At a Glance
- Tasks: Lead innovative AI projects and shape customer experiences with cutting-edge data solutions.
- Company: Join Accenture, a global leader in Data and AI transformation.
- Benefits: Access to world-class training, competitive salary, and career progression opportunities.
- Why this job: Be at the forefront of AI innovation and make a real impact on global brands.
- Qualifications: Experience in data science, AI strategy, and strong collaboration skills required.
- Other info: Dynamic environment with mentorship and growth across diverse industries.
The predicted salary is between 48000 - 84000 £ per year.
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.
The Data and AI revolution is changing everything. Join Accenture and help transform leading organizations 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.
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.
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.
- 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.
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.
- Shape AI Strategy and the delivery of LLM based solutions.
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.
- 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.
- Operate across multiple industries and business functions to deliver AI-driven customer and marketing transformations.
- Mentor and develop others by sharing your unique expertise and skillsets with the wider Applied Intelligence practice.
Data Science Manager - Marketing & Customer GenAI Enterprise Architect in City of London employer: Accenture UK & Ireland
Contact Detail:
Accenture UK & Ireland Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Manager - Marketing & Customer GenAI Enterprise Architect in City of London
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend events, join online forums, and don’t be shy to reach out on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your best work, especially projects related to data science and AI. This is your chance to demonstrate how you can drive real-world business impact, just like we do at StudySmarter.
✨Tip Number 3
Prepare for interviews by researching the company and its culture. Understand their approach to data and AI, and think about how you can contribute to their goals. We want to see your passion for transforming businesses through technology!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team and making an impact in the world of data and AI.
We think you need these skills to ace Data Science Manager - Marketing & Customer GenAI Enterprise Architect in City of London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Data Science Manager role. Highlight your experience in creative media, marketing strategy, and any relevant AI projects you've worked on. We want to see how you can bring your unique skills to our team!
Showcase Your Impact: When detailing your past experiences, focus on the measurable outcomes of your work. Did you drive significant business value through a project? Share those numbers! We love seeing how you've made a real-world impact.
Be Authentic: Let your personality shine through in your application. We’re looking for someone who fits into our vibrant culture, so don’t be afraid to show us what makes you unique. A bit of creativity goes a long way!
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way to ensure it gets into the right hands. Plus, you’ll find all the details about the role and our company there!
How to prepare for a job interview at Accenture UK & Ireland
✨Know Your Data Science Fundamentals
Brush up on your data science concepts, especially those related to marketing and customer analytics. Be prepared to discuss how you can leverage data to drive business value and enhance customer experiences.
✨Showcase Your Generative AI Knowledge
Familiarise yourself with generative AI applications relevant to marketing strategies. Be ready to share examples of how you've implemented or conceptualised AI solutions that align with client needs and business objectives.
✨Demonstrate Collaborative Skills
Highlight your experience working with cross-functional teams. Discuss specific projects where you collaborated with digital teams, architects, or stakeholders to deliver impactful AI solutions, showcasing your ability to communicate effectively.
✨Prepare for Ethical AI Discussions
Understand the principles of Responsible AI and be ready to discuss how you would integrate these into your work. Share your thoughts on ethical considerations in AI deployment and how they can affect client relationships and project outcomes.