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- Tasks: Lead AI-driven projects, shape customer experiences, and implement data strategies.
- Company: Join Accenture Song, a leader in transforming businesses through innovative technology and creativity.
- Benefits: Enjoy a vibrant work culture, global training opportunities, and access to cutting-edge technologies.
- Why this job: Be at the forefront of AI innovation, making real-world impacts for top brands worldwide.
- Qualifications: Experience in data science, AI solutions, and strong communication skills are essential.
- Other info: Work remotely or from major UK cities and collaborate with global teams.
The predicted salary is between 60000 - 88000 £ per year.
Location: London/Manchester/Edinburgh/Newcastle/Birmingham
Career Level: Manager (L7)
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.
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 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.
In our team you will:
- Shape Customer and Marketing Experiences w/ Generative AI solutions: Be at the forefront of the industry — creating, owning, and making it a reality for clients looking to better serve their connected customers and operate always-on enterprises.
- Build essential data platforms, products, and capabilities that empower clients and colleagues.
- Set and implement the strategic vision for Applied Intelligence’s data ecosystem, including data science and engineering.
- Assess generative AI proposals, ensuring alignment with client needs, evaluating feasibility, stack compatibility, and build-vs-buy decisions.
- Work collaboratively with digital teams, senior architects, and stakeholders to design comprehensive AI solutions within the enterprise.
- Deliver Real-World Business Impact Drive and implement real-world solutions into production that drive measurable business value for our clients.
- Work alongside global teams to collaborate and deliver the best solutions for clients.
Grow Your Expertise and Career:
- Become an integral part of our Applied Intelligence team with the credibility, expertise, and insight clients depend on.
- Develop your skills with our world-class training programmes.
- Drive your career progression through our structured career development programs.
- Align with our industry partners to develop your career and the solutions we deliver for our clients.
Collaborate with Global Brands:
- Work with famous brands and household names — no worrying about how to explain what you do to your family again!
- Design 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.
- Shape AI Strategy and the delivery of LLM based solutions.
- Operate across multiple industries and functions.
- Develop others by bringing your unique knowledge and skillsets to the wider practice.
In this role you will:
- Define and Deliver Customer-Centric Data Strategies: Translate business needs into robust data solutions and own the data strategy, architecture, and engineering excellence within Applied Intelligence.
- Work closely with teams and senior architects to define strategies for AI solutions, ensuring alignment with client needs for impactful and effective implementations.
- Shape AI strategy and oversee the delivery of LLM-based solutions that enhance customer and marketing outcomes.
- Lead Generative AI Innovation and Prototyping: Architect early-stage generative AI initiatives, directing proof-of-concept (PoC) and prototype development in collaboration with teams.
- Act as a subject matter expert on generative AI, providing guidance to cross-functional teams including digital, platform, and governance stakeholders.
- Deploy and Scale AI Solutions: Execute deployment strategies and provide technical guidance on containerization, performance monitoring, and production deployment.
- Consult on leveraging cloud platforms like AWS, Azure, and GCP to facilitate scalable model deployment.
- Partner with developers and engineers to deploy machine learning algorithms that drive measurable business value.
- Ensure Responsible and Ethical AI: Collaborate with cloud vendors to integrate Responsible AI principles and standards into LLM evaluations and applications, ensuring ethical and secure AI deployment.
- Evaluate generative AI solutions across teams, identifying technical risks such as debt accumulation and overlapping initiatives.
- Promote Innovation and Best Practices: Advocate for the adoption of cutting-edge data technologies and methodologies, including AI-driven data processing, machine learning pipelines, and automated data integration.
- Design reusable assets, solutions, and develop best practices for current and future business problems.
- Consult on complex analyses and advanced machine learning methods to solve challenging business problems.
- Lead Across Industries and Teams: Operate across multiple industries and business functions to deliver AI-driven customer and marketing transformations.
- Communicate insights and provide strategic guidance to senior client leadership and internal teams.
- Mentor and develop others by sharing your unique expertise and skillsets with the wider Applied Intelligence practice.
Ind & Func AI Decision Science Manager employer: Accenture
Contact Detail:
Accenture Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Ind & Func AI Decision Science Manager
✨Tip Number 1
Network with professionals in the AI and data science fields. Attend industry events, webinars, or meetups to connect with people who work at Accenture or similar companies. This can give you insights into the company culture and potentially lead to referrals.
✨Tip Number 2
Stay updated on the latest trends in generative AI and data science. Follow relevant blogs, podcasts, and thought leaders on platforms like LinkedIn. This knowledge will not only help you in interviews but also demonstrate your passion for the field.
✨Tip Number 3
Prepare to discuss real-world applications of AI in business during your interviews. Think of examples where AI has transformed customer experiences or operational efficiencies, as this aligns with the role's focus on delivering measurable business impact.
✨Tip Number 4
Familiarise yourself with Accenture's projects and case studies related to AI and data science. Understanding their approach and success stories will allow you to tailor your discussions and show how you can contribute to their ongoing initiatives.
We think you need these skills to ace Ind & Func AI Decision Science Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, AI, and customer-centric strategies. Use keywords from the job description to demonstrate your fit for the role.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and data-driven decision-making. Mention specific projects or experiences that align with the responsibilities outlined in the job description.
Showcase Your Technical Skills: Include a section in your application that details your technical skills, particularly in generative AI, machine learning, and cloud platforms like AWS or Azure. Provide examples of how you've applied these skills in previous roles.
Highlight Collaborative Experience: Since the role involves working with cross-functional teams, emphasise any past experiences where you successfully collaborated with different stakeholders to deliver AI solutions or data strategies.
How to prepare for a job interview at Accenture
✨Understand the Role
Make sure you have a clear understanding of the Ind & Func AI Decision Science Manager role. Familiarise yourself with the key responsibilities and how they align with your skills and experiences. This will help you articulate why you're a great fit during the interview.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with data science, AI engineering, and generative AI solutions. Highlight specific projects where you've successfully implemented these technologies, as this will demonstrate your capability to deliver real-world business impact.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving abilities and strategic thinking. Think about past challenges you've faced in similar roles and how you approached them, particularly in relation to AI and data strategies.
✨Demonstrate Collaborative Spirit
Accenture values collaboration across teams and industries. Be ready to share examples of how you've worked effectively with cross-functional teams, including digital and platform stakeholders, to achieve common goals and drive innovation.
