ML Ops Data Scientist — Production & Strategy Lead in Bristol
ML Ops Data Scientist — Production & Strategy Lead

ML Ops Data Scientist — Production & Strategy Lead in Bristol

Bristol Full-Time 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Design and implement data models while ensuring smooth production operations.
  • Company: Leading analytics firm in the UK with a focus on innovation.
  • Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
  • Why this job: Make a real impact on business outcomes using your data science skills.
  • Qualifications: Strong expertise in Python and MLOps frameworks required.
  • Other info: Collaborative environment with opportunities to work closely with stakeholders.

The predicted salary is between 43200 - 72000 £ per year.

A leading analytics firm in the UK is seeking a skilled Data Scientist to design and implement models for production. This role requires strong expertise in Python and MLOps frameworks, as well as the ability to communicate technical concepts to non-specialists.

You will collaborate closely with stakeholders to identify opportunities where data science can add value and ensure smooth operation of production pipelines. This position offers a chance to significantly impact business outcomes.

ML Ops Data Scientist — Production & Strategy Lead in Bristol employer: Acuity Analytics

As a leading analytics firm in the UK, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to thrive. With a strong focus on professional development, we offer numerous growth opportunities and support for continuous learning, ensuring that our team members can advance their careers while making a meaningful impact on business outcomes. Join us to be part of a dynamic environment where your expertise in data science will be valued and celebrated.
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Contact Detail:

Acuity Analytics Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land ML Ops Data Scientist — Production & Strategy Lead in Bristol

Tip Number 1

Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We can’t stress enough how personal connections can lead to job opportunities, especially in niche fields like MLOps.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and MLOps frameworks. This gives potential employers a taste of what you can do and sets you apart from the crowd.

Tip Number 3

Prepare for interviews by brushing up on your communication skills. You’ll need to explain complex concepts to non-specialists, so practice breaking down your work into simple terms. We believe this will make a huge difference!

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always on the lookout for talented individuals who can help us drive impactful business outcomes.

We think you need these skills to ace ML Ops Data Scientist — Production & Strategy Lead in Bristol

Python
MLOps frameworks
Data Modelling
Communication Skills
Stakeholder Collaboration
Production Pipeline Management
Analytical Skills
Problem-Solving Skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience with Python and MLOps frameworks. We want to see how your skills align 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 add value to our team. Remember, we love seeing your personality come through!

Showcase Communication Skills: Since you'll be explaining technical concepts to non-specialists, make sure to highlight any experience you have in simplifying complex ideas. We appreciate candidates who can bridge the gap between tech and business!

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 our team!

How to prepare for a job interview at Acuity Analytics

Know Your Tech Inside Out

Make sure you brush up on your Python skills and MLOps frameworks before the interview. Be ready to discuss specific projects where you've implemented these technologies, as this will show your practical experience and understanding.

Communicate Like a Pro

Since you'll need to explain technical concepts to non-specialists, practice simplifying complex ideas. Use analogies or real-world examples to make your points clear. This will demonstrate your ability to bridge the gap between tech and business.

Showcase Your Collaboration Skills

Prepare examples of how you've worked with stakeholders in the past. Highlight instances where you identified opportunities for data science to add value. This will illustrate your teamwork and strategic thinking abilities.

Impact Matters

Be ready to discuss how your work has positively impacted business outcomes. Quantify your achievements where possible, as numbers can speak volumes. This will help the interviewers see the tangible benefits of your contributions.

ML Ops Data Scientist — Production & Strategy Lead in Bristol
Acuity Analytics
Location: Bristol

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