At a Glance
- Tasks: Lead machine learning projects from concept to production in a dynamic financial consulting environment.
- Company: Join a leading financial consulting firm that values diversity and innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Diverse workplace that encourages underrepresented talent to apply.
- Why this job: Make a real impact by developing cutting-edge data solutions in a collaborative team.
- Qualifications: Proven experience in Python and cloud platforms like Azure, AWS, or GCP.
The predicted salary is between 60000 - 80000 £ per year.
Primis in Greater London is seeking an experienced Data Scientist to join a leading financial consulting firm's data practice. You will take ownership of machine learning projects from concept to production, collaborating with engineers and business stakeholders.
The ideal candidate has proven experience in building production-ready data solutions using Python, as well as proficiency in cloud platforms like Azure, AWS, or GCP. The firm values diversity and encourages underrepresented talent to apply.
Senior Data Scientist — Production ML & MLOps Lead in London employer: Primis
At Primis, we pride ourselves on being an exceptional employer in the heart of Greater London, offering a dynamic work culture that fosters innovation and collaboration. Our commitment to employee growth is evident through continuous learning opportunities and mentorship programmes, ensuring that you can advance your career while working on impactful machine learning projects. Join us to be part of a diverse team that values your unique contributions and supports your professional journey in the exciting field of financial consulting.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist — Production ML & MLOps Lead in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects and data solutions. This is your chance to demonstrate your expertise in Python and cloud platforms like Azure, AWS, or GCP.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining your past projects and how you collaborated with engineers and stakeholders to bring them to life.
✨Tip Number 4
Don't forget to apply through our website! We value diversity and want to see underrepresented talent shine. Your next big opportunity could be just a click away!
We think you need these skills to ace Senior Data Scientist — Production ML & MLOps Lead in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with machine learning projects and production-ready data solutions. We want to see how your skills in Python and cloud platforms like Azure, AWS, or GCP align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for the Senior Data Scientist role. Share specific examples of your past work and how it relates to the job description.
Showcase Your Collaboration Skills:Since this role involves working closely with engineers and business stakeholders, make sure to highlight any relevant teamwork experiences. We love seeing how you can bridge the gap between technical and non-technical teams!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from us during the process!
How to prepare for a job interview at Primis
✨Know Your Tech Stack
Make sure you’re well-versed in Python and the cloud platforms mentioned, like Azure, AWS, or GCP. Brush up on your knowledge of machine learning frameworks and be ready to discuss how you've implemented them in past projects.
✨Showcase Your Project Experience
Prepare to talk about specific machine learning projects you've led from concept to production. Highlight your role, the challenges you faced, and how you collaborated with engineers and stakeholders to deliver successful outcomes.
✨Understand the Business Context
Research the financial consulting firm and understand their business model. Be prepared to discuss how data science can drive value in their context, and think of examples where your work has positively impacted business decisions.
✨Emphasise Diversity and Inclusion
Since the firm values diversity, be ready to share your thoughts on how diverse teams contribute to better problem-solving and innovation. If applicable, mention any experiences you have that align with this value.
