At a Glance
- Tasks: Analyse big data, develop predictive models, and collaborate with teams to drive business outcomes.
- Company: Join EY, a global leader in assurance and consulting, committed to building a better working world.
- Benefits: Enjoy flexible working, competitive pay, health perks, and opportunities for career growth.
- Other info: Embrace a diverse culture with continuous learning and hybrid working options.
- Why this job: Make a real impact by transforming data into strategic assets for diverse clients.
- Qualifications: Experience in data analytics, proficiency in Python and SQL, and strong problem-solving skills.
The predicted salary is between 50000 - 65000 € per year.
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.
EY exists to build a better working world, we empower our people by offering the culture, tech, teams, scale, challenges, learning, and the relationships for you to personalise and build your career, helping to create long‑term value for clients, people and society and build trust in the capital markets. This role can be located in our offices across Northern Ireland, working across assurance, consulting, law, strategy, tax and transactions.
The Team and the opportunity: As part of our Data Analytics and AI team, this role is pivotal in enabling our clients to derive significant value from their information assets. Through collaboration and domain expertise, our team embeds innovative data analytics solutions into existing business areas, transforming data into strategic assets. We are looking for a Data Scientist who is passionate about leveraging data to solve complex problems and drive business outcomes. You will play a key role in driving growth by developing new and existing client relationships and delivering first‑class customer experience on high‑profile engagements.
Your Key Responsibilities:
- Big Data Analysis: The capability to analyse large and complex datasets to extract actionable insights.
- Statistical Modelling: The ability to apply statistical techniques to extract insights, build predictive models, interpret data, and support data‑driven decision making.
- Collaboration: The ability to work closely with cross‑functional teams to develop, test, and deploy advanced machine learning models.
- Communication: The skill to effectively communicate complex analytical findings and model results to stakeholders.
- Continuous Learning: The ability to stay informed of the latest advancements in data science.
To qualify for the role, you must have:
- Experience: Hands‑on experience in building and deploying data analytics solutions.
- Technical Expertise: Proficiency in Python and SQL, with R experience considered essential.
- ML and AI: Practical experience using ML modelling libraries such as Scikit‑Learn, Keras, Tensorflow, PyTorch and similar.
- Knack: Development experience and front‑end design of Knack data solutions.
- API Integration: Development of APIs and real‑time data integration.
- Cloud Expertise: Building, deploying and monitoring data analytics solutions on cloud platforms such as Azure, AWS or GCP.
- Visualisation: Experience developing solutions using PowerBI or Tableau.
- Foundational Knowledge: A strong foundation in statistics, mathematics, AI principles and programming.
- Client Experience: Demonstrated history of working and delivering data projects for clients across sectors.
Ideally, you will also have:
- Problem‑Solving: Ability to translate business assumptions and rules into feature engineering and model explainability.
- Collaborative Development: Work under the guidance of senior data scientists and solution architects.
- Data Pipeline Management: Design, implement and maintain data pipelines critical for model training and deployment.
What Working At EY Offers: We offer a competitive remuneration package and a comprehensive Total Rewards package, including support for flexible working and career development.
Benefits include:
- Support and coaching from engaging colleagues.
- Opportunities to develop new skills and progress your career.
- The freedom and flexibility to handle your role in a way that’s right for you.
- Pension.
- Discounted health insurance.
- Web Doctor – free unlimited online GP consultations.
- Purchase of additional annual leave.
- Hybrid working.
- Free gym membership.
- Travel pass.
- Maternity & paternity leave.
- Bike to work scheme.
- Recognition awards.
- Cash incentives for referrals.
- Work mobile.
- TECH MBA paid by EY.
- Wellness rooms (available in some offices).
Career Progression: Support to enhance your skills from day one. Continuous learning to develop the mindset and skills to navigate whatever comes next.
About EY: As a global leader in assurance, tax, transaction and advisory services, we’re using the finance products, expertise and systems we’ve developed to build a better working world.
Inclusion & Diversity: We hold a collective commitment to foster an environment where all differences are valued and respected.
Ready to shape your future with confidence? Apply today.
Senior Consultant - Analytics Delivery - Assurance - Belfast - IOI employer: EY
At EY, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation. Our Belfast office provides a supportive environment with flexible working options, comprehensive benefits, and abundant opportunities for professional growth, ensuring that every team member can thrive while contributing to meaningful projects that shape the future. Join us to be part of a diverse team dedicated to building a better working world, where your voice is valued and your career aspirations are nurtured.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Consultant - Analytics Delivery - Assurance - Belfast - IOI
✨Tip Number 1
Network like a pro! Reach out to current or former EY employees on LinkedIn. Ask them about their experiences and any tips they might have for landing the Senior Consultant role. Personal connections can give you insights that a job description just can't.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Since this role involves big data analysis and statistical modelling, make sure you can confidently discuss your experience with Python, SQL, and machine learning libraries. Practice explaining complex concepts in simple terms!
✨Tip Number 3
Show off your problem-solving skills during interviews. Be ready to share specific examples of how you've tackled complex data challenges in the past. Use the STAR method (Situation, Task, Action, Result) to structure your answers and make them memorable.
✨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 EY and shaping a better working world with us.
We think you need these skills to ace Senior Consultant - Analytics Delivery - Assurance - Belfast - IOI
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Consultant role. Highlight your experience with data analytics, Python, and SQL, and don’t forget to showcase any relevant projects that demonstrate your problem-solving skills.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data analytics and how your skills align with EY’s mission to build a better working world. Keep it concise but impactful!
Showcase Your Communication Skills:Since communication is key in this role, make sure to highlight your ability to translate complex data insights into business language. Use examples from your past experiences where you successfully communicated findings to stakeholders.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way to ensure your application gets the attention it deserves, and you’ll find all the details you need right there!
How to prepare for a job interview at EY
✨Know Your Data Inside Out
Make sure you’re well-versed in the data analytics tools and techniques mentioned in the job description. Brush up on your Python, SQL, and any relevant machine learning libraries like Scikit-Learn or TensorFlow. Being able to discuss specific projects where you've applied these skills will show your hands-on experience.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex problems using data-driven solutions. Think about times when you translated business needs into analytical insights. This will demonstrate your ability to not just analyse data, but also to apply it strategically in a business context.
✨Communicate Like a Pro
Practice explaining complex analytical findings in simple terms. You’ll need to convey your insights to stakeholders who may not have a technical background. Use clear, concise language and be ready to answer questions that show your understanding of the business implications of your work.
✨Emphasise Collaboration
Since this role involves working with cross-functional teams, be prepared to discuss your experience collaborating with others. Share examples of how you’ve worked with different departments to develop and deploy data solutions, highlighting your teamwork and communication skills.
