At a Glance
- Tasks: Lead innovative AI projects and shape customer experiences with cutting-edge technology.
- Company: Join Accenture, a global leader in professional services and technology.
- Benefits: Enjoy 30 days of leave, flexible work policies, and comprehensive health benefits.
- Other info: Collaborate with global brands and advance your career in a vibrant environment.
- Why this job: Make a real impact by transforming businesses with AI and data solutions.
- Qualifications: Experience in data strategy and AI implementation is essential.
The predicted salary is between 63000 - 77000 £ 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.
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.
- 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: 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: Participate in our world‑class training programmes.
- Drive your career progression: Engage in our structured career development programs.
- Collaborate with Global Brands: Work with famous brands and household names.
- Design reusable assets: Develop best practices for current and future business problems.
- Consult on complex analyses: Use advanced machine learning methods.
- Shape AI Strategy: Oversee the delivery of LLM based solutions.
- Develop others: Share your unique knowledge and skillsets with 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.
- Lead Generative AI Innovation and Prototyping: Architect early-stage generative AI initiatives, directing proof‑of‑concept (PoC) and prototype development.
- Deploy and Scale AI Solutions: Execute deployment strategies and provide technical guidance on containerization, performance monitoring, and production deployment.
- Ensure Responsible and Ethical AI: Collaborate with cloud vendors to integrate Responsible AI principles and standards into LLM evaluations and applications.
- Promote Innovation and Best Practices: Advocate for the adoption of cutting‑edge data technologies and methodologies.
- Lead Across Industries and Teams: Operate across multiple industries and business functions to deliver AI‑driven customer and marketing transformations.
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.
- 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.
About Accenture: Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale.
Equal Employment Opportunity Statement: We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law.
Data Science Manager - Marketing & Customer Generative AI Enterprise Architect in London employer: Stryker Corporation
Stryker Corporation is an exceptional employer that fosters a dynamic and inclusive work culture, offering employees the chance to thrive in a remote setting while being part of a leading medical communications team. With a strong emphasis on professional development and growth opportunities, employees are encouraged to enhance their skills and advance their careers, all while contributing to meaningful projects that impact healthcare globally.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science Manager - Marketing & Customer Generative AI Enterprise Architect in London
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We think you need these skills to ace Data Science Manager - Marketing & Customer Generative AI Enterprise Architect in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Stryker Corporation, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Stryker Corporation. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Stryker Corporation
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Stryker Corporation!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
