Data Science Research Specialist

"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:

Support global data science research projects and client insights focusing on business impact.

Support the development of novel data-driven approaches to support current and future research projects.

Help in the design and execution of groundbreaking and differentiated data science approaches based on a combination of both GenAI and traditional Machine Learning.

Collaborate closely with research leads as well as business stakeholders to drive innovation on research projects

What we offer

Access to latest GenAI models, tools and the opportunity to build value using them

Flexible work environment (conditional on local policies)

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:

• Strong track record in data science research and tools and techniques (incl. Python, Google Cloud, SQL, NLP, text analytics, data-wrangling, machine learning)
• Exposure and knowledge of LLM models (e.g. Azure OpenAI, Llama, Gemini) and GenAI framework (e.g. Langchain) would be a plus
• Storytelling paired with a strong analytical skills and a proven ability to make sense out of data
• Strategic problem solver with the ability to take an issue and turn it into a researchable question
• Strong professional qualities: client focus, decisiveness, integrity, resilience to stress against stretch goals and deadlines
• Excellent communication (written and oral) and interpersonal skills
• Experience in the presentation of research deliverables to high level executives
• Enthusiasm to work effectively in a global, multi-cultural team

Education: Bachelor’s degree in Business Analytics, Statistics, Economics, Computer Science, Engineering or similar. Masters’ degree preferred.

Work Experience: 3+ to 6 years of relevant experience related to data science, GenAI and business insights"