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- Tasks: Drive data projects and derive actionable insights from large datasets.
- Company: Leading engineering services firm in Birmingham with a focus on innovation.
- Benefits: Competitive benefits, hybrid work environment, and growth opportunities.
- Why this job: Join a dynamic team and make an impact in the data science field.
- Qualifications: Experience in data science, programming (Python), and machine learning knowledge.
- Other info: Detail-oriented candidates will thrive in this collaborative role.
The predicted salary is between 30000 - 42000 £ per year.
A leading engineering services firm in Birmingham is looking for a Data Science Consultant to drive the full data project life cycle. The role requires experience in data science, programming skills (preferably Python), and knowledge of machine learning frameworks. Candidates should be detail-oriented and skilled in handling large datasets to derive actionable insights. The role offers opportunities for growth with competitive benefits in a hybrid work environment.
Data Science Consultant — Hybrid, Client‐Facing Analytics in Birmingham employer: SNC-Lavalin
Contact Detail:
SNC-Lavalin Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Consultant — Hybrid, Client‐Facing Analytics in Birmingham
✨Tip Number 1
Network like a pro! Reach out to professionals in the data science field on LinkedIn or at local meetups. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those using Python and machine learning frameworks. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data science questions and case studies. We recommend practising with friends or using mock interview platforms to build your confidence and refine your answers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Science Consultant — Hybrid, Client‐Facing Analytics in Birmingham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science and programming skills, especially in Python. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data science and how you can drive the full data project life cycle. Let us know what excites you about working in a hybrid environment with our team.
Showcase Your Skills: When applying, make sure to mention any experience you have with machine learning frameworks and handling large datasets. We love detail-oriented candidates who can derive actionable insights, so give us examples of how you've done this in the past!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It’s the best way for us to receive your application and get to know you better. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at SNC-Lavalin
✨Know Your Data Science Fundamentals
Make sure you brush up on your data science basics, especially around machine learning frameworks. Be ready to discuss your experience with Python and how you've applied it in past projects. This will show that you’re not just familiar with the concepts but can also implement them effectively.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex data challenges. Think about a project where you derived actionable insights from large datasets. This will demonstrate your analytical thinking and ability to drive results, which is crucial for a client-facing role.
✨Understand the Company’s Needs
Research the engineering services firm and understand their projects and clients. Tailor your responses to show how your skills can directly benefit their operations. This will help you stand out as someone who is genuinely interested in contributing to their success.
✨Ask Insightful Questions
Prepare thoughtful questions about the role and the company’s approach to data science. This not only shows your enthusiasm but also helps you gauge if the company culture and work environment align with your career goals. It’s a two-way street, after all!
