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- Tasks: Develop machine learning models and automate training pipelines for real-world applications.
- Company: Global engineering and technology business with a focus on innovation.
- Benefits: Fully remote work, competitive salary, and opportunities for international travel.
- Other info: Join a dynamic team and influence both technical direction and business outcomes.
- Why this job: Shape a new data science team and tackle impactful problems.
- Qualifications: Degree in a quantitative field and 5+ years of data science experience.
The predicted salary is between 60000 - 84000 £ per year.
We’re excited to be partnering with a global engineering and technology business to support the growth of a brand-new data science team within their R&D function. This is a great opportunity to join at an early stage and help shape how data and machine learning are used to deliver real value to customers. As a Data Scientist, you’ll join a newly formed scrum team alongside Data Engineers and DevOps specialists, working end-to-end from model development through to production deployment. Our client is looking for someone passionate about Data Science and research.
What you’ll be doing:
- Developing machine learning models using large, complex datasets to generate accurate predictive insights
- Building and refining automated training pipelines that continuously improve model performance
- Working closely with engineers and domain experts to translate data into practical solutions
- Communicating findings clearly to a range of stakeholders, both technical and non-technical
- Contributing to code reviews and helping establish best practices within the team
- Keeping up to date with emerging tools, techniques, and trends in data science
What skills you'll bring:
- A degree in Computer Science, Engineering, Physical Sciences, or another highly quantitative field
- Around 5+ years’ experience in a data science role, with a strong focus on machine learning
- Strong Python programming skills
- ML Ops experience
- Experience working with version control systems (e.g. Git)
- Exposure to cloud platforms and containerisation would be advantageous
- Strong communication skills in English; additional languages are a plus
Why this role stands out:
- You’ll be working on genuinely impactful problems with clear real-world applications
- You’ll play a key role in shaping a new, high-visibility data capability
- You’ll build systems that evolve and improve over time—not just one-off models
- You’ll have the opportunity to influence both technical direction and business outcomes
- Fully remote role, based anywhere in the UK or Europe
- Occasional international travel to customer sites
Conduco Resourcing is committed to supporting diversity and inclusion in the workplace and will do everything we can to ensure that our candidates are presented with equal opportunities.
Data Scientist employer: Conduco Resourcing
Contact Detail:
Conduco Resourcing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects and any relevant work you've done. This is your chance to demonstrate your expertise and passion for data science beyond just your CV.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and practising common data science questions. Be ready to discuss your past projects and how you’ve tackled challenges—this is where you can really shine!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for passionate data scientists like you. Plus, it’s a great way to stay updated on new opportunities that match your skills.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Data Scientist role. Highlight your machine learning projects and any relevant experience with Python and ML Ops. We want to see how you can bring value to our new data science team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data science and explain why you're excited about this opportunity. Let us know how your background aligns with the role and what unique insights you can bring to the team.
Showcase Your Communication Skills: As a Data Scientist, you'll need to communicate complex findings to various stakeholders. In your application, demonstrate your ability to convey technical information clearly and concisely. We love seeing candidates who can bridge the gap between tech and non-tech audiences!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and we’ll make sure your application gets into the right hands. Don’t miss out on this exciting opportunity to shape our data capabilities!
How to prepare for a job interview at Conduco Resourcing
✨Know Your Data Science Stuff
Make sure you brush up on your machine learning models and Python skills. Be ready to discuss specific projects you've worked on, especially those involving large datasets. This will show your passion and expertise in the field.
✨Showcase Your Communication Skills
Since you'll be communicating findings to both technical and non-technical stakeholders, practice explaining complex concepts in simple terms. Prepare examples of how you've done this in the past to demonstrate your ability to bridge the gap between data and practical solutions.
✨Familiarise Yourself with ML Ops
Given the emphasis on automated training pipelines and model deployment, make sure you understand ML Ops principles. Be prepared to discuss any experience you have with version control systems like Git and cloud platforms, as these are crucial for the role.
✨Stay Updated on Trends
The data science field is always evolving, so show that you're keeping up with emerging tools and techniques. Mention any recent trends or technologies you've explored and how they could apply to the role. This will highlight your commitment to continuous learning and improvement.