Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Analyze data, develop predictive models, and communicate insights to improve healthcare solutions.
- Company: Join Datatech, a top UK recruitment agency in analytics, known for innovation and impact.
- Benefits: Enjoy hybrid working, competitive salary, and referral bonuses for bringing friends on board.
- Why this job: Make a real difference in healthcare using cutting-edge data science techniques and collaborate with diverse teams.
- Qualifications: Experience in data science, strong Python skills, and knowledge of machine learning frameworks required.
- Other info: No visa sponsorship available; must be based in West Kent or Bristol.
The predicted salary is between 50000 - 65000 £ per year.
Data Scientist – ML & AI Projects – West Kent/Bristol
Competitive annual salary of between £50,000 and £65,000 dependent on experience
Hybrid working – West Kent or Bristol office base (2 days a week currently, expected to increase to 3 days)
Reference J12910
No Visa Sponsorship Available
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 Data Science Team. 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, TensorFlow 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!
Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.
Datatech is one of the UK’s leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data. For more information, visit our website: www.datatech.org.uk
Data Scientist - ML & AI Projects - West Kent/Bristol employer: Datatech Analytics
Contact Detail:
Datatech Analytics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - ML & AI Projects - West Kent/Bristol
✨Tip Number 1
Make sure to showcase your experience with machine learning and AI projects in your conversations. Highlight specific projects where you've applied statistical techniques or developed predictive models, as this will resonate well with the hiring team.
✨Tip Number 2
Familiarize yourself with the latest trends in data science and MLOps. Being able to discuss recent advancements or tools you've used can demonstrate your commitment to staying updated in this fast-evolving field.
✨Tip Number 3
Prepare to discuss how you translate complex data insights into actionable business strategies. Think of examples where your analysis led to significant decisions or improvements, as this is crucial for the role.
✨Tip Number 4
If you have any experience in the financial industry, especially insurance, be sure to mention it. This knowledge can set you apart from other candidates and show that you understand the specific challenges in that sector.
We think you need these skills to ace Data Scientist - ML & AI Projects - West Kent/Bristol
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 your skills in Python and any specific data science packages mentioned in the job description.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and its impact on the healthcare industry. Mention specific projects or experiences that demonstrate your ability to extract actionable insights from data.
Showcase Your Technical Skills: In your application, clearly outline your proficiency in statistical analysis, machine learning techniques, and any relevant tools like Scikit-learn, Keras, TensorFlow, and PySpark. Provide examples of how you've applied these skills in previous roles.
Highlight Collaboration Experience: Since the role involves working closely with cross-functional teams, include examples of past collaborations where you translated complex data findings into actionable business strategies. This will demonstrate your ability to communicate effectively with non-technical stakeholders.
How to prepare for a job interview at Datatech Analytics
✨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
During the interview, be ready to explain how you approach data analysis. Discuss your methods for gathering, cleaning, and interpreting data, and provide examples of how your insights have led to actionable business decisions.
✨Communicate Effectively with Non-Technical Stakeholders
Since you'll need to present findings to non-technical teams, practice explaining complex concepts in simple terms. Use visual aids or examples to illustrate your points and ensure your audience understands the implications of your work.
✨Stay Updated on Industry Trends
Show your passion for the field by discussing recent advancements in data science and machine learning. Mention any relevant articles, courses, or conferences you've attended, and how they could influence your work in this role.
