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Senior Data Scientist

Job in 110006, Delhi, Delhi, India
Listing for: Bennett Coleman & Co. Ltd. (The Times of India)
Full Time position
Listed on 2026-06-06
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist
Job Description & How to Apply Below
About Bennett, Coleman & Co. Ltd. (The Times of India)
We are India's largest media conglomerate, known for our leading publications such as The Times of India, The Economic Times, and many others. With a rich heritage of over 180 years, we are dedicated to delivering news, information, and entertainment to millions of readers across the country.

Our commitment to journalistic excellence, innovation, and integrity makes us a trusted name in the industry.
As our reputation precedes us, we are a Print++ company, with print being our core, on a transformative journey to bring newer content consumption experiences.
Come be a part of our growing family!

About the Hiring Function
The Product and Technology team is integral to our organization, driving innovation and the development of print and digital products that enhance reader engagement and operational efficiency. The hiring function within this team is dedicated to attracting and retaining top talent across various roles, including product management, software development, UX/UI design, and data analytics.

About the Position
We are seeking a  Senior Data Scientist  to drive data-led decision-making across our newsroom as part of a large-scale editorial and operational transformation. This role will operate at the intersection of  editorial judgment, product innovation, and operational efficiency , delivering insights, models, and tools that enhance journalist productivity, content reach, and resource optimisation.
You will partner closely with editors, newsroom leadership, product managers, designers, and engineers to embed data science into everyday newsroom workflows—much like how leading global news organisations use data to inform coverage, distribution, and efficiency.

Key Responsibilities:

Editorial Intelligence & Productivity
Develop data-driven insights to support editors in selecting, prioritising, and planning stories
Build models and dashboards that surface actionable signals such as content performance, audience behaviour, and newsroom productivity
Create intelligent feeds and recommendations for editors based on historical performance, trends, and editorial context
Analyse newsroom workflows to identify bottlenecks and opportunities for automation or optimisation
Applied Data Science & Modelling
Build and deploy statistical and machine learning models for:
Content performance prediction and optimisation
Audience segmentation and engagement analysis
Content reuse and syndication across editions, languages, or formats
Trend detection and topic clustering
Translate complex analytical outputs into clear, interpretable insights for non-technical stakeholders
Data Analysis, Visualisation & Storytelling
Perform deep exploratory data analysis on editorial, audience, and operational datasets
Create automated and interactive visualisations to support editorial reviews and leadership decision-making
Partner with design and product teams to embed analytics and insights directly into newsroom tools
Operational & Resource Optimization
Apply data science techniques to optimize physical and operational resources such as:
Print runs, ink usage, and pagination efficiency
Edition-level content allocation and reuse
Distribution and production planning
Build forecasting models to improve cost efficiency without compromising editorial quality
Collaboration & Enablement
Work with data engineers to define data pipelines, quality standards, and feature stores
Collaborate with full-stack and platform teams to product ionize models and insights
Mentor junior data scientists and analysts; contribute to best practices in applied data science
Advocate for data-informed culture while respecting editorial independence and judgment

Education & Experience:

Master’s degree in Computer Science, IT, or a related field.
5–8 years of experience in  applied data science , analytics, or machine learning roles

Required Skills:

Strong proficiency in Python (preferred) or R for data analysis and modeling
Solid grounding in statistics, probability, and machine learning techniques
Experience working with structured and semi-structured data at scale
Strong SQL skills and experience working with analytical data…
Position Requirements
10+ Years work experience
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