Senior Engineering Manager, Data Science

Events by L; Bengaluru; On-site; INR 3,500,000 - 7,000,000; Full time

Benefits offered by this job

Learning & development allowance

Budget for hardware & devices

Office-first culture with flexibility

Lab Days—quarterly innovation sessions

Job summary

Truecaller for Business is seeking a Senior Engineering Manager – Data Science to lead a high‑performing data team focused on intelligence, safety, and operational clarity for the enterprise ecosystem.

You will guide data scientists and analysts, shape risk policies, and ensure data‑driven solutions scale across products, partnering with leadership for long‑term planning.

Qualifications

• Bachelor's or Master's in Data Science, ML, CS, Statistics or related quantitative field.
• 12+ years total experience in Data Science/ML with at least 2 years in engineering management.
• Mastery of Python, SQL, and modern ML ecosystem (scikit-learn, TensorFlow/PyTorch, pandas).
• Deep experience querying very large datasets efficiently (BigQuery, Spark).
• Prior experience with high-volume data, real-time fraud mitigation, or B2B analytics is desirable.
• Solid understanding of MLOps pipelines, containerization (Docker/Kubernetes), and scaling real-time models.
• Outstanding communication skills to explain complex models to non-technical partners.

Responsibilities

• Own the Data Science strategy and technology roadmap for TfB.
• Lead architecture, scaling, and deployment of ML models for business outcomes.
• Collaborate with Data, Product, Platform Eng, and Leadership to shape scope and risk policies.
• Direct, mentor, and grow a team of Data Scientists and Analysts.
• Ensure model accuracy, uptime, and measurable business impact across products.
• Drive governance, monitoring, and data privacy compliance in ML/data stack adoption.

Skills

Data science leadership

Python

SQL

ML/AI modeling

BigQuery

Spark

MLOps

Docker/Kubernetes

Communication

Strategic planning

Education

Bachelor's or Master's in DS/CS/Statistics

Tools

Python ecosystems (scikit-learn, pandas)

TensorFlow/PyTorch

BigQuery

Spark

Docker

Kubernetes

Job description

Join Truecaller – The place where innovation meets impact!

Truecaller's mission is to build trust in communication by making it safer, smarter, and more efficient. Born in Sweden, trusted by the world, and here's why we stand out:

• We are trusted by over 500 million active users every month across 190+ countries
• We identify over 15 billion calls daily, helping users avoid spam and scams
• We are powered by a team of 450+ employees from 45+ nationalities

We always look for people who take initiative, own their work, and keep raising the bar. An entrepreneurial mindset matters here, especially when it turns bold ideas into real actions. We stay collaborative and focused, always searching for smarter paths forward. If you want to make an impact and grow with a team that inspires millions, you'll fit right in.

The role:

As a Senior Engineering Manager – Data Science for Truecaller for Business (TfB), you will lead a high-performing team of Data Scientists and Data Analysts driving intelligence, safety, and operational clarity for our enterprise ecosystem. You will sit at the intersection of technical excellence, risk monitoring, and strategic product execution—architecting intelligence engines, shaping risk-mitigation roadmaps, and mentoring top-tier talent.

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.

As part of the recruitment process, we will conduct a background check.

We only accept applications in English.