At a Glance
- Tasks: Conduct data analysis and create compelling insights for key stakeholders.
- Company: Join a global leader in digital talent solutions with a collaborative culture.
- Benefits: Flexible work environment, professional development, and diverse team culture.
- Other info: Opportunities for global collaboration and career advancement.
- Why this job: Make an impact by driving change through data science in a dynamic setting.
- Qualifications: Degree in a related field and experience in data analytics required.
The predicted salary is between 55000 - 65000 £ 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 digital insights team.
- Use quantitative and qualitative methods to identify new insights on important issues for digital talent team and wider Talent.
- Collaborate effectively across 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.
- 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.
- 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.
- 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.
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: Ernst & Young Advisory Services Sdn Bhd
At EY, we pride ourselves on being an exceptional employer, offering a dynamic and inclusive work culture that fosters collaboration and innovation. As a Data Scientist Consultant in Birmingham, you will have access to world-class training and development opportunities, empowering you to enhance your skills while working on impactful projects that shape the future of digital talent. Our commitment to flexibility and diversity ensures that you can thrive in a supportive environment, making EY not just a workplace, but a place where your career can flourish.
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
✨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 seeing how you’ve tackled real-world problems with data.
✨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 text analytics, clustering, and predictive modelling, as these are key skills we're looking for.
Showcase Your Communication Skills:Since strong communication is essential for this role, use your application to demonstrate how you've effectively shared insights or led discussions in previous positions. We want to see how you can tell a compelling story with data!
Be Detail-Oriented:Pay attention to the details in your application. Ensure there are no typos or formatting issues, as this reflects your organisational skills. We appreciate candidates who can operate within effective time frames and budgets.
Apply Through Our Website:We encourage you to apply directly through our website. This way, you’ll ensure your application reaches us quickly and efficiently, and you can easily keep track of your application status!
How to prepare for a job interview at Ernst & Young Advisory Services Sdn Bhd
✨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 a compelling narrative about your previous experiences. Think about how you can communicate complex data insights in a way that resonates with stakeholders. Practice explaining your findings clearly and concisely.
✨Show Off Your Collaboration Skills
This role requires working closely with various teams, so be prepared to share examples of how you've successfully collaborated in the past. Highlight any experience you have in leading or participating in global teams.
✨Be Ready for Ambiguity
Expect questions about how you handle uncertainty and change. Share specific instances where you've navigated complex situations and driven performance outcomes, showcasing your adaptability and problem-solving skills.
