Data Science - Customer Data Modelling
Data Science - Customer Data Modelling

Data Science - Customer Data Modelling

London Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Join our team to solve real-world business problems using advanced machine learning methods.
  • Company: Accenture is a global leader in professional services, transforming organizations with digital capabilities.
  • Benefits: Enjoy 30 days vacation, gym subsidies, private medical insurance, and extra leave for charity work.
  • Why this job: Be part of an innovative culture that values diverse thinking and career growth opportunities.
  • Qualifications: Experience in data science, machine learning, and coding (Python preferred) is essential.
  • Other info: Flexibility and mobility are required; applications are welcome from all backgrounds.

The predicted salary is between 36000 - 60000 £ per year.

Position: Data Science – Customer Data Modelling Career Level: Consultant Location: London/Manchester/Newcastle/Edinburgh/Birmingham Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. As a 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 across 40 industries in more than 120 countries. You’ll learn, grow and advance in an innovative culture that thrives on shared success and diverse ways of thinking. In our team you will : Create, own and make it a reality for clients looking to better serve their connected customers. Become an integral part of our Applied Intelligence team. Work with famous brands and household names. Develop your skills with our world-class training programmes. Drive and implement real-world solutions into production. Collaborate with global teams to deliver the best solutions. Drive your career progression via structured career development programs. Align with our industry partners to develop your career. In this role you will: Solve challenging business problems using advanced machine learning methods. Understand business requirements and support the development of business cases. Run discovery analytics to identify new opportunities. Partner with developers to deploy machine learning algorithms. Define approaches to embed and scale machine learning models. Build reusable assets and develop best practices. Consult on complex analyses and advanced machine learning methods. Communicate and provide guidance to senior client leadership. Contribute data science expertise to new sales activities. Shape DS Strategy and the delivery of DS solutions. Operate across multiple industries and functions. Develop others by sharing your knowledge. We are looking for experience in the following skills: Relevant work experience in data science, machine learning, and business analytics. Practical experience in coding languages (Python preferred). Proficiency in database technologies (SQL, ETL, No-SQL, etc.). Experience with structured and unstructured data. Knowledge of machine learning modelling techniques. Experience using specialized machine learning libraries. Experience with Cloud technologies (AWS, GCP, Azure). Strong verbal/written communication & data presentation skills. Awareness of Large Language Models (LLMs) and a strong enthusiasm for continuous learning. Set yourself apart: Willingness and ability to learn quickly. Ability to build relationships with clients and stakeholders. Mastery of problem solving and solutioning. Proven history in statistics/mathematics/macroeconomics. What’s In It For You At Accenture, you will have an extensive benefits package which includes 30 days’ vacation per year, gym subsidy, private medical insurance, and 3 extra days leave per year for charitable work. Flexibility and mobility are required to deliver this role. About Accenture Accenture is a leading global professional services company that helps organizations build their digital core, optimize operations, and create lasting value. We combine unmatched experience and specialized capabilities across more than 40 industries. Accenture is an equal opportunities employer and welcomes applications from all sections of society. Application Deadline: Ongoing Accenture reserves the right to close the role should a suitable candidate be found. #J-18808-Ljbffr

Data Science - Customer Data Modelling employer: Accenture

Accenture is an exceptional employer that fosters a dynamic and inclusive work culture, offering extensive benefits such as 30 days of vacation, gym subsidies, and private medical insurance. With a strong emphasis on employee growth, you will have access to world-class training programs and structured career development opportunities, all while collaborating with renowned brands in vibrant cities like London, Manchester, Newcastle, Edinburgh, and Birmingham. Join us to be part of a transformative journey in the Data and AI revolution, where your contributions will make a real impact.
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Contact Detail:

Accenture Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Science - Customer Data Modelling

✨Tip Number 1

Familiarize yourself with the latest trends in data science and machine learning. Being able to discuss recent advancements or case studies during your interview can demonstrate your passion and knowledge in the field.

✨Tip Number 2

Network with professionals in the industry, especially those who work at Accenture or similar companies. Attend relevant meetups or webinars to connect with potential colleagues and learn more about the company culture.

✨Tip Number 3

Prepare to showcase your problem-solving skills through practical examples. Think of specific challenges you've faced in previous roles and how you applied data science techniques to overcome them.

✨Tip Number 4

Stay updated on cloud technologies and their applications in data science. Being knowledgeable about AWS, GCP, or Azure will not only help you in the role but also impress your interviewers.

We think you need these skills to ace Data Science - Customer Data Modelling

Data Science
Machine Learning
Business Analytics
Python Programming
SQL
ETL
No-SQL
Structured Data Analysis
Unstructured Data Analysis
Machine Learning Modelling Techniques
Specialized Machine Learning Libraries
Cloud Technologies (AWS, GCP, Azure)
Verbal and Written Communication Skills
Data Presentation Skills
Large Language Models (LLMs) Awareness
Continuous Learning Enthusiasm
Relationship Building with Clients and Stakeholders
Problem Solving
Statistics
Mathematics
Macroeconomics

Some tips for your application 🫡

Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Data Science - Customer Data Modelling position. Tailor your application to highlight relevant experiences and skills that align with the job description.

Highlight Relevant Experience: In your CV and cover letter, emphasize your experience in data science, machine learning, and business analytics. Provide specific examples of projects where you've used Python, SQL, or other relevant technologies to solve complex problems.

Showcase Communication Skills: Since strong verbal and written communication skills are essential for this role, ensure your application reflects your ability to present data and insights clearly. Consider including examples of how you've communicated complex analyses to stakeholders.

Express Enthusiasm for Learning: Accenture values continuous learning and adaptability. In your application, mention any recent courses, certifications, or self-directed learning you've undertaken in data science or related fields to demonstrate your commitment to professional growth.

How to prepare for a job interview at Accenture

✨Showcase Your Technical Skills

Be prepared to discuss your experience with data science, machine learning, and coding languages like Python. Bring examples of projects where you've successfully implemented machine learning algorithms or worked with structured and unstructured data.

✨Understand Business Context

Demonstrate your ability to connect technical solutions to business problems. Be ready to explain how your work can help clients better serve their customers and drive business value.

✨Communicate Clearly

Strong verbal and written communication skills are crucial. Practice explaining complex data science concepts in simple terms, as you may need to present your findings to senior client leadership.

✨Emphasize Continuous Learning

Accenture values a strong enthusiasm for continuous learning. Share examples of how you've kept up with industry trends, such as Large Language Models, and how you plan to further develop your skills in the future.

Data Science - Customer Data Modelling
Accenture
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  • Data Science - Customer Data Modelling

    London
    Full-Time
    36000 - 60000 £ / year (est.)

    Application deadline: 2026-12-31

  • A

    Accenture

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