Senior Engineering Manager, Data Science

You will be responsible for combining your advanced data science skills with leadership abilities to guide the Data team in solving complex business problems and building data-driven solutions for our enterprise customers. You will partner with leadership on long-term planning and development of the team at large.

What you’ll do:

• Own the overarching Data Science strategy and technical roadmap for Truecaller for Business (TfB). Translate business vision into executable data initiatives, define core KPIs, and drive continuous delivery via agile sprint cycles.
• Lead the hands-on architecture, scaling, and production deployment of ML models to drive core business outcomes.
• Serve as the strategic liaison between Data Science, Product, Platform Engineering, and Leadership to shape product scope, features, and risk policies.
• Direct, mentor, and grow a team of Data Scientists and Analysts—fostering an inclusive, high-trust culture with clear career paths.
• Take full accountability for model accuracy, system uptime, and measurable business impact across all products owned by your team.
• Drive standards for model governance, automated monitoring, unit testing, data privacy compliance, and modern ML/data stack adoption

What you bring in:

• Bachelor’s or Master’s degree in Data Science, Machine Learning, Computer Science, Statistics, Mathematics, or a related quantitative field.
• 12+ years of total experience in Data Science/Machine Learning, with at least 2 years in engineering management capacity.
• Mastery of Python, SQL, and the modern ML ecosystem (scikit-learn, TensorFlow/PyTorch, pandas).
• Deep experience querying very large datasets efficiently (BigQuery, Spark, or similar cloud infrastructure).
• Prior experience working with high-volume data, real-time fraud mitigation, network intelligence, or B2B business analytics is highly desirable.
• Solid understanding of MLOps pipelines, containerization (Docker/Kubernetes), and the engineering overhead required to scale real-time predictive models.
• Outstanding communication skills. You must possess the unique ability to explain complex statistical models to non-technical business partners and distill business needs into rigid technical constraints.

It would be great if you also have:

• Prior experience in building Dial/Number intelligence, Risk scoring, telecommunications data, fraud mitigation, or pattern recognition systems.

What we offer:

We support growth through learning resources, leadership programs, mentoring, and real hands-on work. People can move between teams and projects to build new skills and keep things interesting. We offer clear internal mobility and a transparent path for progression, with leaders who stay involved and provide guidance throughout the year. In addition, you will benefit from:

• A comprehensive compensation package: Learning and development allowance, voluntary provident fund (VPF) and/or national pension scheme (NPS) tax saving option provided, creche allowance
• Modern tools to do your best work: Choose your preferred computer and phone within our budget, so you can work comfortably and efficiently.
• A people-focused office culture: We value in-person collaboration and follow an office-first model, with some flexibility. Our offices offer a vibrant environment with opportunities to learn, connect, and recharge, from breakfast, lunch and quiet spaces to team activities such as movie nights, tech meetups, and cultural events. There's something for everyone.
• Truecaller’s “Lab Days” offer a space for imagination: 5 days each quarter, where everyone steps away from their normal tasks to explore new, bold ideas and build things they’ve always wanted to. It’s a space where curiosity leads the way, and prototypes take shape. Some concepts even make it into production, and a few have grown into real features used by millions today. Lab Days allow you to be creative, learn fast, and help shape Truecaller's future.

Come as you are:
Truecaller is committed to building a diverse and inclusive team. We believe that a wide range of backgrounds, perspectives, and experiences strengthens our products and our culture. No matter where you're from, what language you speak, or how you identify, we value what makes you unique and would love to get to know you.

Sounds like a great opportunity?

We will fill the position as soon as we find the right candidate, so please send your application as soon as possible. As part of the recruitment process, we will conduct a background check.

We only accept applications in English.