Data Scientist 2 at Publicis Groupe Holdings B.V
Publicis Groupe Holdings B.V is hiring a Data Scientist 2 in Bengaluru, Karnataka, India. The role details below come from the employer’s posting. You apply on the employer’s own site, and TechJobs360 never charges candidates.
On this page
1. Job details
Publicis Groupe Holdings B.V
Data Scientist 2
Bengaluru, Karnataka, India
Not disclosed by employer
See the job description
On the employer’s site
2. Job description from Publicis Groupe Holdings B.V
Overview
About Business Unit:
The Automotive Practice at Epsilon is a rapidly growing team, driving growth for major players in the automotive industry – from Original Equipment Manufacturers (OEMs) to dealerships across North America. Part of a 1,600-member multinational team, the practice provides the automotive world’s largest service reminder platform, alongside agency services and digital media solutions. A leader in the automotive space, the team supports over 50% of auto dealerships in North America and maintains relationships with over 280 million customers. Home to innovation and ground breaking technology, our Auto team leads the game in developing outstanding software and solutions for hyper-personalized digital marketing.
Role Overview:
The Automotive Data Science team within Epsilon partners both internal and external clients and data providers, leverage predictive analytics and advanced modeling techniques to drive strategic thought and effective decision making. The core work charter includes supporting Retail and After Sales Service businesses for all the OEMs by developing solutions across the Customer Journey to drive Acquisition, Engagement, Retention using Advanced Analytics, Machine Learning, Deep Learning Capabilities and Data Platforms.
The Data Scientist, II would support stakeholders by deploying projects from inception to insights and enable business strategy and impact for the clients. Contributes towards automation, process improvement and efficiency. Demonstrates innovative thinking, passion, and cross team collaboration. Establish strong working relationship with partners.
Click here to view how Epsilon transforms marketing with 1 View, 1 Vision and 1 Voice.
Responsibilities
Apply AI, machine learning, and deep learning techniques including regression, classification, clustering, tree-based algorithms, support vector machines, neural networks, recommender systems, and marketing attribution models to solve complex business problems.
Design and implement end-to-end MLOps pipelines covering data ingestion, training, validation, deployment, and monitoring.
Support the deployment, monitoring, and maintenance of machine learning models in production, tracking model performance, data quality, scalability, and model drift to ensure reliable and sustained business value.
Enhance existing analytical methodologies by identifying new data sources, engineering relevant features, experimenting with alternative algorithms, fine-tuning hyperparameters, and improving model performance and business outcomes.
Define analytical and technical requirements for developing scalable data science capabilities, machine learning platforms, data pipelines, and reusable analytical solutions.
Translate complex analytical findings and model outputs into actionable business recommendations, presenting insights effectively to partners
Automate data science and machine learning workflows to improve operational efficiency, reproducibility, and scalability while collaborating with cross-functional teams to deliver production-ready solutions.
Qualifications
Bachelor’s or Master’s Degree in Engineering or a quantitative field (Statistics, Economics, Mathematics, Data Science, or Business Analytics).
2–4 years of relevant experience as a Data Scientist or Machine Learning Engineer.
2+ years of hands-on programming skills using Python, PySpark, SQL, and ML frameworks.
Good understanding of the end-to-end machine learning lifecycle, including data preparation, model development, validation, deployment, and monitoring.
Good working knowledge of MLOps practices, Databricks, and Cloud Platforms AWS or Azure.
Experience working with large datasets and developing scalable, efficient data science and machine learning solutions.
Exposure to automotive industry and digital marketing campaigns are preferred.
Ability to work independently, navigate ambiguity, and deliver effective solutions
Analytical thinking and problem-solving abilities, with a data-driven approach to decision-making.
Present analytical findings, model outcomes, and technical insights clearly to stakeholders.
Excellent written and verbal communication skills to share actionable business insights.
Highly motivated, proactive, and collaborative teammate with good interpersonal skills and the ability to work effectively across cross-functional teams.
Additional Information
Epsilon is a global data, technology and services company that powers the marketing and advertising ecosystem. For decades, we’ve provided marketers from the world’s leading brands the data, technology and services they need to engage consumers with 1 View, 1 Vision and 1 Voice. 1 View of their universe of potential buyers. 1 Vision for engaging each individual. And 1 Voice to harmonize engagement across paid, owned and earned channels.
Epsilon’s comprehensive portfolio of capabilities across our suite of digital media, messaging and loyalty solutions bridge the divide between marketing and advertising technology. We process 400+ billion consumer actions each day using advanced AI and hold many patents of proprietary technology, including real-time modeling languages and consumer privacy advancements. Thanks to the work of every employee, Epsilon has been consistently recognized as industry-leading by Forrester, Adweek and the MRC. Epsilon is a global company with more than 9,000 employees around the world.
Our pillars aren't just words. They're how we show up every day.
People centricity: We focus on employee well-being in an environment where colleagues truly care about each other.
Collaboration: We work together, support one another, and collectively achieve goals.
Growth: There are endless opportunities for growth through learning, development and career advancement.
Innovation: We drive progress through cutting-edge solutions and forward-thinking approaches.
Flexibility: We’ve created a balance between work and personal life, and we encourage adaptability to solve problems creatively.
Our values guide us to create value for our clients, our people and consumers.
Act with integrity
Work together to win together
Innovate with purpose
Respect all voices
Empower with accountability
These pillars and values are our foundation—shaping our culture, guiding our decisions, and uniting us in common purpose.
3. Skills that usually matter in data and AI roles
General guidance from TechJobs360, not part of Publicis Groupe Holdings B.V’s posting. The job description above is what counts for this role.
| Area | What to be comfortable with |
|---|---|
| Languages | Python, SQL, Scala |
| Frameworks & tools | Spark, pandas, PyTorch / TensorFlow, Airflow, a cloud data warehouse |
| Computer science basics | Data structures, algorithms, complexity |
| Ways of working | Version control, code review, testing, reading other people's code |
4. How to prepare for a Data Scientist 2 interview
Interview formats differ by company and team, so confirm the rounds with the recruiter. Most hiring loops for roles like this cover:
A recruiter call or an online test. Read the job description twice and be ready to explain how your experience matches it.
Often coding problems on arrays, strings, trees, graphs or dynamic programming, solved while you explain your thinking.
Often design and trade-off questions sized to the role: an API, a component, or a small system.
Answer with the STAR method (Situation, Task, Action, Result). Prepare two or three real stories: a hard problem you solved, a disagreement you handled, and something you learned quickly.
5. Take-home pay example (FY 2026–27, new tax regime)
An example for two common package sizes, not this job’s salary. Under the new tax regime (Section 115BAC) salaried employees get a standard deduction of ₹75,000.
| Component | Example: ₹12 LPA | Example: ₹24 LPA |
|---|---|---|
| Basic salary (40% of CTC) | ₹40,000 / mo | ₹80,000 / mo |
| Employee EPF (12% of basic) | -₹4,800 / mo | -₹9,600 / mo |
| Income tax (TDS) | -₹6,933 / mo | -₹32,450 / mo |
| Professional tax | -₹200 / mo | -₹200 / mo |
| Approx. in-hand | ₹81,344 / mo | ₹1,44,304 / mo |
Work out the take-home pay for your own offer, in either tax regime.
Open the salary calculator →6. Questions and how to apply
How do I apply?
Use the apply button below. It opens Publicis Groupe Holdings B.V’s own application page.
Does TechJobs360 recruit for this job or charge a fee?
No. We list openings from employers’ career sites. Publicis Groupe Holdings B.V runs the hiring, and nobody should ask you to pay to apply.
Is this job still open?
We check listings against the employer’s page every day and take down jobs that have closed.
Should I apply if I don’t match every requirement?
Usually yes, if you meet most of the core requirements and can show you learn quickly. A referral from someone on the team can help your resume get read.
Apply for Data Scientist 2 at Publicis Groupe Holdings B.V
Apply on the employer’s site →