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For Companies At a Glance
- Tasks: Analyse data to uncover insights and tell compelling stories to stakeholders.
- Company: Join EY, a global leader in digital talent solutions.
- Benefits: Flexible work environment, world-class training, and diverse culture.
- Other info: Opportunity for global travel and collaboration with top professionals.
- Why this job: Make an impact with your data skills in a dynamic, inclusive team.
- Qualifications: Degree in a related field; experience in data analytics preferred.
The predicted salary is between 60000 - 80000 £ per year.
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 the digital insights team.
- Use quantitative and qualitative methods to identify new insights on important issues for the digital talent team and wider Talent.
- Collaborate effectively across the talent ecosystem, within the digital team and the firm at large.
- Strong communication skills for sharing thought leadership across EY and externally to enhance EY reputation.
- Strong organisational skills and attention to detail - the ability to operate within budget and effective time frames.
- Strong research and analytical skills to track and interpret trending directions for data analytics and also to identify potential future options.
- Ability to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment.
Supervision Responsibilities
- Work closely with the Leads across the Digital and wider Talent Functions to ensure the provision of services that support business and functional delivery.
- Develop digital capabilities, define key digital competencies for the team, and ensure provision of learning to advance skills.
- Independently maintain and leverage (when appropriate) an internal network, including effective partnerships with senior stakeholders, across EY practices/functions that will enable personal effectiveness in the position.
Other Requirements
- Due to the global nature of the role; travel and willingness to work alternative hours will be required.
- Due to the 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.
- Active membership in related professional bodies or industry groups is preferred, not required.
Experience
- Significant experience in a closely related Data analytics/data/insights driven role.
- Experience of developing and implementing operational standards and processes to achieve required outcomes.
- Experience of having worked on digital analytics design/process or analytical planning and development initiatives.
- Experience of developing digital capability, defining key digital competencies for the team, and ensuring provision of learning to advance skills.
- Demonstrable experience of collaborating with talent colleagues to understand needs/requirements and of shaping digital solutions.
- Demonstrable experience of working with third-party vendors/external system implementors to deliver reporting, insights and analytical solutions from design to enablement.
- Experience of leading and participating in global dispersed teams to enhance services, processes, and standards.
- Demonstrable experience of working in fast-paced, ambiguous, stressful environments to deliver required results.
- Demonstrable experience of anticipating issues and challenges and proactively working to navigate challenges.
- Experience of conducting internal and external research and analysis, providing best practices and insights to drive improvements.
- Demonstrable experience of having worked to lead or provide SMR advice to achieve successful change outcomes.
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.
Data Scientist Consultant, Assistant Director employer: EY
Contact Detail:
EY Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist Consultant, Assistant Director
✨Tip Number 1
Network like a pro! Reach out to current employees at EY or in similar roles on LinkedIn. Ask them about their experiences and any tips they might have for landing the job. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for the interview by practising your storytelling skills. You’ll need to communicate complex data insights clearly, so think of examples where you’ve done this before. We want to see how you can turn numbers into narratives!
✨Tip Number 3
Show off your analytical skills during the interview! Be ready to discuss specific projects where you used techniques like clustering or predictive modelling. We love hearing about real-world applications of your expertise.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining our team at EY!
We think you need these skills to ace Data Scientist Consultant, Assistant Director
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 analytics, text analytics, and any relevant projects that showcase your skills in a way that aligns with what we’re looking for.
Showcase Your Communication Skills: Since strong communication is key for this role, don’t shy away from demonstrating your ability to convey complex ideas clearly. Use examples from your past experiences where you’ve successfully communicated insights to stakeholders or led discussions.
Highlight Your Analytical Expertise: We want to see your analytical prowess! Be sure to mention specific techniques you’ve used, like multivariate regression or time series analysis, and how they’ve helped you derive business-relevant insights in previous roles.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at EY
✨Know Your Data Science Stuff
Make sure you brush up on your data science techniques, especially text analytics, clustering, and predictive modelling. Be ready to discuss how you've applied these methods in past projects and how they can be relevant to the role.
✨Craft Your Story
Prepare to share compelling stories about your previous work. Think about how you identified insights and communicated them to stakeholders. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
✨Show Off Your Communication Skills
Since strong communication is key for this role, practice explaining complex data concepts in simple terms. You might even want to do a mock interview with a friend to get comfortable with articulating your thoughts clearly.
✨Be Ready for Ambiguity
This role requires coping with ambiguity, so prepare examples of how you've navigated uncertain situations in the past. Highlight your problem-solving skills and adaptability to show that you can thrive in a fast-paced environment.