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- Tasks: Analyze data and develop predictive models to improve healthcare solutions.
- Company: Join a dynamic team making a real impact in the healthcare industry.
- Benefits: Enjoy hybrid working, competitive salary, and opportunities for professional growth.
- Why this job: Make a meaningful difference using your data skills in a supportive environment.
- Qualifications: Experience in data science, strong Python skills, and a solid statistical background required.
- Other info: 12-month Fixed Term Contract with potential for future opportunities.
The predicted salary is between 50000 - 65000 £ per year.
Data Scientist – ML & AI projects – 12-month FTC Competitive annual salary of between £50,000 and £65,000 dependent on experience Hybrid working – Bristol office base (2 days a week currently, expected to increase to 3 days) Reference J12885 Are you a talented and passionate Data Scientist looking to make a real impact in the healthcare industry? Our client is seeking a highly skilled individual to join our dynamic and innovative team on a 12-month Fixed Term Contract. You’ll have the opportunity to leverage your expertise in data analysis and machine learning to drive actionable insights and contribute to the development of cutting-edge solutions that improve the health and well-being of their customers. What you’ll be doing: • Gather and clean large volumes of structured and unstructured data from various sources. • Apply statistical, machine learning and traditional and generative AI techniques to analyse data, identify patterns, and develop predictive models. • Create visual representations of data to communicate insights and findings to non-technical stakeholders. • Interpret data analysis results to provide actionable insights and recommendations for business decisions. • Work closely with cross-functional teams to understand business needs, develop solutions, and implement data-driven strategies. • Stay updated with the latest trends and advancements in data science, machine learning, and related technologies to improve methodologies and processes. • Ensure compliance with data privacy regulations and ethical standards in handling sensitive information. What you’ll bring: • Previous applied experience within a data science role. • Demonstratable knowledge of extracting business value from data science using both quantitative and qualitative metrics. • Strong mathematical and statistical background. • An ability to understand and translate data into actionable insights for the business. • Strong working knowledge of Python and data science packages such as Scikit learn, Keras, Tensor flow and PySpark. • Good understanding of industry standard MLOps capabilities. • Understanding of the financial industry, in particular insurance, would be advantageous. If you’re excited about the prospect of using data to make a meaningful difference in people’s lives, we want to hear from you
Data Scientist - ML & AI Projects - 12 month FTC employer: Datatech
Contact Detail:
Datatech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - ML & AI Projects - 12 month FTC
✨Tip Number 1
Familiarize yourself with the latest trends in machine learning and AI, especially those relevant to healthcare. This will not only help you during interviews but also show your genuine interest in the field.
✨Tip Number 2
Network with professionals in the data science and healthcare sectors. Attend industry meetups or webinars to connect with potential colleagues and learn more about the challenges they face.
✨Tip Number 3
Prepare to discuss specific projects where you've applied machine learning techniques. Be ready to explain your thought process, the tools you used, and the impact of your work on business outcomes.
✨Tip Number 4
Showcase your ability to communicate complex data insights to non-technical stakeholders. Practice explaining your past projects in simple terms to demonstrate your communication skills.
We think you need these skills to ace Data Scientist - ML & AI Projects - 12 month FTC
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly with machine learning and AI projects. Emphasize any previous roles where you gathered and analyzed large datasets, as well as your proficiency in Python and data science packages.
Craft a Compelling Cover Letter: In your cover letter, express your passion for the healthcare industry and how your skills can contribute to improving health outcomes. Mention specific projects or experiences that demonstrate your ability to derive actionable insights from data.
Showcase Your Technical Skills: Clearly outline your technical skills related to data analysis, machine learning, and MLOps in your application. Provide examples of how you've used tools like Scikit-learn, Keras, TensorFlow, and PySpark in past projects.
Highlight Collaboration Experience: Since the role involves working closely with cross-functional teams, include examples of how you've successfully collaborated with others to develop data-driven solutions. This will show your ability to communicate insights effectively to non-technical stakeholders.
How to prepare for a job interview at Datatech
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and data science packages like Scikit-learn, Keras, TensorFlow, and PySpark. Highlight specific projects where you've applied these tools to solve real-world problems.
✨Demonstrate Your Analytical Thinking
Prepare examples of how you've gathered and cleaned data, applied statistical methods, and developed predictive models. Be ready to explain your thought process and the impact of your findings on business decisions.
✨Communicate Effectively with Non-Technical Stakeholders
Practice explaining complex data insights in simple terms. Think of ways to visualize your data analysis results that would resonate with non-technical team members, as this is crucial for collaboration.
✨Stay Updated on Industry Trends
Research the latest advancements in machine learning and data science, especially in the healthcare sector. Being knowledgeable about current trends will show your passion for the field and your commitment to continuous learning.
