Company description
Epsilon operates as a distinguished global frontrunner in the specialized domains of enterprise data, identity resolution, and precision digital media solutions.
As an integral core entity situated directly at the center of Publicis Groupe, the organization empowers world-class global brands to architect, deploy, and scale highly personalized consumer experiences.
The company delivers end-to-end data-driven value across clean room technologies, comprehensive customer data platforms (CDP), high-impact loyalty frameworks, and enterprise marketing service suites.
Epsilon maintains an extensive global footprint, operating seamlessly across more than thirty distinct countries spanning the EMEA, Americas, and APAC geographic territories.
Backed by a vast global workforce numbering over 8,000 dedicated professionals, the firm bridges advanced technology with real human insights to foster meaningful brand-to-consumer relationships.
The organisation manages and leverages massive, proprietary first-party and third-party data ecosystems to generate unprecedented market foresight and measurable economic outcomes.
By seamlessly fusing big data capabilities with cutting-edge analytical models, Epsilon serves as a key strategic partner for the world's most recognizable brands.
The company fosters an innovation-centric environment where continuous learning, advanced analytics, and cross-functional collaboration consistently drive industry-leading performance standards.
Profile overview:
The Associate Data Scientist role within Epsilon's high-performing Analytics division serves as an pivotal engine for converting complex, large-scale data assets into high-impact strategic foresight.
Positioned at the intersection of quantitative data science and modern business intelligence, this position directly contributes to optimizing proprietary media and platform offerings for global clients.
Core responsibilities center around applying rigorous descriptive, predictive, and prescriptive analytical techniques to investigate, model, and actively influence complex consumer behaviors.
Candidates will systematically engage with both first-party client dataset structures and Epsilon's proprietary third-party big data ecosystems to unlock statistically valid, actionable business insights.
Daily execution involves designing, testing, and implementing robust analytical frameworks and scalable data processing pipelines utilizing core tools like Python, PySpark, and SQL.
Practitioners regularly interface with advanced enterprise data infrastructure platforms, including Databricks, Greenplum, and specialized vector data repositories such as FAISS and ChromaDB.
The engineer actively participates in constructing, fine-tuning, and evaluating machine learning architectures engineered specifically to process internet-scale datasets seamlessly.
Beyond model execution, a critical dimension of the role involves establishing quality control protocols by performing peer reviews and verifying data pipelines designed across the team.
The candidate translates intricate mathematical model outcomes into clear, visually compelling executive presentations and dynamic dashboards structured for senior client stakeholders.
Success requires continuous proactive collaboration with cross-functional technical teams, data engineering groups, and non-technical business leaders to ensure operational alignment.
The team environment functions as an interactive, fast-paced incubator designed to fast-track technical growth and expose team members to emerging, state-of-the-art algorithmic methodologies.
Ultimately, the role demands an analytical mindset capable of translating unstructured big data into concrete, measurable business transformations while maintaining pristine operational standards.
Qualifications:
Demonstrates zero to one (0-1) year of professional experience within data science, advanced business analytics, quantitative engineering, or statistical research environments.
Holds a completed Bachelor’s degree or Master’s degree in Engineering, Computer Science, or a quantitative discipline such as Statistics, Economics, Applied Mathematics, or related fields.
Exhibits an exceptionally strong inherent aptitude for quantitative analysis, formal logic systems, structured mathematical thinking, and complex analytical problem solving.
Displays foundational familiarity and practical operational knowledge across primary analytical tools and languages including Python, SQL, R, or SAS frameworks.
Possesses hands-on familiarity or a strong theoretical understanding of key machine learning principles, data mining strategies, statistical modeling, and predictive analytics techniques.
Shows initial exposure or a strong eagerness to master modern cloud-based data environments and big data compute frameworks such as Databricks, PySpark, and relational/distributed database structures.
Demonstrates a strong analytical thought process capable of dissecting multi-layered business problems into systematic, technical data workflows.
Expresses a proactive, curious learning demeanor with an explicit drive to master emerging data tools, cutting-edge technologies, vector stores, and modern AI algorithms.
Possesses clear written and verbal communication competencies, enabling effective presentation of technical data findings to technical teams and non-technical stakeholders alike.
Exhibits strong interpersonal skills and a collaborative working approach, demonstrating the ability to integrate smoothly within cross-functional project squads.
Displays solid self-management capabilities, including proactive communication regarding task progress, project timeline execution, and workload management under supervision.
Shows basic familiarity with standard spreadsheet utilities, Microsoft Office tools, or digital analytics suites like Google Analytics and Adobe Analytics.
Additional info:
The position operates under a dedicated, full-time employment structure based physically on-site at Epsilon’s strategic technology hub located in Bengaluru, Karnataka, India.
Team members gain direct access to enterprise-grade analytical infrastructure, high-performance computing clusters, and proprietary, internet-scale customer data platforms.
The work culture actively emphasizes continuous professional development, providing structured avenues to upskill in emerging tools, LLM vector search architectures, and advanced data modeling.
The role offers direct exposure to global client engagements across diverse enterprise domains, enabling data scientists to observe real-world consumer impact driven by their models.
Employees benefit from being embedded within Publicis Groupe's wider international network, fostering unique opportunities for multi-disciplinary learning and career mobility.
The internal team culture prioritizes collaborative innovation, open knowledge exchange, peer code reviews, and structured mentorship from seasoned analytical leaders.
Data scientists are provided with the tools, hardware, and analytical freedom required to test creative hypotheses, explore novel algorithms, and build scalable data solutions.
Epsilon maintains an inclusive, growth-oriented environment designed to nurture enthusiastic quantitative minds into industry-leading data science professionals.
Selected candidates will engage in end-to-end analytical project lifecycles, spanning exploratory data analysis, data preparation, algorithmic development, validation, and executive readout delivery.
The position provides an exceptional launchpad for entry-level quantitative professionals seeking to build deep domain expertise at the intersection of big data, AI, and digital advertising.
Please click here to apply.
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