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- Tasks: Design and develop machine learning models to enhance healthcare decision-making.
- Company: Join RLDatix, a leader in transforming global healthcare delivery through innovative data solutions.
- Benefits: Enjoy flexible working options and a culture that prioritises employee wellness.
- Other info: We support inclusivity and provide accommodations for applicants with disabilities.
- Why this job: Make a real impact on patient safety while collaborating with a passionate global team.
- Qualifications: Bachelor's or master's degree in relevant fields and 3+ years of data science experience required.
The predicted salary is between 43200 - 72000 £ per year.
RLDatix is on a mission to transform care delivery worldwide, ensuring every patient receives the safest, highest-quality care. Through our innovative Healthcare Operations Platform, we’re connecting data to unlock trusted insights that enable improved decision-making and help deliver safer healthcare for all. At RLDatix we’re making healthcare safer, together. Our shared passion for meaningful work drives us, while a supportive, respectful culture makes it all possible. As a team, we collaborate globally to reach our ultimate goal—helping people.
We’re searching for a UK-based Data Scientist to join our Data Platform team, so that we can build and scale innovative data science solutions that power critical decisions across our organization. The Senior Data Scientist will lead the development of machine learning models and intelligent data systems to support RLDatix’s mission of enabling safer, more efficient healthcare worldwide.
How You’ll Spend Your Time:
- Designing and developing machine learning models, large language models, and algorithms to deliver meaningful insights from large datasets.
- Establishing and maintaining ETL workflows and data pipelines in order to ensure data consistency, quality, and usability across the platform.
- Optimizing machine learning models and AI systems to maximize performance, scalability, and real-world accuracy.
- Explaining complex data science concepts in order to engage stakeholders and promote data-driven decision-making across departments.
- Collaborating with engineers, QA, and product teams to align models and infrastructure with business goals.
What Kind of Things We’re Most Interested in You Having:
- A bachelor's or master's degree in computer science, Data Science, AI, Software Engineering, or a related field is preferred.
- 3+ years of experience in a data-science related role, with hands-on experience in data science engineering.
- Proficiency in programming languages such as Python and SQL.
- Experience with data processing and analysis tools and technologies like TensorFlow, Keras, Scikit-learn.
- Strong understanding of large language models (LLMs) and machine learning (ML) algorithms and techniques.
- Familiarity with data visualization tools such as Power BI.
- Solid understanding of statistical analysis and hypothesis testing.
- Ability to work with structured and unstructured data sources.
- Knowledge of cloud computing platforms (AWS, Azure) and data security measures, including compliance with data governance standards and big data technologies.
- Experience with Databricks and Mosaic AI is a plus.
By enabling flexibility in how we work and prioritising employee wellness, we empower our team to do and be their best. RLDatix is an equal opportunity employer, and our employment decisions are made without regard to race, color, religion, age, gender, sexual identity, national origin, disability, handicap, marital status or any other status or condition protected by UK law. As part of RLDatix’s commitment to the inclusion of all qualified individuals, we ensure that persons with disabilities are provided reasonable accommodation in the job application and interview process. If reasonable accommodation is needed to participate in either step, please don’t hesitate to send a note to accessibility@rldatix.com.
Data Scientist employer: RLDatix
Contact Detail:
RLDatix Recruiting Team
toaccessibility@rldatix.com
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarise yourself with RLDatix's mission and values. Understanding their commitment to transforming healthcare delivery will help you align your passion for data science with their goals, making it easier to convey your enthusiasm during discussions.
✨Tip Number 2
Brush up on your knowledge of machine learning models and large language models. Be prepared to discuss specific projects or experiences where you've successfully implemented these technologies, as this will demonstrate your hands-on expertise.
✨Tip Number 3
Network with current or former employees of RLDatix on platforms like LinkedIn. Engaging in conversations about their experiences can provide valuable insights into the company culture and expectations, which you can leverage during your interview.
✨Tip Number 4
Prepare to explain complex data science concepts in simple terms. Since the role involves engaging stakeholders, showcasing your ability to communicate effectively will highlight your fit for the collaborative environment at RLDatix.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly focusing on machine learning models and data processing tools. Use keywords from the job description to demonstrate your fit for the role.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for healthcare and data science. Explain how your skills align with RLDatix's mission and how you can contribute to their goal of safer healthcare.
Showcase Technical Skills: In your application, emphasise your proficiency in programming languages like Python and SQL, as well as your experience with tools such as TensorFlow and Keras. Provide specific examples of projects where you've applied these skills.
Prepare for Potential Questions: Anticipate questions related to your experience with machine learning algorithms and data visualisation tools. Be ready to discuss how you've used data to drive decision-making in previous roles.
How to prepare for a job interview at RLDatix
✨Showcase Your Technical Skills
Be prepared to discuss your experience with programming languages like Python and SQL, as well as your familiarity with tools such as TensorFlow and Scikit-learn. Highlight specific projects where you've successfully implemented machine learning models or data pipelines.
✨Understand the Company’s Mission
Research RLDatix's mission to transform care delivery and ensure patient safety. Be ready to explain how your skills and experiences align with their goals, particularly in developing data science solutions that enhance healthcare outcomes.
✨Prepare for Problem-Solving Questions
Expect to face technical questions that assess your problem-solving abilities. Practice explaining complex data science concepts clearly and concisely, as you may need to engage stakeholders who are not data experts.
✨Demonstrate Collaboration Skills
Since the role involves working with engineers, QA, and product teams, be ready to discuss your experience in collaborative environments. Share examples of how you've worked effectively in teams to achieve common goals, especially in data-driven projects.