At a Glance
- Tasks: Lead data science projects and develop AI/ML models for impactful business insights.
- Company: Dynamic organisation in Coventry with a focus on innovation and collaboration.
- Benefits: Competitive day rate, hybrid work model, and opportunities for professional growth.
- Other info: Join a fast-paced environment with a strong emphasis on ethical practices.
- Why this job: Make a real difference by leveraging data to solve complex business challenges.
- Qualifications: Experience in data science, AI, and machine learning required.
The predicted salary is between 102600 - 102600 € per year.
Location: Coventry, UK (Hybrid - 3 days per week onsite)
Day Rate: £510 per day - Inside IR35
Contract Duration: 6 months
Start Date: ASAP
The Role: We are seeking a Senior Data Scientist to enhance the organisation's intelligence capability, enabling insight-driven decision making through the organisation, analysis, modelling and interpretation of complex data sets. You will design and build data products using innovative Artificial Intelligence and Machine Learning techniques, delivering measurable business impact within a fast-paced, agile environment.
Key Responsibilities:
- Quickly grasp complex business challenges and identify how data, AI and ML can be leveraged to address them.
- Lead end-to-end delivery of complex data science projects from ideation through to deployment, monitoring and support.
- Develop and deploy advanced machine learning, statistical and AI models using scalable cloud platforms (e.g. Azure Machine Learning, Databricks).
- Ensure models are explainable, ethical and aligned with regulatory and business standards.
- Own the full model lifecycle, including monitoring, retraining and performance optimisation.
- Establish and enforce best practices for model governance, version control and documentation.
- Collaborate with data engineers to design scalable data pipelines and ensure data quality and availability.
Data Scientist employer: Stott & May Professional Search
As a Senior Data Scientist at our Coventry location, you will thrive in a dynamic and innovative work culture that prioritises collaboration and continuous learning. We offer competitive day rates, flexible hybrid working arrangements, and a commitment to employee growth through access to cutting-edge technology and professional development opportunities. Join us to make a meaningful impact by leveraging your expertise in AI and machine learning within a supportive environment that values ethical practices and data-driven decision making.
Contact Detail:
Stott & May Professional Search 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 fellow data scientists and industry professionals on LinkedIn. Join relevant groups and participate in discussions to get your name out there and learn about hidden job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those involving AI and ML. This will give potential employers a taste of what you can do and set you apart from the competition.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in data science. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with non-technical stakeholders.
✨Tip Number 4
Don't forget to apply through our website! We often have exclusive listings that might not be found elsewhere. Plus, it shows you're genuinely interested in joining our team and makes it easier for us to connect with you.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Scientist role. Highlight your experience with AI and ML, and don’t forget to mention any relevant projects that showcase your skills in handling complex data sets.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this role. Mention specific challenges you've tackled in the past and how you used data to drive decisions.
Showcase Your Technical Skills:We want to see your technical prowess! Be sure to list your experience with cloud platforms like Azure Machine Learning and any tools you’ve used for model governance and version control.
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 see what you bring to the table!
How to prepare for a job interview at Stott & May Professional Search
✨Know Your Data Inside Out
Before the interview, dive deep into the types of data you’ve worked with. Be ready to discuss specific projects where you applied AI and ML techniques. Highlight how your insights led to impactful decisions, as this will show your ability to grasp complex business challenges.
✨Showcase Your Project Management Skills
Prepare to talk about your experience leading data science projects from start to finish. Use the STAR method (Situation, Task, Action, Result) to structure your answers, focusing on how you managed timelines, collaborated with teams, and ensured successful deployment of models.
✨Demonstrate Ethical Considerations
Be prepared to discuss how you ensure your models are explainable and ethical. Bring examples of how you've aligned your work with regulatory standards and best practices in model governance. This shows that you’re not just technically skilled but also responsible.
✨Brush Up on Technical Skills
Since the role involves using platforms like Azure Machine Learning and Databricks, make sure you’re familiar with these tools. You might be asked to solve a technical problem or discuss your approach to model optimisation, so practice articulating your thought process clearly.
