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Accenture

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3.9

based on 53.1k Reviews

Proud winner of ABECA 2024 - AmbitionBox Employee Choice Awards

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26586 Accenture Jobs

S&C Global Network - AI - Life Sciences -Data Science Manager

Accenture Solutions Pvt Ltd

3.9

based on 53.1k Reviews

10-14 years

₹ 30 - 43L/yr (AmbitionBox estimate)

Gurgaon / Gurugram, Bangalore / Bengaluru, Delhi/Ncr

S&C Global Network - AI - Life Sciences -Data Science Manager

Accenture

posted 4d ago

Job Role Insights

Flexible timing

Key skills for the job

Data Entry Digital Marketing Data Science Power BI Python AWS

+ 15 more

Job Description

Entity:- Accenture Strategy & Consulting

Team:- Global Network- Data & AI

Practice:- Life Sciences

Title:- Ind & Func AI Decision Science Manager

Job Location:- Delhi, Gurgaon, Mumbai, Bangalore

WHATS IN IT FOR YOU?

An opportunity to work on high-visibility projects with top Pharma clients around the globe.

Potential to Co-create with leaders in strategy, industry experts, enterprise function practitioners, and business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies.

Ability to embed responsible business into everything"from how you service your clients to how you operate as a responsible professional.

Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge, and capabilities.

Opportunity to thrive in a culture that is committed to accelerating equality for all. Engage in boundaryless collaboration across the entire organization.

What you would do in this role

Support delivery of small to medium-sized teams to deliver consulting projects for global clients.

Responsibilities may include strategy, implementation, process design, and change management for specific modules.

Manage daily operations within the team, guide & counsel the team members towards driving the Solution delivery to the Client.

Participating in client discussions, developing new industry Point of View (PoV), re-usable assets (tools)

Translate complex analytical findings into clear and concise reports and presentations for various stakeholders, including clinicians, executives, and patients (depending on the role).

Provide Subject matter expertise in various sub-segments of the LS industry.

Develop assets and methodologies, point-of-view, research, or white papers for use by the team and the larger community.

Acquire new skills that have utility across industry groups.

Support strategies and operating models focused on some business units and assess likely competitive responses. Also, assess implementation readiness and points of greatest impact.

Co-lead proposals, and business development efforts and coordinate with other colleagues to create consensus-driven deliverables.

Execute a transformational change plan aligned with the clients business strategy and context for change. Engage stakeholders in the change journey and build commitment to change.

Make presentations wherever required to a known audience or client on functional aspects of his or her domain.

Qualifications

Who are we looking for?

Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field.

Proven experience (10 + years) in working on Life Sciences/Pharma/Healthcare projects and delivering successful outcomes.

Excellent understanding of Pharma data sets commercial, clinical, RWE (Real World Evidence) & EMR (Electronic medical records)

Leverage ones hands-on experience of working across one or more of these areas such as real-world evidence data, R&D clinical data, and digital marketing data.

Hands-on experience with handling Datasets like Komodo, RAVE, IQVIA, Truven, Optum, SHS, Specialty Pharmacy, PSP etc.

Hands-on experience in building and deployment of Statistical Models/Machine Learning including Segmentation & predictive modeling, hypothesis testing, multivariate statistical analysis, time series techniques, and optimization.

Proficiency in Programming languages such as R, Python, SQL, Spark, etc.

Ability to work with large data sets and present findings/insights to key stakeholders; Data management using databases like SQL.

Experience with any of the cloud platforms like AWS, Azure, or Google Cloud for deploying and scaling language models.

Experience with any of the data visualization tools like Tableau, Power BI, Qlikview, and Spotfire is good.

Excellent analytical and problem-solving skills, with a data-driven mindset.

Proficient in Excel, MS Word, PowerPoint, etc.

Ability to solve complex business problems and deliver client delight.

Strong writing skills to build points of view on current industry trends.

Good Client handling skills; able to demonstrate thought leadership & problem-solving skills.

Employment Type: Full Time, Permanent

Read full job description

Accenture Interview Questions & Tips

Prepare for Accenture Data Science Manager roles with real interview advice

People are getting interviews at Accenture through

(based on 5.2k Accenture interviews)

Job Portal

Campus Placement

Company Website

Referral

Walkin

Recruitment Consultant

33%

18%

13%

12% candidates got the interview through other sources.

High Confidence

What people at Accenture are saying

3.1

Rating based on 26 Data Science Manager reviews

Anonymous · Data Science & Machine Learning in Pune

Likes

Good company overall, but sometimes projects can become slow and boring but need to continue in the same project as chargeability is important

Dislikes

Projects are slow , appraisals for the past 2 years have been relatively lesser

Read 26 reviews

Data Science Manager salary at Accenture

reported by 263 employees with 7-16 years exp.

₹23 L/yr - ₹55 L/yr

8% more than the average Data Science Manager Salary in India

View more details

What Accenture employees are saying about work life

based on 53.1k employees

65%

85%

68%

76%

Flexible timing

Monday to Friday

No travel

Day Shift

View more insights

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