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- Tasks: Develop and implement AI solutions to solve complex business challenges.
- Company: Join Accenture Song, a leader in driving growth through innovative customer experiences.
- Benefits: Enjoy world-class training, career development, and the chance to work with global teams.
- Why this job: Be at the forefront of AI innovation, working with famous brands and making a real impact.
- Qualifications: Mid-level experience in machine learning, data science, or related fields required.
- Other info: Work from various locations including London, Manchester, and more.
The predicted salary is between 43200 - 72000 £ per year.
Ind & Func AI Decision Science Team Lead/Consultant | Mid-Level | Full time
Position: Customer AI Developer Specialist
Career Level: Consultant (CL9)
Location: London/Manchester/Edinburgh/Newcastle/Birmingham
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
The Data & AI team is:
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.
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 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.
· Be working with famous brands and household names
· 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 AI Developer Specialist, you will:
Play a key part in delivering impactful Machine Learning (ML) and Generative AI solutions across a variety of industries and use cases. From solving complex business problems to deploying scalable AI models, you\’ll operate at the intersection of data science, technology, and business strategy.
Key Responsibilities
· Solve business challenges using advanced ML techniques such as deep learning and quantitative analytics
· Design and run experiments with generative AI models across text, images, audio, and video
· Consult on and implement algorithms for content generation
· Define strategies to embed, scale, and optimize Machine Learning (ML) models in production environments
· Stay up-to-date with emerging research and techniques in AI and Machine Learning (ML)
Business Impact & Collaboration
· Understand business requirements and support the development of use cases
· Run discovery analytics to identify opportunities for innovation
· Partner with engineers to deploy Machine Learning (ML) algorithms that deliver measurable value
· Contribute to sales activities by providing data science insights and shaping solutions
· Communicate technical concepts clearly to senior client leadership and non-technical teams
Innovation & Thought Leadership
· Build reusable assets and best practices to support future business problems
· Consult on complex data science analyses and strategic delivery models
· Shape overall data science strategy and guide delivery excellence
· Operate across industries and functions to apply Machine Learning (ML) to diverse challenges
· Mentor team members and share your expertise with the broader practice
Learn more about the hiring process at Accenture
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Customer AI Developer Specialist employer: Accenture
Contact Detail:
Accenture Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Customer AI Developer Specialist
✨Tip Number 1
Familiarise yourself with the latest trends in Machine Learning and Generative AI. Being able to discuss recent advancements or case studies during your interview can demonstrate your passion and knowledge in the field.
✨Tip Number 2
Network with professionals in the Data & AI space, especially those who work at Accenture or similar companies. Engaging in conversations about their experiences can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Prepare to showcase your problem-solving skills by discussing specific projects where you've successfully implemented ML solutions. Be ready to explain your thought process and the impact of your work on business outcomes.
✨Tip Number 4
Stay updated on the tools and technologies used in the industry, such as TensorFlow or PyTorch. Mentioning your proficiency with these tools can set you apart from other candidates and show your readiness for the role.
We think you need these skills to ace Customer AI Developer Specialist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in Machine Learning, Generative AI, and data science. Use keywords from the job description to demonstrate that you meet the specific requirements of the Customer AI Developer Specialist role.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and how your skills align with Accenture's mission. Mention specific projects or experiences that showcase your ability to solve complex business problems using advanced ML techniques.
Showcase Your Technical Skills: Include a section in your application that details your technical skills, particularly in areas like deep learning, quantitative analytics, and generative AI. Provide examples of how you've applied these skills in previous roles or projects.
Prepare for Potential Assessments: Be ready for possible technical assessments or case studies as part of the application process. Brush up on your knowledge of AI algorithms and be prepared to discuss how you would approach real-world business challenges using ML.
How to prepare for a job interview at Accenture
✨Understand the Role
Make sure you have a clear understanding of what a Customer AI Developer Specialist does. Familiarise yourself with key responsibilities such as deploying Machine Learning models and consulting on algorithms for content generation. This will help you tailor your answers to demonstrate your fit for the role.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with advanced ML techniques, generative AI models, and data science strategies. Bring examples of past projects where you've successfully implemented these technologies, as this will highlight your practical knowledge and problem-solving abilities.
✨Communicate Clearly
Since you'll be working with both technical and non-technical teams, practice explaining complex concepts in simple terms. During the interview, aim to convey your ideas clearly and confidently, ensuring that even those without a technical background can understand your insights.
✨Demonstrate Collaboration Skills
Accenture values teamwork, so be ready to share examples of how you've collaborated with others in previous roles. Discuss how you partnered with engineers or other stakeholders to deliver solutions, as this will show your ability to work effectively in a team-oriented environment.
