3825: AI/Data Science Senior Analyst at Accenture

Pune, Maharashtra, India

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Marketing, Communications, TechnologyIndustries

Requirements

Bachelor’s or master’s degree in a quantitative discipline (Computer Science, Statistics, Data Science, Engineering, or related)
2+ years of hands-on experience in applied machine learning or data science roles
Strong programming experience in Python, including use of libraries like Pandas, Scikit-learn, and NumPy
Solid understanding of statistical modeling, hypothesis testing, and evaluation metrics
Proficiency in classical machine learning techniques such as regression, classification, clustering, etc
Experience with model deployment and MLOps workflows, including version control, testing, and monitoring pipelines
Familiarity with SQL for data querying and preprocessing
English language proficiency
Excellent communication, presentation, and critical thinking skills
Proven ability to successfully collaborate within and across a variety of teams
Rigorously detail-oriented with commitment to accuracy and track record of project management success
Ability to influence leadership and stakeholders through relationship-building, executive-level presence and subject matter expertise
Ability to prioritize projects with a focus on impact
Ability to operate with a high level of energy, commitment and enthusiasm to take on a complex, challenging role in a dynamic, fast-paced organization

Responsibilities

Drive the development and execution of data-driven strategies, contributing to the organization's overall goals and business objectives
Develop and implement AI/ML models to deliver data-driven insights and innovative solutions for business stakeholders
Translate data-driven findings into clear and concise recommendations for both technical and non-technical audiences
Enable marketing stakeholders to make strategic recommendations based on insights from data science solutions to help shape the organization's future direction
Analyze structured as well as unstructured data using advanced analytics and NLP techniques and visualize the findings in an intuitive manner
Ensure data quality, integrity, and privacy by implementing best practices for data collection, processing, and storage
Contribute to a collaborative work environment that encourages knowledge sharing and cross-team collaboration
Write clean, modular, and well-documented code in Python for model development and automation
Support the integration of ML models into production using established MLOps practices and pipelines
Stay curious and engaged with the latest in AI/ML—especially in fast-moving areas like LLM fine-tuning, FastAPI, and agent-based systems

Skills

Python

Machine Learning

NLP

MLOps

LLM fine-tuning

FastAPI

Data Analytics

Data Visualization

Accenture

Global professional services for digital transformation

About Accenture

Accenture provides a wide range of professional services, including strategy and consulting, technology, and operations, to help organizations improve their performance. Their services assist clients in navigating digital transformation, enhancing operational efficiency, and achieving sustainable growth. Accenture's offerings include cloud migration, cybersecurity, artificial intelligence, and data analytics, which are tailored to meet the needs of various industries such as financial services, healthcare, and retail. What sets Accenture apart from its competitors is its extensive industry knowledge and ability to deliver comprehensive solutions that address both immediate challenges and long-term goals. The company's aim is to support clients in reducing their environmental impact while driving innovation and growth.

Dublin, IrelandHeadquarters

1989Year Founded

$8.5MTotal Funding

IPOCompany Stage

Consulting, Enterprise Software, CybersecurityIndustries

10,001+Employees

Risks

Rapid AI advancements may outpace Accenture's current capabilities, risking competitive disadvantages.

Integration challenges from multiple acquisitions could affect Accenture's operational efficiency.

The rise of AI-driven startups may disrupt Accenture's market share in customer service solutions.

Differentiation

Accenture's acquisitions enhance its capabilities in digital twin technology for financial services.

The company is expanding its expertise in net-zero infrastructure through strategic acquisitions.

Accenture's focus on software-defined vehicles positions it as a leader in automotive innovation.

Upsides

Accenture's investment in EMTECH supports central bank modernization amid digital currency evolution.

The acquisition of Award Solutions boosts Accenture's presence in the growing 5G and IoT markets.

Accenture's strategic acquisitions align with high-growth markets like digital twins and net-zero projects.

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