Advanced Analytics/AI Analyst

Job Description

Job Title: Advanced Analytics / AI Analyst

Level: Sr. Analyst

Introduction

The Dock is a multidisciplinary research and incubation hub, where designers, doctors, visionaries and makers are doing things that matter for people, places and robots. Located in the heart of the Dublin Docklands in a connected, state-of-the-art workspace designed for creativity, collaboration and fun.

We are looking for an Advanced Analytics Analyst to join our growing team. Operating across all stages of the innovation spectrum, with a remit to build the future in real-time. The working environment is open and interactive, facilitating collaboration with colleagues, clients, customers and ecosystem partners. Our experimentation culture, combined with a disruptive brief empowers us to break future ground.

Are you ready to join top innovators making a global impact?

What You'll be doing.

An Analyst in the Centre for Innovation analytics group works as part of multi-disciplinary teams and collaborates with designers, other analytics team members, platform engineers, business subject matter experts and technology delivery teams to deliver strategic research projects from design to execution.

The nature of these projects changes as ideas and concepts mature, ranging from research, proofs-of-concept and the art-of-the-possible to the delivery of real-world applications for our clients.They work on the entire lifecycle of research projects; developing the designs with team leads, collaborating with business experts for business understanding, working with analytics consultants and platform engineers for solutions and with technology teams for prototyping and client implementations.

The Analyst should have a passion for data and technology, be prepared for a hands-on technical role and be hungry to learn and develop their skills. They will be expected to follow the key technology trends in the analytics domain, understand the related business implications and nurture and share new ideas. Your skills and qualifications

• Degree in Statistics, Mathematics, Computer science, or a related scientific discipline• Hands-on data analytics experience, ideally including exposure to areas such as statistical modeling, machine learning, data mining and unstructured data analytics• Knowledge of statistical and related tools/languages such as R, SAS, Python or similar• Awareness of techniques and tools for working with large data sets such as MapReduce, Hadoop, Hive and equivalent technologies• Experience with or exposure to Natural Language Processing, Machine Learning, Cognitive Computing or Artificial Intelligence is a plus• Ability to work in a global collaborative team environment• Proficient verbal and written communication skills in English.

About Accenture

Accenture is a global management consulting, technology services and outsourcing company, with more than 373,000 people serving clients in more than 120 countries. The Dock at Accenture is a multidisciplinary research and incubation hub, as an accelerator for Accenture and our clients to unlock value. Launched in Sept 2015, the global innovation centre brings together top talent under three disciplines; designers, developers and domain experts with expertise in AI, IoT, digital marketing, cyber security, advanced analytics and tech development. Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation or gender identity.

Please note that Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age citizenship, marital, domestic or civil partnership status, sexual orientation or gender identity.Accenture reserves the right to close the role prior to this date should a suitable applicant be found.