Data Science Associate Manager in London

Data Science Associate Manager in London

London Full-Time 55000 - 65000 € / year (est.) No home office possible
WeAreTechWomen

At a Glance

  • Tasks: Lead innovative data science projects and shape customer experiences with generative AI.
  • Company: Join Accenture, a global leader in technology and human ingenuity.
  • Benefits: Enjoy competitive salary, training opportunities, and a vibrant work culture.
  • Other info: Collaborate with global brands and advance your career in a dynamic environment.
  • Why this job: Make a real impact by transforming businesses with cutting-edge data solutions.
  • Qualifications: Experience in data science and a passion for AI technologies.

The predicted salary is between 55000 - 65000 € per year.

Location: London/Manchester/Edinburgh/Newcastle/Birmingham

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.

Data & AI 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.

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.

As a Data Science Associate Manager, you will:

  • Shape Customer and Marketing Experiences with 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 and lead the design of enterprise AI and data science solutions.

Deliver Real-World Business Impact:

  • 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.

Grow Your Expertise and Career:

  • Become an integral part of our 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.

In this role you will:

  • 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.
  • Lead Generative AI Innovation and Prototyping.
  • Support early-stage generative AI initiatives, helping design PoCs, prototypes, and model evaluation frameworks.
  • Deploy and Scale AI Solutions.
  • Drive model deployment activities, including containerization, testing, performance monitoring, and MLOps processes.
  • 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.
  • Contribute to the adoption of modern data science and AI technologies, including ML pipelines, feature engineering automation, and advanced data processing.
  • Lead Across Industries and Teams.

Locations: London

Data Science Associate Manager in London employer: WeAreTechWomen

Accenture is an exceptional employer, offering a vibrant work culture that prioritises innovation and inclusivity. With access to world-class training programmes and a global network of experts, employees are empowered to grow their careers while working on impactful data science and AI projects for leading brands. The company's commitment to well-being and professional development makes it an ideal place for those seeking meaningful and rewarding employment in the heart of major UK cities like London, Manchester, Edinburgh, Newcastle, and Birmingham.

WeAreTechWomen

Contact Detail:

WeAreTechWomen Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Science Associate Manager in London

Network Like a Pro

Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at Accenture. Building relationships can open doors that a CV just can't.

Show Off Your Skills

Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your data science projects or any generative AI solutions you've worked on. This will give potential employers a taste of what you can bring to the table.

Ace the Interview

Prepare for those interviews by practising common questions and scenarios related to data science and AI. Be ready to discuss how you've tackled challenges in the past and how you can contribute to Accenture's innovative culture.

Apply Through Our Website

Make sure to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, you’ll find all the latest roles and updates there.

We think you need these skills to ace Data Science Associate Manager in London

Data Science
Generative AI
Machine Learning
Data Engineering
Data Analysis
Cloud Platforms (AWS, Azure, GCP)
MLOps

Some tips for your application 🫡

Tailor Your Application:Make sure to customise your CV and cover letter for the Data Science Associate Manager role. Highlight your relevant experience in data science and AI, and show how your skills align with what we’re looking for at Accenture.

Showcase Your Projects:Don’t forget to include any projects or initiatives you've worked on that demonstrate your expertise in generative AI and data science. We love seeing real-world applications of your skills!

Be Clear and Concise:When writing your application, keep it clear and to the point. Use straightforward language to explain your experience and achievements, making it easy for us to see why you’d be a great fit.

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows your enthusiasm for joining our team at Accenture.

How to prepare for a job interview at WeAreTechWomen

Know Your Data Science Stuff

Make sure you brush up on your data science fundamentals. Be ready to discuss your experience with machine learning, generative AI, and data pipelines. Prepare examples of how you've used these skills in real-world scenarios, as this will show your practical understanding.

Understand the Company’s Vision

Familiarise yourself with Accenture's mission and values, especially around Data and AI. Knowing how they drive customer relevance and business transformation will help you align your answers with their goals during the interview.

Prepare for Scenario-Based Questions

Expect questions that ask you to solve hypothetical problems or case studies related to data science and AI. Practice articulating your thought process clearly, as this will demonstrate your analytical skills and ability to think on your feet.

Show Your Collaborative Spirit

Accenture values teamwork, so be prepared to discuss how you've worked with cross-functional teams in the past. Highlight any experiences where you collaborated with digital teams or stakeholders to deliver impactful solutions, as this will resonate well with their culture.