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Data & AI Science Consultant

£28.4 - £32.7 per hourEstimated
Full-time

Job Description

Job Role : Data & AI Science Consultant
Location: London/Manchester/Edinburgh/Newcastle
Career Level
: Consultant

Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge.

We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too.

“Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and with the communities in which we work and live. It is personal to all of us.” - Julie Sweet, Accenture CEO

As a team:

The Data and AI revolution is changing everything. It’s everywhere - transforming how we work and play. Join Accenture and help transform leading organisations and communities around the world. Accenture Data and AI Scienceis driving these exciting changes and bringing them to life across 40 industries in more than 120 countries. The sheer scale of our capabilities and client engagements and the way we collaborate with the ecosystem, operate and deliver value provides an unparalleled opportunity to grow and advance.

Accenture’s Data and AI practice covers the range of Data and AI skills, from Strategy, Data Science, Data Architecture, AI Engineering and Visual Insights. When combined with Accenture’s broader Strategy and Consulting practice, we are able to bring together the unique ability to drive end to end business change through the application of Data and AI.

You'll learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways.

If you’re looking for a challenging career working in a vibrant environment with access to training and a global network of experts, this could be the role for you. As part of our global team, you'll be working with cutting-edge technologies and will have the opportunity to develop a wide range of new skills on the job.

In our team you will :
  • Be at the forefront of the industry, you’ll create, own and make it a reality for clients looking to better serve their connected customers and operate always-on enterprises.
  • Become an integral part of our Applied Intelligence team with the credibility, expertise and insight clients depend on.
  • Be working with famous brands and household names - no worrying about how to explain what you do to your family again!
  • Develop your skills with our world class training programmes.
  • Drive and implement real world solutions into production that drive business value to our clients.
  • Work alongside global teams to collaborate and deliver the best solutions for our clients.
  • Drive your career progression via our structured career development programs.
  • Align with our industry partners to develop your career and the solutions we deliver for our clients.
In this role you will:
  • 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.

Qualification

We are looking for experience in the following skills:
  • 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
Set yourself apart:
  • 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’s In It For You

At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes 30 days’ vacation per year, gym subsidy, private medical insurance and 3 extra days leave per year for charitable work of your choice!

ACNDataAI

ACNConsultX

Locations

London

Additional Information

Equal Employment Opportunity Statement

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

Accenture is committed to providing veteran employment opportunities to our service men and women.

Please read Accenture’s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.

About Accenture

We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.

We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.

At Accenture, we see well-being holistically, supporting our people’s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We’re proud to be consistently recognized as one of the World’s Best Workplaces™.

Join Accenture to work at the heart of change. Visit us at .
Vacancy posted 5 days ago
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