Jobs
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
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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
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