Impress employers and recruiters.
Choose from hundreds of resume examples.

Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

Accenture's Data and AI practice is driving the data and AI revolution, transforming leading organizations and communities worldwide. We offer unparalleled opportunities for growth and advancement by combining extensive capabilities, client engagements, and ecosystem collaboration. Join us to shape the future of data and AI across 40 industries and over 120 countries.

Responsibilities

• Create, own, and implement solutions for clients seeking to better serve connected customers and operate always-on enterprises.
• Become an integral part of the Applied Intelligence team, providing credibility, expertise, and insight.
• Work with well-known brands and organizations.
• Develop skills through world-class training programs.
• Drive and implement real-world solutions that deliver business value to clients.
• Collaborate with global teams to deliver optimal client solutions.
• Advance career progression through structured development programs.
• Align with industry partners to develop career and client solutions.
• Solve challenging business problems using advanced machine learning methods like 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 for business value.
• Define approaches to embed and scale machine learning models.
• Build reusable assets, solutions, and develop best practices.
• 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 sharing unique knowledge and skillsets.

Requirements

• Relevant work experience in data science, machine learning, and business analytics.
• Practical experience in coding languages such as Python, R, Scala (Python preferred).
• Proficiency in database technologies like SQL, ETL, No-SQL, DW, and Big Data technologies such as pySpark, Hive.
• Experience working with structured and unstructured data (Text, PDFs, jpgs, call recordings, video, etc.).
• Knowledge of machine learning modeling techniques and model fine-tuning (e.g., XGBoost, Deep Neural Networks, Transformers, Markov chains).
• Experience using specialized machine learning libraries (e.g., Fastai, Keras, Tensorflow, pytorch, sci-kit learn, huggingface).
• Demonstrated capacity for reading, understanding, and implementing new machine learning techniques.
• Experience using Cloud technologies (e.g., AWS, GCP, or Azure).
• Experience with specialized visualization techniques (e.g., D3.js, ggplot).
• Strong verbal/written communication and data presentation skills.
• Awareness of Large Language Models (LLMs) and enthusiasm for continuous learning.
• Willingness and ability to learn quickly and apply creative thinking.
• Ability to build relationships with clients and stakeholders.
• Mastery of problem-solving and solutioning.
• Proven history and background in statistics/mathematics/macroeconomics.

Skills

• Data Science
• Machine Learning
• Business Analytics
• Python
• R
• Scala
• SQL
• ETL
• No-SQL
• DW
• Big Data
• pySpark
• Hive
• Text Data
• PDF Data
• JPG Data
• Call Recording Data
• Video Data
• XGBoost
• Deep Neural Networks
• Transformers
• Markov Chains
• Fastai
• Keras
• Tensorflow
• pytorch
• sci-kit learn
• huggingface
• AWS
• GCP
• Azure
• D3.js
• ggplot
• Communication
• Data Presentation
• Large Language Models (LLMs)
• Statistics
• Mathematics
• Macroeconomics

Location

• London
• Manchester
• Edinburgh
• Newcastle

Work Type

• Full-time

Experience Level

• Consultant

Benefits

• 30 days’ vacation per year
• Gym subsidy
• Private medical insurance
• 3 extra days leave per year for charitable work

About the Company

• Accenture is a leading global professional services company helping businesses, governments, and organizations build their digital core, optimize operations, accelerate revenue growth, and enhance citizen services.
• We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries.
• Technology is central to change, and Accenture is a leader in driving this change with strong ecosystem relationships.
• We combine technology and leadership in cloud, data, and AI with unmatched industry experience, functional expertise, and global delivery capability.
• Our services span Strategy & Consulting, Technology, Operations, Industry X, and Song.
• Our culture of shared success and commitment to creating 360° value enables clients to reinvent and build lasting relationships.
• We measure success by the 360° value created for clients, employees, shareholders, partners, and communities.

Equal Opportunity

• 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.