Manager - Analytics & Data Science

Dentsu Aegis Network Ltd.; India; On-site; INR 3,500,000 - 5,500,000; Full time

Job summary

Dentsu Aegis Network Ltd. in Bengaluru (DGS India) is seeking a senior Data Science and ML professional with 7+ years of experience in Python, ML/AI, statistics, and advanced analytics.

The role focuses on pricing analytics, forecasting, segmentation, and A/B testing, with hands-on work in common ML models and libraries. Ideal candidates excel in translating analytics into business recommendations, engaging in strategic discussions, and balancing technical delivery with business impact.

Qualifications

• 7+ years of experience in Data Science and ML with Python
• Strong analytics background including pricing analytics, forecasting and segmentation
• Hands-on experience with standard ML models and modern libraries

Responsibilities

• Translate analytics into business recommendations and strategic discussions
• Balance technical delivery with measurable business impact
• Proactively research and apply new DS/ML approaches and frameworks

Skills

Python

SQL

Excel

Stakeholder management

Communication

Problem solving

Tools

NumPy

Pandas

Scikit-learn

TensorFlow

PyTorch

Seaborn

Plotly

Tableau

Power BI

Job description

Job Description

Role requirement : The role requires a Data Science and Machine Learning professional with 7+ years of experience in Python, ML/AI, statistics, and advanced analytics. The candidate should have expertise in developing commonly used ML models, analyzing large datasets. Key skills include Pricing Analytics, Forecasting, Segmentation, A/B Testing, and Test & Learn frameworks, along with hands-on experience in ML techniques such as Linear Regression, Decision Trees, Random Forest, Gradient Boosting, and K‑Means Clustering. Strong proficiency in Python, SQL, Excel, and visualization tools is essential, with experience in libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, Seaborn, and Plotly. Exposure to Tableau, Power BI, Generative AI, and Prompt Engineering would be an added advantage. Beyond technical expertise, the role requires strong communication, stakeholder management, problem‑solving abilities, and a proactive mindset. The ideal candidate should be able to translate analytics into business recommendations, engage in strategic discussions and solutioning, and effectively balance technical delivery with business impact. Other considerations Strong hands‑on Data Science / ML / Python skills are non‑negotiable. Strong methodological thinking and communication skills are critical. The work is complex from a methodology perspective, so the individual needs to be able to understand complex problems and communicate the approach and outcomes in a simple, effective way to stakeholders. A strong research mindset is required. While there are established testing methodologies we use today, the expectation is to continuously research, experiment, and identify new and better approaches. Strong problem‑solving and stakeholder management skills are essential. The person should be able to quickly break down ambiguous problems, identify solutions, and effectively manage stakeholder expectations and communication.

Location

Location: DGS India - Bengaluru - Manyata N1 Block Brand: Merkle Time Type: 全职 Contract Type: 永久

About dentsu

For over 120 years, innovation has been a core tenet of our offering – exploring new ways to reach, engage and nurture relationships with audiences. Together we drive a multiplier effect for clients at a global scale, through the development of Integrated Growth Solutions that are underpinned by our promise to clients: innovating to impact. Be a force for good. Sustainability is a vital part of our business and an important area of focus for our clients. We’re leading the way – helping to build a more sustainable planet. Dream loud. In this moment of transformation, we need our people to be fearless, embracing change and ambiguity, driven by the love for their work and excitement for the future.

Team without limits.

We create opportunities for connection and collaboration between our colleagues and clients, building a sense of belonging and having some fun along the way.