsibilities:
• Lead and scale a high-performing team of data scientists and ML engineers.
• Define and execute the data science roadmap aligned to business priorities and monetisation opportunities.
• Oversee the end-to-end model lifecycle—from ideation, exploration, development, validation, to monitoring.
• Partner with Product, Risk, and Engineering teams to integrate models into digital and operational channels.
• Establish standards for model governance, explainability, and ethical AI practices.
• Drive innovation by exploring emerging techniques in generative AI, reinforcement learning, and real-time scoring.

Qualifications:

Education:
• Bachelor’s Degree in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative field.
• Master’s or PhD in Machine Learning, Applied Mathematics, Econometrics, or AI (strongly preferred).

Experience:
• 8–12 years of experience in data science, machine learning, or advanced analytics roles.
• Minimum of 3 years in a leadership or managerial capacity.
• Proven track record of delivering AI/ML models in production environments—preferably in Fintech, Banking, or Telecoms.
• Experience translating complex data science solutions into measurable business outcomes (e.g., credit scoring, fraud detection, churn prediction).
• Exposure to cloud-based ML platforms such as AWS SageMaker, Azure ML, or GCP Vertex AI.

Preferred Certifications:
• TensorFlow, AWS ML Speciality, or Microsoft AI Fundamentals.