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[India] Lead - Data Scientist

Reads like a Data Leadership role: running a data team.

Pay
Pay not listed
Work setting
Not stated
Employment
Not stated

What you’ll work on

Full posting
  • Translate client business questions into scoped data science problems and success measures

  • Design and oversee ML solutions across the pharma commercial lifecycle

  • Own client communication and provide thought leadership on business decisions

  • Lead project delivery across timelines, scope and team allocation

  • Mentor and manage a team of data scientists

From the employer’s posting
Work with clients to translate business questions into well-scoped data science problems
Design and oversee ML solutions across the pharma commercial lifecycle
Own client communication and relationships and provide thought leadership to support their business decisions.
Lead project delivery across timelines, scope and team allocation
Mentor and manage a team of data scientists
Education & alternatives
- 5.5+ years of hands-on experience in data science and ML, with at least 2 years leading projects or teams in a pharma consulting or client-facing setting. - A Bachelor's or Master's degree in engineering, statistics, mathematics or a relevant quantitative field. - Experience with life sciences data, such as claims (Komodo, IQVIA, Symphony), specialty pharmacy, CRM, DDD, Lab and other HCP, account or patient-level data.

About ProcDNA

We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients.

In the employer’s words · Read in context

Apply at ProcDNA

Posting record

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Status in our records
Live
First seen by us
Sep 17, 202657 days ago
Recorded sightings
70
Last seen by us
Nov 13, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 57

Similar jobs usually come down between day 8 and day 57.

Well past ProcDNA’s usual: its jobs come down by about day 21.

From 9,462 similar postings that came down, and 5 of ProcDNA’s. Coming down is not always a hire.

ProcDNA is hiring

24 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring at a steady pace
  • Takes jobs down at a usual pace
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • AWS
  • Azure
  • Databricks
  • PySpark
Where the posting names them
- Strong depth in Statistics, supervised and unsupervised ML, Deep learning and GenAI concepts, along with experience in deploying models to production. - Strong Python and SQL, with experience on distributed or cloud platforms such as Databricks, PySpark and AWS/Azure. - A track record of owning client communication and explaining results to non-technical stakeholders.

Your next step

Complete your application on procdna.applytojob.com. The employer’s form will show what is required.

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Demand for Data Leadership roles

New Data Leadership postings at the employers we follow are about the same over the last 6 weeks compared with the 6 before.

Weekly new Data Leadership postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 754, the most 1,166, and the latest week had 892.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Leadership, by the work the posting describes.

Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.

Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.

Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.

US government figures for computer and information systems managers

Median yearly pay, May 2025
$175,140
Expected change, 2025 to 2035
15.8% more jobsagainst 3.5% for all jobs

The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.

Job description

View original posting ↗

About ProcDNA

ProcDNA is a global consulting firm. We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients. We're a passionate team of 470+ across 9 offices, all growing and learning together since our launch during the pandemic. Here, you won't be stuck in a cubicle. Instead, you'll be out in the open water, shaping the future with brilliant minds. Ready to join our epic growth journey?
 

What are we looking for

We are looking for a Lead Data Scientist who can own data science engagements end to end, from shaping the problem with the client to delivering and operationalizing ML solutions. You will lead a team of data scientists, guide technical decisions, and help grow ProcDNA's data science practice through client relationships and new capabilities.

What you'll do:

  • Work with clients to translate business questions into well-scoped data science problems, and define the approach, data requirements and success measures.
  • Design and oversee ML solutions across the pharma commercial lifecycle, and choose methods that fit the data and the decision they support.
  • Own client communication and relationships and provide thought leadership to support their business decisions.
  • Quality-check the team's work and guide models to production through cross-team collaboration.
  • Lead project delivery across timelines, scope and team allocation, often across parallel engagements.
  • Mentor and manage a team of data scientists, and keep yourself and the team current with advancements in the field for collective growth.
  • Contribute to business development and internal capability building through proposals, POCs and reusable offerings, and help the practice grow

Must have:

  • 5.5+ years of hands-on experience in data science and ML, with at least 2 years leading projects or teams in a pharma consulting or client-facing setting.
  • A Bachelor's or Master's degree in engineering, statistics, mathematics or a relevant quantitative field.
  • Experience with life sciences data, such as claims (Komodo, IQVIA, Symphony), specialty pharmacy, CRM, DDD, Lab and other HCP, account or patient-level data.
  • Strong depth in Statistics, supervised and unsupervised ML, Deep learning and GenAI concepts, along with experience in deploying models to production.
  • Strong Python and SQL, with experience on distributed or cloud platforms such as Databricks, PySpark and AWS/Azure.
  • A track record of owning client communication and explaining results to non-technical stakeholders.
  • Experience in guiding and managing a team of data scientists.

Source details

View original posting ↗

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Pay

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Location & working pattern

Gurugram, India

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