Manager - Analytics & Data Science

Dentsu Global Services; Bengaluru; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

Dentsu Global Services in Bengaluru invites a senior Data Science & ML professional with 7+ years of experience to lead advanced analytics initiatives. You will develop and deploy ML models, analyze large datasets, and translate analytics into business recommendations.

You will work with pricing analytics, forecasting, segmentation, A/B testing and Test & Learn frameworks, utilizing Python, SQL, Excel and visualization tools; familiarity with Tableau/Power BI and Generative AI is a plus.

Qualifications

• 7+ years of experience in Data Science and ML.
• Experience developing commonly used ML models and analyzing large datasets.
• Strong hands-on Python, ML/AI, statistics, and advanced analytics.
• Proficiency in Python, SQL, Excel, and visualization tools; knowledge of ML libraries.

Responsibilities

• Translate analytics into business recommendations and actionable insights.
• Engage in strategic discussions and solutioning with stakeholders.
• Balance technical delivery with business impact to drive outcomes.
• Demonstrate strong communication and problem-solving skills.

Skills

Pricing Analytics

Forecasting

Segmentation

A/B Testing

Test & Learn

Linear Regression

Decision Trees

Random Forest

Gradient Boosting

K-Means Clustering

Python

SQL

Excel

Data Visualization

Tools

NumPy

Pandas

Scikit-learn

TensorFlow

PyTorch

Seaborn

Plotly

Tableau

Power BI

Job description

• 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.

Job Description:

• 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

DGS India - Bengaluru - Manyata N1 Block

Brand

Merkle

Time Type

Full time

Contract Type

Permanent#DGS