At a Glance
- Tasks: Develop and deploy machine learning solutions to tackle real business challenges.
- Company: Join SSE plc, a leader in advanced analytics and innovation.
- Benefits: Flexible working options and a comprehensive benefits package for your wellbeing.
- Other info: Exciting opportunities for career growth in a dynamic team.
- Why this job: Make a tangible impact with cutting-edge AI technology in a collaborative environment.
- Qualifications: Expertise in statistical methods, Python, SQL, and experience in shared data environments.
The predicted salary is between 55000 - 70000 € per year.
SSE plc is seeking an Advanced Analytics professional to join their Reporting and Analytics team in Glasgow. You will work on developing and deploying machine learning and AI solutions, collaborating with various teams to address real business challenges.
The role requires expertise in statistical methods, coding in Python and SQL, and experience in shared data environments. SSE offers flexible working options and a range of benefits to support your wellbeing.
Senior Data Scientist – ML in Production, Hybrid UK employer: SSE PLC
SSE plc is an excellent employer for those looking to make a meaningful impact in the field of data science. With a strong focus on employee wellbeing, flexible working options, and a collaborative work culture, SSE fosters an environment where professionals can thrive and grow their skills in advanced analytics. The opportunity to work on innovative machine learning and AI solutions in Glasgow adds to the unique advantages of being part of a forward-thinking team dedicated to addressing real business challenges.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist – ML in Production, Hybrid UK
✨Tip Number 1
Network like a pro! Reach out to current or former employees at SSE plc on LinkedIn. A friendly chat can give us insider info about the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your machine learning projects, especially those using Python and SQL. This will help us demonstrate our expertise in real-world applications during interviews.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on statistical methods and coding challenges. We can use platforms like LeetCode or HackerRank to sharpen our skills.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our CV and cover letter to highlight how our experience aligns with the role at SSE.
We think you need these skills to ace Senior Data Scientist – ML in Production, Hybrid UK
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with machine learning and AI solutions. We want to see how you've tackled real business challenges, so don’t hold back on those examples!
Show Off Your Skills:When writing your application, emphasise your expertise in Python and SQL. We’re looking for someone who can code like a pro, so let us know about any projects where you’ve used these skills.
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so make sure your achievements and experiences are easy to read and understand.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at SSE PLC
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts and statistical methods. Be ready to discuss specific algorithms you've used in past projects and how they solved real business problems. This will show that you can apply your knowledge practically.
✨Show Off Your Coding Skills
Since coding in Python and SQL is key for this role, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice writing clean, efficient code and be ready to explain your thought process.
✨Understand the Business Context
Familiarise yourself with SSE's business model and the challenges they face. Think about how your skills in data science can help them achieve their goals. This will not only impress the interviewers but also help you tailor your answers to their needs.
✨Prepare Questions
Interviews are a two-way street, so come prepared with insightful questions about the team, projects, and company culture. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
