Data Science Research Senior Manager

"This role is in Accenture Research Global Data Science Team.

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

We offer a career aligned to our priority of creating innovation and impact, managing complex data driven research projects, with multinational and multidisciplinary teams. We provide opportunities for coaching, supervision and mentoring, as well as responsibilities to manage dedicated research budgets and relationships with external partners.

Key Responsibilities include:

Design, lead and deliver high impact data science/econometric projects focusing on business impact

Drive innovation on research projects collaborating closely with research leads, economists, survey experts as well as business stakeholders

Design and execute groundbreaking and differentiated data science assets

Foster the adoption of data science research tools and outputs within Accenture

Act as a Subject Matter Expert recognized inside and outside Accenture

Coach and mentor more junior data scientists

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:

• Recognized SME (incl. Python, Google Cloud, SQL, NLP, text analytics, data-wrangling, machine learning)
• Exposure to Generative AI algorithms would be a plus
• Significant track record in leading complex research projects using econometric modeling and data science.
• Strong interest in Technology and Business research
• Understanding of business dynamics and how to incorporate them into data science models
• 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
• Ability to address complexity in team management as well as project management
• Strong professional qualities: client focus, decisiveness, integrity, resilience to stress against stretch goals and deadlines
• Excellent communication (written and oral) and interpersonal skills
• Solid experience in the presentation of research deliverables to high level executives
• Excellent leadership and management skills
• Enthusiasm to work effectively in a global, multi-cultural team
• Experience in developing and coaching junior data scientists.