Data Science Practitioner (2-4 yrs)

Data Science Practitioner

Formulating, design and deliver AI/ML-based decision-making frameworks and models for business outcomes. Measure and justify AI/ML based solution values.

Data Science

NA

Minimum

year(s) of experience is required

15 years full time education

Summary:

As a Data Science Practitioner, a typical day involves developing and implementing advanced decision-making frameworks and models that leverage artificial intelligence and machine learning techniques to drive meaningful business results. This role requires a thoughtful approach to designing solutions that not only address complex challenges but also provide measurable value. The practitioner collaborates with various stakeholders to ensure that the models align with organizational goals and contribute to informed decision-making processes. Continuous evaluation and refinement of these frameworks are integral to maintaining their effectiveness and relevance in dynamic business environments.

Roles & Responsibilities:

- Expected to perform independently and become an SME.

- Required active participation/contribution in team discussions.

- Contribute in providing solutions to work related problems.

- Collaborate with cross-functional teams to gather requirements and translate them into technical solutions.

- Continuously monitor and improve the performance of deployed models to ensure optimal outcomes.

- Document methodologies and findings clearly to support knowledge sharing and future reference.

- Assist junior team members by providing guidance and support to foster their professional growth.

Professional & Technical Skills:

- Must To Have Skills: Proficiency in Data Science.

- Strong analytical skills with the ability to interpret complex data sets and extract actionable insights.

- Experience in designing and implementing machine learning models and algorithms.

- Familiarity with data preprocessing techniques including cleaning, transformation, and normalization.

- Ability to work with large datasets and utilize statistical methods to validate model performance.

- Competence in programming languages commonly used in data science such as Python or R.

Additional Information:

- The candidate should have minimum 3 years of experience in Data Science.

- This position is based at our Pune office.

- A 15 years full time education is required.

15 years full time education

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com 

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.