At a Glance
- Tasks: Use data science to uncover insights and drive strategic decisions for a global team.
- Company: Join EY, a leading firm shaping the future with innovative solutions.
- Benefits: Flexible work environment, world-class training, and diverse culture.
- Other info: Collaborate with global teams and enjoy excellent career growth opportunities.
- Why this job: Make an impact by transforming data into actionable insights for top executives.
- Qualifications: Experience in data science techniques and strong analytical skills required.
The predicted salary is between 60000 - 80000 £ per year.
Location: London
Other locations: Anywhere in Region
Date: 29 May 2026
Requisition ID:
At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.
The opportunity
The Data Scientist will be responsible for structuring the research question, determining the best analytical approach, conducting analyses, identifying business‑relevant insights, and creating a compelling story to be communicated to key stakeholders and talent executive leadership. The person will have expertise in data science, with a strong focus on techniques related to text analytics, clustering, time series analysis, multivariate regression, basic predictive modelling, and significance testing.
Essential Functions:
- Utilize data science to conduct research on business topics relevant for digital insights team.
- Use quantitative and qualitative methods to identify new insights on important issues for digital talent team and wider Talent & SL functional teams.
- Identify creative approaches to answer research questions.
- Rapidly test potential approaches.
- Co‑develop research plan.
- Collect and clean data.
- Continuous improvement and creation of predictive modelling taking new levers and environmental factors into account.
- Work on strategic and operational workforce planning modelling.
- Generate innovative analytical ideas by staying up to date on latest tools and methodologies.
- Provide subject matter expertise on key domain‑related topics.
- Enable the best‑fit implementation approach leveraging the core and evolving skills in the domain of data analytics.
- Champion the value of analytics and data‑driven approach across Talent.
- Design data & insights model to cater to data visualization.
- Perform analyses.
- Identify insights and communicate findings.
Analytical/Decision Making Responsibilities:
- Uses scientific methods and technologies to analyse data, develop models and deliver solutions to the business.
- Data modeling and Management, integration and manipulation of large disparate datasets.
- Translate complex analytical results into actionable recommendations.
Knowledge and Skills Requirements:
- Experience applying a broad range of data science techniques.
- Demonstrable understanding of statistics and mathematical concepts relevant to data science.
- Experience with data wrangling, cleansing, and data engineering for data science applications.
- Experience in Advanced Data Visualization tools.
- Ability to participate effectively in virtual teams and networks.
- Strong teaming skills; collaborate effectively across talent ecosystem.
- Strong communication skills for sharing thought leadership.
- Strong organizational skills and attention to detail.
- Strong research and analytical skills.
- Ability to cope with ambiguity.
Supervision Responsibilities:
- Work closely with the Leads across the Digital and wider Talent Functions.
- Develop digital capabilities, define key digital competencies for the team.
- Independently maintain and leverage an internal network.
Other Requirements:
- Due to global nature of the role; travel and willingness to work alternative hours will be required.
- Due to global nature of the role; English language skills - excellent written and verbal communication will be required.
Job Requirements
Education: Educated to degree level. Higher professional or masters qualification is preferred, not required.
Certification Requirements: Higher professional or masters qualification in a related discipline is preferred, not required.
Experience: Significant experience in a closely related Data analytics / data / insights driven role.
What we offer you: At EY, we’ll develop you with future‑focused skills and equip you with world‑class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams.
Are you ready to shape your future with confidence? Apply today.
To help create the best experience during the recruitment process, please describe any disability‑related adjustments or accommodations you may need.
EY | Building a better working world
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
Data Scientist Consultant, Assistant Director in London employer: Ernst & Young Advisory Services Sdn Bhd
At EY, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration among diverse teams. Our London office provides unparalleled opportunities for professional growth, with access to cutting-edge tools and methodologies in data science, while our commitment to inclusivity ensures that every voice is heard. Join us to not only advance your career but also contribute to building a better working world.
Contact Details:
Ernst & Young Advisory Services Sdn Bhd Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist Consultant, Assistant Director in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at EY through LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by practising common data science questions. Brush up on your Python and SQL skills, and be ready to discuss your past projects. We want to see how you think and solve problems!
✨Tip Number 3
Show off your analytical skills during the interview! Bring examples of your work, like visualisations or models you've created. This will help us see your thought process and how you approach data challenges.
✨Tip Number 4
Don’t forget to follow up after your interview! A quick thank-you email can leave a lasting impression and shows your enthusiasm for the role. Plus, it keeps you on our radar!
We think you need these skills to ace Data Scientist Consultant, Assistant Director in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Data Scientist Consultant role. Highlight your experience with data science techniques like text analytics and predictive modelling, as these are key to what we're looking for.
Showcase Your Skills:Don’t just list your skills; demonstrate them! Use specific examples from your past work that showcase your expertise in data wrangling, statistical analysis, and data visualisation tools. We want to see how you can bring value to our team.
Craft a Compelling Story:When writing your cover letter, think of it as your chance to tell a story. Explain how your background and experiences have shaped your approach to data science and how you can contribute to building a better working world with us.
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 EY!
How to prepare for a job interview at Ernst & Young Advisory Services Sdn Bhd
✨Know Your Data Science Techniques
Make sure you brush up on your knowledge of key data science techniques like text analytics, clustering, and predictive modelling. Be ready to discuss how you've applied these methods in past projects, as this will show your practical experience and understanding.
✨Prepare Your Storytelling Skills
Since you'll need to communicate complex insights to non-technical audiences, practice crafting a compelling narrative around your data analyses. Use examples from your previous work to illustrate how you turned data into actionable recommendations.
✨Familiarise Yourself with Tools
Get comfortable with the tools mentioned in the job description, such as Python, R, and advanced data visualisation platforms like PowerBI. Being able to demonstrate your proficiency with these tools during the interview can set you apart from other candidates.
✨Show Your Collaborative Spirit
Highlight your experience working in diverse teams and your ability to collaborate effectively. Prepare examples that showcase your teamwork skills, especially in virtual settings, as this role requires strong collaboration across different geographies.
