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- Tasks: Shape customer experiences with generative AI and drive real-world solutions.
- Company: Join a leading tech firm at the forefront of data science innovation.
- Benefits: Competitive salary, performance bonuses, flexible work policies, and generous leave.
- Other info: Opportunities for career growth and world-class training programmes.
- Why this job: Make a tangible impact on global brands using cutting-edge AI technologies.
- Qualifications: Experience in data science and strong collaboration skills required.
The predicted salary is between 60000 - 80000 £ per year.
Locations: London, Manchester, Edinburgh, Newcastle, Birmingham
Responsibilities:
- Shape Customer and Marketing Experiences with 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.
- 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 the 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 and lead the design of enterprise AI and data science solutions.
- Drive and support 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.
- Become an integral part of our team with credibility, expertise, and insight clients depend on.
- Develop your skills with our world-class training programmes.
- Drive your career progression through structured career development programs.
- Work with industry partners to expand exposure to modern data science tools and enterprise AI technologies.
- 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.
- Operate across multiple industries and functions.
- Develop others by bringing your unique knowledge and skillsets to the wider practice.
- 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.
- 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.
- Drive model deployment activities, including containerization, testing, performance monitoring, and MLOps processes.
- Help utilize 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.
- 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.
- 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.
- 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.
Benefits:
- Total Rewards: competitive basic salary, annual performance bonus, opportunities to acquire equity.
- 25 days of leave per 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.
Data Science Associate Manager in 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 Associate Manager in London
✨Tip Number 1
Network like a pro! Get out there and connect with people in the data science field. Attend meetups, webinars, or industry events to meet potential employers and learn about job openings that might not be advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving generative AI and data science solutions. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common data science questions and case studies. Practice explaining your thought process clearly, as communication is key when discussing complex analyses and machine-learning methods.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets noticed by the right people.
We think you need these skills to ace Data Science Associate Manager in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Data Science Associate Manager role. Highlight your experience with generative AI, data platforms, and any relevant projects you've worked on.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data science and how you can contribute to shaping customer experiences. Be specific about your achievements and how they relate to our mission at StudySmarter.
Showcase Your Technical Skills: Don’t forget to mention your proficiency with cloud platforms like AWS, Azure, or GCP, as well as any advanced machine-learning techniques you’ve applied. We want to see how you can drive real-world solutions into production!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Accenture UK & Ireland
✨Know Your Generative AI Inside Out
Make sure you brush up on the latest trends and technologies in generative AI. Be prepared to discuss how these solutions can enhance customer and marketing experiences, as well as how they integrate with existing tech stacks.
✨Showcase Your Data Science Skills
Be ready to demonstrate your expertise in data science methodologies and machine learning techniques. Prepare examples of past projects where you've successfully applied these skills to solve complex business challenges.
✨Collaborate Like a Pro
Highlight your experience working with cross-functional teams. Discuss how you've collaborated with digital teams, architects, and stakeholders to design and implement effective AI and data science solutions.
✨Prepare for Strategic Discussions
Think about how you would contribute to shaping AI strategies and delivering impactful solutions. Be ready to share insights on translating business needs into data science requirements and how you can support senior leaders in strategic decision-making.