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Accenture - Data Scientist (6-10 yrs)

6-10 years

Accenture - Data Scientist (6-10 yrs)

Accenture

posted 8d ago

Job Role Insights

Flexible timing

Job Description

Entity : Accenture Strategy & Consulting

Team : Strategy & Consulting - Global Network

Practice : GN Data &AI - CMT (Communication, Media & Technology)

Job location : Bangalore / Hyderabad / Pune / Gurugram

About S&C - Global Network :

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.

What's in it for you?

As part of our Data & AI practice, you will join a worldwide network of smart and driven colleagues experienced in leading AI/ML/GenAI tools, methods and applications. Lead, design, and build strategic thinking on large Data & AI/GenAI transformative deals to drive value, working closely with our clients in CMT. They develop specialized expertise-strategic, industry, functional, technical-in a diverse project environment that offers multiple opportunities for career growth.

Key Responsibilities :

- For large transformation deals, design robust data and AI strategy by discovering right business use cases, reinventing process design and optimizing the architecture.

- Define strategies to assess clients' current data and apply AI capabilities, developing roadmaps for the future using tools such as data diagnostics, data and AI maturity assessment, and business case development.

- Bring expertise to define and execute data and AI platform strategies for stakeholders, covering areas such as cloud computing, emerging data and AI platforms/ technologies/ trends, and ecosystem strategies.

- Design architecture and operating model blueprints including organizational design, delivery engagement models, and talent & learning roadmaps that enable seamless integration and scalability of AI solutions across the organization, ensuring alignment with business goals and technical requirements.

- Develop strategic roadmaps for the implementation of AI initiatives, outlining key milestones, dependencies, and timelines to ensure successful execution and alignment with business priorities.

- Provide thought leadership on emerging data and AI trends, patterns, and technologies, shaping proofs of capability and enabling clients to harness and adopt innovation in the data and AI domain.

- Collaborate with cross-functional teams to build compelling business cases for AI initiatives, conducting thorough cost-benefit analyses, ROI assessments, and risk evaluations to support decision-making and investment prioritization.

- Infuse Responsible AI in the core AI foundation and solution design, develop plan for leveraging ecosystem partners, and define operating model to foster a culture of innovation and experimentation.

Job Qualifications :

- Deep understanding of Generative AI, cloud computing, emerging data and AI platforms/technologies/trends

- Master's degree in computer science, Data Science, Business Administration, or a related field. MBA degree (preferred).

- Proven track record of at least 8 years of experience in data and AI strategy, with a focus on driving business value through the strategic application of AI technologies.

- Strong understanding of data and AI platforms & technologies, architecture principles, operating models, and best practices, with hands-on experience in designing and implementing scalable AI solutions.

- Demonstrated ability to build compelling business cases for AI initiatives, with experience conducting cost-benefit analyses, ROI assessments, and risk evaluations.

- Excellent strategic thinking and problem-solving skills, with the ability to identify opportunities for AI-driven innovation and value creation in complex business environments.

- Exceptional communication and stakeholder management skills, with the ability to effectively collaborate with cross-functional teams and influence decision-making at all levels of the organization.

Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.


Functional Areas: Other

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Accenture Interview Questions & Tips

Prepare for Accenture Data Scientist roles with real interview advice

Top Accenture Data Scientist Interview Questions

Q1. Why we use mission learning Mission learning used for analysis the data's and we can able to predict and we add some additional algorithm it ... read more
Q2. How do you choose which ml model to use?
Q3. What different splitting criterion are applied in decision tree. Why random forest works better ?
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What people at Accenture are saying

4.0
 Rating based on 70 Data Scientist reviews

Likes

I didn't find challenges being in Accenture employee for 3 years. Only issue is job is not stable so need to flexible to accept new challenges.

  • Salary - Good
  • +6 more
Dislikes

Nothing for me dislike Accenture.

Read 70 Data Scientist reviews

Data Scientist salary at Accenture

reported by 1.1k employees
₹7 L/yr - ₹25.2 L/yr
6% more than the average Data Scientist Salary in India
View more details

What Accenture employees are saying about work life

based on 54.8k employees
65%
85%
68%
76%
Flexible timing
Monday to Friday
No travel
Day Shift
View more insights

Accenture Benefits

Free Transport
Cafeteria
Work From Home
Gymnasium
Health Insurance
Soft Skill Training +6 more
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