Customer Data Modelling Consultant

Accenture; City of Edinburgh; On-site; GBP 40,000 - 80,000; Full time

Job description

Job Role: Customer Data Modelling Consultant
Location: London/Manchester/Edinburgh/Newcastle
Career Level: Consultant (L9)

We Are: Accenture Song accelerates growth and value for our clients through sustained customer relevance. Our capabilities span ideation to execution: growth, product and experience design; technology and experience platforms; creative, media and marketing strategy; and campaign, content and channel orchestration. With strong client relationships and deep industry expertise, we help our clients operate at the speed of life through the unlimited potential of imagination, technology and intelligence. Visit us at: https://www.accenture.com/gb-en/about/accenture-song-index

As a Data & AI 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 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.

In the Data & AI 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.
• Work 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.

As a Customer Data Modelling Consultant, 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.
• Design and develop experiments with generative AI models and deep learning architectures.
• Consult on Implementing and optimizing algorithms for content generation, including text, images, audio, and video.
• Conduct research and stay up-to-date with the latest advancements in generative AI and machine learning.
• Ensure the scalability and efficiency of AI solutions in production environments.

We are looking for experience in the following skills:

• Relevant work experience in data science, machine learning, and business analytics.
• Some level of exposure to OpenAI, Bedrock, Huggingface, etc.
• Practical experience in coding languages e.g. Python, C++ etc.; (Python preferred).
• Proficiency in database technologies e.g. SQL, No-SQL and Big Data technologies e.g. pySpark, Hive, etc.
• Experience working with structured and unstructured data e.g. Text, PDFs, jpgs, call recordings, video, etc.
• Knowledge of machine learning modelling techniques and how to fine-tune those models e.g. XGBoost, Deep Neural Networks, Transformers, etc.
• Experience using specialized machine learning libraries e.g. Fastai, Keras, Tensorflow, pytorch, sci-kit learn 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 e.g. AWS, GCP or Azure.
• 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.
• Understanding on API Integration and cloud environment (AWS, GCP, AZURE).
• In-depth knowledge of machine learning algorithms, deep learning techniques, and neural network architectures.
• Excellent communication skills and the ability to explain complex technical concepts to non-technical stakeholders.

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:

Our Total Rewards consist of a competitive basic salary, annual performance bonus, opportunities to acquire equity and a wide range of health and wellbeing benefits. These include perks such as:

• 30 days of leave to spend each year plus 3 extra volunteering days per year for charitable work of choice.
• Family-friendly and flexible work policies.
• Attractive pension plan with financial wellbeing support and resources.
• Private healthcare insurance plan and Mental Wellbeing support.
• Employee Assistance Programme, Career Development and Counselling.
• A range of generous Parental Leave offerings.

Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners to enable delivery of the outstanding services we are known for.

Please note that with all our roles, you should expect some in-person time for collaboration, learning and building rapport with clients, peers, leaders and communities. As an employer, we will be as flexible as possible to support your specific work/life needs.