Data Science Manager
Data ScienceData & AI
1 views0 saves0 applied
Quick Summary
Overview
This role is for one of Weekday’s clients Min Experience: 8+ yearsLocation: Pune, Maharashtra,
Technical Tools
Data ScienceData & AI
Requirements
~1 min read- Collaborate with engagement managers, account delivery managers, and client stakeholders to understand business objectives, project requirements, and expected outcomes.
- Translate business requirements into well-defined analytical problems and data science project deliverables.
- Maintain effective communication with clients throughout the project lifecycle and ensure alignment on scope, milestones, and priorities.
- Lead client meetings, weekly business reviews, and project discussions to communicate progress, address challenges, and agree on next steps.
- Pharmaceutical Domain: Relevant exposure to the pharmaceutical industry or pharma-related data science projects.
- Probability and Statistics: Advanced knowledge of statistical methods, probability theory, and analytical techniques.
- Machine Learning: Advanced understanding of practical machine learning methods, model evaluation, common pitfalls, and mitigation approaches.
- SQL and Python: Intermediate proficiency in SQL and Python for data analysis, querying, and analytical problem-solving.
- Project Management: Intermediate knowledge of project management methodologies, planning tools, milestone tracking, and delivery processes.
- Client and Stakeholder Management: Ability to gather requirements, communicate progress, manage expectations, and maintain strong client relationships.
- Leadership: Experience guiding team members, reviewing deliverables, and maintaining high standards of execution.
- MS Office: Intermediate proficiency in Microsoft Excel, PowerPoint, and Word for analysis, reporting, and presentations.
- Quality and Delivery Management: Ability to monitor project performance, identify delivery risks, and implement quality improvement initiatives.
Responsibilities
~1 min read- Develop appropriate data science and machine learning approaches to address client business challenges.
- Apply advanced knowledge of probability and statistics to analyse data, validate assumptions, and generate meaningful insights.
- Design practical machine learning solutions while accounting for common pitfalls, model limitations, data quality issues, and potential sources of bias.
- Guide the selection of suitable analytical methodologies, modelling techniques, and evaluation metrics based on project objectives.
- Use SQL and Python to support data exploration, analysis, model development, and validation as required.
- Develop comprehensive project plans covering scope, objectives, resource allocation, milestones, timelines, and deliverables.
- Allocate tasks to team members based on their skills, experience, and project requirements.
- Lead project execution and monitor progress against agreed plans, identifying risks and implementing corrective actions where necessary.
- Track project milestones, manage dependencies, and ensure timely delivery without compromising quality.
- Apply appropriate project management methodologies and tools to improve delivery efficiency and accountability.
- Take ownership of project delivery quality and ensure all deliverables meet established standards and client expectations.
- Monitor delivery performance across key metrics and scorecard dimensions, report progress accurately, and develop action plans to address gaps.
- Establish and enforce quality assurance practices, including peer reviews, documentation standards, coding best practices, and quality checklists.
- Review analytical outputs, code, presentations, reports, spreadsheets, and client communications before delivery.
- Identify opportunities to improve project processes, analytical quality, and overall delivery performance.
- Provide technical and business guidance to data scientists, analysts, and other delivery team members.
- Lead internal scrum meetings, daily stand-ups, and project planning discussions to maintain alignment and execution discipline.
- Coach team members, support their professional development, and encourage continuous learning.
- Foster a high-performance work environment built on collaboration, accountability, mutual trust, and respect.
- Encourage experimentation, innovation, and the adoption of improved data science and project delivery practices.
- Apply data science methodologies to business problems within the pharmaceutical and healthcare ecosystem.
- Understand client objectives and translate domain-specific requirements into relevant analytical approaches.
- Support the development of data-driven recommendations that improve business decision-making and project outcomes.
Location & Eligibility
Where is the job
Pune, India
On-site at the office
About this job
- Posted
- Today
Listing Details
- Posted
- October 28, 2026
- First seen
- October 28, 2026
- Last seen
- October 28, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 60%
- Scored at
- October 28, 2026
Signal breakdown
freshnesssource trustcontent trustemployer trust
External application
4 other jobs at
View all →Similar Data Science jobs
View all →Data Science Engineer
Remote
Dataverse / Data Science Lead (CBP)
$111,209–$180,317
Full-timeRemote
Manager, Data science & Marketing Effectiveness (MMM)
£80,000 and £95,000
Permanent position
Remote
Python Data Science | Mid/Senior
Full-timeRemote
Data Science Manager - Manufacturing Data (KR)
Full-time
Senior Manager, Data Science & Service Intelligence
$120,000 - $140,000
Browse Similar Jobs
Analytics2.6kBusiness Analyst2.5kData Architect531Machine Learning419Database Administrator402Business Intelligence322Risk Analyst281Business Intelligence Analyst192Database Engineer138AI Engineer122Quantitative Analyst107Data Modeler103Ai Research Engineer98Operations Data Engineer77Optimization Engineer76Machine Learning Scientist74Master Data Specialist67Data Quality Analyst59Research Scientist55Fraud Analyst52
Newsletter
Stay ahead of the market
Get the latest job openings, salary trends, and hiring insights delivered to your inbox every week.
A
B
C
D
No spam. Unsubscribe at any time.