6d ago

Data & AI Science Consultant

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Quick Summary

Key Responsibilities

Solve challenging business problems using advanced machine learning methods such as Deep Learning and quantitative analytics. Understand business

Technical Tools

Other

Responsibilities

~1 min read

→Solve challenging business problems using advanced machine learning methods such as Deep Learning and quantitative analytics.
→Understand business requirements and support the development of business cases.
→Run discovery analytics to identify new and innovative opportunities.
→Partner with developers and engineers to deploy machine learning algorithms to deliver business value.
→Define approaches to embed and scale machine learning models.
→Build reusable assets, solutions and develop best practices for current and future business problems.
→Consult on complex analyses and advanced machine learning methods.
→Communicate and provide guidance to senior client leadership and teams.
→Contribute data science expertise to new sales activities.
→Shape DS Strategy and the delivery of DS solutions.
→Operate across multiple industries and functions.
→Develop others by bringing your unique knowledge and skillsets to the wider practice.

Relevant work experience in data science, machine learning, and business analytics
Practical experience in coding languages eg. Python, R, Scala, etc.; (Python preferred)
Proficiency in database technologies eg. SQL, ETL, No-SQL, DW, and Big Data technologies e.g. pySpark, Hive, etc.
Experienced working with structured and also unstructured data eg. Text, PDFs, jpgs, call recordings, video, etc.
Knowledge of machine learning modelling techniques and how to fine-tune those models eg. XGBoost, Deep Neural Networks, Transformers, Markov chains, etc.
Experience using specialized machine learning libraries e.g. Fastai, Keras, Tensorflow, pytorch, sci-kit learn, huggingface, etc.
Must demonstrate the capacity of reading, understanding and implementing new techniques in the field of machine learning as they emerge.
Experience of using Cloud technologies eg. AWS, GCP or Azure.
Specialised visualisation techniques eg. D3.js, ggplot etc.
Strong verbal/written communication & data presentation skills
Awareness of Large Language Models (LLMs) and a strong enthusiasm for continuous learning and staying updated with the latest advancements in the field

Willingness and ability to learn quickly and apply creative thinking to finding great solutions and drive their implementation
Ability to successfully build relationships with clients and stakeholders
Mastery of problem solving and solutioning
Proven history and background in statistics/mathematics/macroeconomics

What We Offer

~1 min read

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.