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

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

Accenture Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition

As part of our Data & AI practice, you will join a worldwide network of smart and driven colleagues experienced in leading AI/ML/Statistical tools, methods and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically-informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance.

WHAT'S 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 client's 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.