At a Glance
- Tasks: Lead innovative data science projects and shape customer experiences with generative AI solutions.
- Company: Join Accenture, a global leader in digital transformation and innovation.
- Benefits: Enjoy competitive salary, flexible work policies, and comprehensive health benefits.
- Other info: Access world-class training and career development opportunities in a vibrant environment.
- Why this job: Make a real impact by transforming businesses with cutting-edge data science and AI technologies.
- Qualifications: Experience in data science and strong collaboration skills are essential.
The predicted salary is between 75600 - 92400 £ per year.
We Are: Accenture Song accelerates growth and value for our clients through sustained customer relevance, 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 & AI team: The Data and AI revolution is changing everything. 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.
As a Data Science Associate Manager, you will:
- Shape Customer and Marketing Experiences w/ Generative AI solutions: Contribute to initiatives that use data science and generative AI to improve customer and marketing experiences for clients.
- Support the development of data platforms, data products, and capabilities that empower analytics and AI teams.
- Assist senior leaders in shaping elements of the strategic direction for practice’s data science and data engineering ecosystem.
- Help assess generative AI proposals by reviewing feasibility, data requirements, model considerations, and integration with existing technology stacks.
- Collaborate with digital teams, architects, and stakeholders to support & lead the design of enterprise AI and data science solutions.
- Develop your skills with our world-class training programmes.
- Drive your career progression through our structured career development programs.
- Work with industry partners to expand your exposure to modern data science tools and enterprise AI technologies.
Collaborate with Global Brands
- Work with leading global brands and household names on impactful data science and AI use cases.
- Support the creation of reusable data science assets, feature stores, model templates, and best‑practice frameworks.
- Consult on complex analyses and advanced machine learning methods.
- Help prepare communication materials and support discussions with senior client leaders and technical teams.
- Contribute to shaping AI strategies and supporting delivery of LLM‑based and data‑science‑driven solutions.
Define and Deliver Customer-Centric Data Strategies
- Translate business needs into data science and analytics requirements, supporting the development of scalable data pipelines and model‑ready datasets.
- Work with senior architects and data science leaders to help define AI and data strategies aligned with client objectives.
- Contribute to the development and delivery of LLM‑based and ML‑based solutions that improve customer and marketing outcomes.
Lead Generative AI Innovation and Prototyping
- Support early‑stage generative AI initiatives, helping design PoCs, prototypes, and model evaluation frameworks.
- Act as a knowledgeable resource on data science aspects of generative AI, collaborating with digital, platform, and governance stakeholders.
Deploy and Scale AI Solutions
- Drive model deployment activities, including containerization, testing, performance monitoring, and MLOps processes.
- Help utilise cloud platforms (AWS, Azure, GCP) for scalable data science and generative AI deployments.
- Work with engineers to support the deployment of machine‑learning algorithms that deliver tangible 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
- Contribute to the adoption of modern data science and AI technologies, including ML pipelines, feature engineering automation, and advanced data processing.
- Drive the creation of reusable data science assets, frameworks, and best practices.
- Assist in applying advanced machine‑learning techniques to solve complex business challenges.
Lead Across Industries and Teams
- Support the delivery of AI‑driven customer and marketing transformations across industries.
- Help communicate insights and contribute to strategic discussions with clients and internal teams.
- Share data science knowledge and collaborate on best practices.
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. 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. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries.
Data Science & AI Associate Director in London employer: Accenture
Accenture is an exceptional employer, offering a dynamic work culture in London that fosters innovation and collaboration. With competitive benefits like 30 days of vacation, access to fitness classes, and private medical insurance, employees are supported in achieving a healthy work-life balance while also having ample opportunities for professional growth and development within the rapidly evolving field of AI.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science & AI Associate Director in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Accenture!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Science & AI Associate Director at Accenture.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Accenture.
✨Apply Directly through Our Website
When you find a suitable opening like Data Science & AI Associate Director at Accenture, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Science & AI Associate Director 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 Accenture, 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 Accenture. 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 Accenture
✨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!
✨Showcase Your Projects
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 Accenture!
✨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.
