Data Science Consultant - Edinburgh

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 Science is 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.

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!

About Accenture: Accenture is a leading global professional services company that helps the world’s leading organizations build their digital core, optimize their operations, accelerate revenue growth and enhance services—creating tangible value at speed and scale. We are a talent- and innovation-led company with 774,000 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.

Equal Employment Opportunity Statement: All employment decisions shall be made without regard to age, race, creed, colour, 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 applicable law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.