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 wellbeing package.
- Other info: Collaborative team environment with opportunities for professional growth.
- Why this job: Make a tangible impact with cutting-edge AI and machine learning technologies.
- Qualifications: Expertise in statistical methods, Python, SQL, and shared data environments.
The predicted salary is between 60000 - 80000 € 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 in Glasgow 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 in Glasgow
✨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 insights into 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.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on statistical methods and coding challenges. We can even set up mock interviews with friends to boost our confidence.
✨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 skills align with SSE's needs.
We think you need these skills to ace Senior Data Scientist – ML in Production, Hybrid UK in Glasgow
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!
Showcase Your Skills:When writing your application, emphasise your expertise in statistical methods and coding in Python and SQL. We love seeing candidates who can demonstrate their technical prowess clearly.
Be Authentic:Let your personality shine through in your written application. We’re looking for someone who fits well with our team culture, so don’t be afraid to show us who you are!
Apply Through Our Website:For the best chance of success, make sure to apply directly through our website. It’s the easiest way for us to keep track of your application and get back to you quickly!
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 production and how they solved real business problems. This will show that you not only understand the theory but can also apply it effectively.
✨Show Off Your Coding Skills
Since coding in Python and SQL is crucial for this role, practice some coding challenges beforehand. You might be asked to solve a problem on the spot, so being comfortable with writing clean, efficient code will definitely give you an edge.
✨Understand the Business Context
Familiarise yourself with SSE's business model and the types of challenges they face. Think about how your skills in analytics and machine learning can directly contribute to their goals. This will help you tailor your answers and demonstrate your genuine interest in the company.
✨Prepare Questions
Interviews are a two-way street, so prepare insightful questions to ask your interviewers. Inquire about the team dynamics, the types of projects you'll be working on, and how success is measured in the role. This shows you're engaged and serious about the opportunity.
