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Salary
≈ $32k – $84k per year (Estimated)
Location
Hybrid (Bengaluru, India)
Seniority
Staff · 8+ years exp

First seen by Alion on Sep 16, 2026.

Overview
Company
Impact
Profile match
LKQ Corporation is a distributor of alternative and specialty vehicle parts, including aftermarket, recycled and remanufactured parts, in North America and Europe. Its Bengaluru centre supports LKQ Europe with data analysts and business intelligence teams. The company is headquartered in Chicago, Illinois, United States.

Job Role/Title: Team Lead - Data Intelligence

Experience Range: 8 - 12 years

Location : Bangalore

Shift: 12:30PM to 9:30PM (Europe Shift)


Work Mode: 4 days work from office & 1 Day work from home


Experience/Skills :


- 8-12 years of experience in data science roles, 2+ years of experience in leading team of 10 members or more


- Candidates must have 2-3 years of people management/team handling experience. Minimum 10 to 15 members.


- Strong communication skills are mandatory.


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


- Exposure in cloud-based solutions and Machine Learning


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


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


- Experience with Power BI / Tableau / Qlik; Strong knowledge of data wrangling, feature engineering, and model optimization


- Strong knowledge of relational and dimensional modeling; ability to translate business processes into entities, facts, dimensions, and KPIs.


- Strong experience in end-to-end AI/ML lifecycle management, including model development, validation, deployment, monitoring, and continuous improvement, aligned with structured workflows used in analytics and CoE initiatives.


- Hands-on exposure to MLOps practices


- Core Data Analyst profiles with team handling experience


Interview process :


- L1 Interview - 15 min screening Call + Case Study


- L2 Interview - Manager


- L3 Interview - PL


- L4 Interview - Onsite


- L5 Interview - HR Round

Skills

Machine Learning, Power BI, Data Science, Data Analytics, Analytics, SQL, Python, Tableau

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