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AI/Data Science Senior Analyst

Accenture

AI/Data Science Senior Analyst

Accenture

·

On-site

·

Full-time

·

3d ago

Benefits & Perks

Healthcare

401k

Required Skills

Python

Machine Learning

SQL

The Accenture Marketing + Communications Data & Analytics team delivers high value insights and analytics capabilities that empowers Marketing + Communications to be data-driven, deliver relevant experiences, and efficiently operate and optimize for ROI.

This role is responsible for ideating and developing innovative data science and AI solutions to generate actionable recommendations for our client, talent and internal marketing teams. This includes collaborating with senior marketing stakeholders to understand business needs and then leading and partnering with teams of data scientists and engineers to deliver high value, high quality solutions.

Job Specifications / 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.

Core Skills Required

  • Strong programming experience in Python, including use of libraries like Pandas, Scikit-learn, and Num Py.
  • 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.
  • Prior experience with digital marketing data sources and technologies such as Adobe Analytics, Sales Force, Sprinklr and Eloqua is strongly preferred. \
  • English language proficiency

Nice to Have / Bonus Skills

  • Exposure to FastAPI or building APIs for ML services.
  • Familiarity with LLM fine-tuning, embedding models, or retraining open-source LLMs on domain-specific data.
  • Early experience or strong interest in Agentic AI and frameworks enabling autonomous agents.
  • Experience with cloud platforms (GCP, AWS, Azure) or tools like Snowflake, Big Query.

Other Requirements

  • 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

Experience & Qualifications

Education: Bachelor’s or master’s degree in a quantitative discipline (Computer Science, Statistics, Data Science, Engineering, or related).

Work Experience:

  • 2+ years of hands-on experience in applied machine learning or data science roles.
  • B2B marketing analytics a plus

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.

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About Accenture

Accenture

Accenture

Public

Let there be change.

10,001+

Employees

Dublin

Headquarters

Reviews

4.0

10 reviews

Work Life Balance

3.5

Compensation

4.0

Culture

4.2

Career

4.1

Management

4.0

75%

Recommend to a Friend

Pros

Great learning and development opportunities

Supportive and collaborative work environment

Good career growth and networking opportunities

Cons

Need to be proactive in finding projects

Long hours during busy periods

Very competitive environment for advancement

Salary Ranges

33 data points

L2

L3

L4

L5

L6

M3

M4

M5

M6

L2 · Business Operations L2

0 reports

$55,250

total / year

Base

$22,100

Stock

$27,625

Bonus

$5,525

$38,675

$71,825

Interview Experience

6 interviews

Difficulty

2.7

/ 5

Duration

14-28 weeks

Offer Rate

17%

Experience

Positive 0%

Neutral 50%

Negative 50%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical/Task-Based Interview

4

Final Interview

5

Offer

Common Questions

Technical Knowledge

Behavioral/STAR

Past Experience

Case Study