Data Science Research Senior Analyst

This role is in Accenture Research Global Data Science Team.

We are looking for a data scientist with deep business knowledge and a research mindset and a passion for data-driven insight discovery.

We offer a career aligned to creating innovation and client’s impact, managing complex data driven research projects, with multinational and multidisciplinary teams. Our team constantly explores the latest GenAI models to identify novel business opportunities, we are a global and integrated team with a high degree of work flexibility (conditional on local laws and policies). We provide opportunities to learn new skills through coaching, supervision, mentoring and external trainings.

Key Responsibilities include:

Design and deliver high impact agentic GenAI and Machine Learning research projects to our client teams. Drive innovation collaborating closely with industry leads, innovation experts, and business stakeholders Develop groundbreaking and differentiated GenAI and Machine Learning assets. Support the adoption of data science research tools and outputs within Accenture

What we offer:

We have access to 100+ business data sources through our research data lake. We are constantly expanding our universe of data from commercial and open sources and partnering with premium data providers to improve quality of inputs into our models. We provide several unique training opportunities to continue your growth, including both internal trainings, on the job, personal exploration time to work on novel methodologies without the constraints of a projects and with leading universities.

Experience and skills:

o Expertise in developing and building GenAI agentic architecture. Knowledge of Gemini ADK is a plus. o Experience in adopting GenAI model APIs both for app development and as data analytics tool. o Knowledge of GCP, VertexAI and Agent Garden. o Knowledgeable Data Science SME (GenAI, Machine Learning, Python, Google Cloud, SQL, NLP, text analytics, data-wrangling, etc…) o Understanding of business dynamics and how to incorporate them into data science models o Strong analytical skills and a proven ability to make sense out of data o Strategic problem solver with the ability to take an issue and turn it into a researchable question o Strong professional qualities: client focus, decisiveness, integrity, resilience to stress against stretch goals and deadlines o Excellent communication (written and oral) and interpersonal skills o Solid experience in the presentation of research deliverables to high level executives o Enthusiasm to work effectively in a global, multi-cultural team