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Job Description

Note : If screened-in, you will be invited for initial rounds on 10th October 2026 (Saturday) in Bangalore.


Job Summary :


The Team Lead Data Intelligence will be a key member of the Category Management Operations, responsible for leading and driving advanced analytics, machine learning, and data science initiatives supporting LKQ's Europe's CATMAN strategic priorities.

This role will combine hands-on technical expertise with team leadership, guiding a team of data scientists and analysts to deliver high-quality, scalable solutions.

Essential Job Duties :

Leadership & Team Management :

- Lead, mentor, and develop a team of data scientists and analysts

- Set clear goals, performance expectations, and career development plans

- Drive a high-performance, collaborative, and innovation-focused team culture

- Ensure adherence to best practices in data science, coding standards, and documentation

Data Science & Advanced Analytics :

- Design and deploy advanced machine learning models (regression, classification, clustering, time-series, NLP)

- Own end-to-end lifecycle of data science projects

- Drive adoption of AI/ML across key business use cases

Business Impact & Strategy :

- Partner with stakeholders to translate business problems into analytical solutions

- Drive strategic initiatives such as demand forecasting, replacement rate modeling, and anomaly detection

Basic Qualifications :

Masters degree in data science, Computer Science, Business Analytics, Statistics, or related field (MBA with strong analytics focus also acceptable)

Experience :

6 - 10 years of experience in data science roles, 2+ years of experience in leading or mentoring teams.

Knowledge/Skills/Abilities :

- Advanced SQL skills including complex query design, performance tuning, and stored procedure development

- Strong programming skills in Python / R; Experience with ML libraries : scikit-learn, TensorFlow, PyTorch

- Expertise in : Time-series analysis, Forecasting models, Anomaly detection, NLP

- Experience with Power BI / Tableau / Qlik

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