At a Glance
- Tasks: Drive AI and data science initiatives to enhance research and health outcomes.
- Company: Join Elsevier, a leader in trusted content and analytics.
- Benefits: Enjoy hybrid working, competitive salary, and professional growth opportunities.
- Other info: Be part of a dynamic team focused on innovation and collaboration.
- Why this job: Make a real impact in advancing intelligent discovery and generative AI.
- Qualifications: Proven experience in data science and AI technologies.
The predicted salary is between 60000 - 80000 £ per year.
About the team: Elsevier’s mission is to help researchers, clinicians, and life sciences professionals advance discovery and improve health outcomes through trusted content, data, and analytics. This role sits within Elsevier’s Platform Data Science organization, a centralized AI and data science group responsible for advancing intelligent discovery, retrieval, and generative AI capabilities across Elsevier products and platforms. The organization develops foundational AI technologies that power experiences such as LeapSpace, Elsevier’s AI-powered research assistant, as well as Elsevier’s broader Search.
Senior Data Scientist employer: Elsevier
At Elsevier, we pride ourselves on being an excellent employer, particularly for our Java Software Engineer role in Oxford. Our vibrant work culture fosters collaboration and innovation, while our commitment to employee growth is evident through continuous learning opportunities and flexible working arrangements that promote a healthy work-life balance. Join us to be part of a team that values your contributions and supports your professional journey in the exciting field of scientific knowledge sharing.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Network like a pro! Reach out to current employees at Elsevier on LinkedIn or attend industry events. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data science projects, especially those involving AI and analytics. We want to see how you can contribute to advancing intelligent discovery.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your data science concepts and coding skills. We recommend mock interviews with friends or using online platforms to simulate the experience.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our mission to improve health outcomes through data.
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Scientist role. Highlight your experience with AI and data science, especially any projects that align with Elsevier’s mission. We want to see how your skills can help us advance intelligent discovery!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data science and how you can contribute to our team. Don’t forget to mention specific technologies or methodologies you’ve worked with that relate to our work at Elsevier.
Showcase Relevant Projects:If you’ve worked on any relevant projects, make sure to include them in your application. Whether it’s a personal project or something from your previous job, we love seeing practical examples of your skills in action!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take the initiative to connect with us directly!
How to prepare for a job interview at Elsevier
✨Know Your Data Science Fundamentals
Brush up on your core data science concepts, especially those related to AI and machine learning. Be prepared to discuss algorithms, data structures, and statistical methods that are relevant to the role. This will show your depth of knowledge and how you can contribute to advancing intelligent discovery.
✨Familiarise Yourself with Elsevier's Products
Take some time to explore Elsevier’s platforms, like LeapSpace and their search capabilities. Understanding how these products work and the challenges they face will allow you to tailor your answers and demonstrate your genuine interest in the company’s mission.
✨Prepare for Technical Questions
Expect technical questions that may involve coding or problem-solving on the spot. Practise common data science problems and be ready to explain your thought process clearly. This will help the interviewers see how you approach challenges and apply your skills in real-time.
✨Showcase Your Collaborative Spirit
Since this role is part of a centralized team, highlight your experience working collaboratively on projects. Share examples of how you've worked with cross-functional teams to achieve goals, as this will resonate well with Elsevier’s focus on teamwork and innovation.
