At a Glance
- Tasks: Lead data science initiatives and drive AI innovations for impactful research.
- Company: Join Elsevier, a diverse and inclusive employer committed to equality.
- Benefits: Enjoy country-specific perks, including well-being support and career development.
- Other info: Be part of a supportive environment that values diversity and inclusion.
- Why this job: Make a difference in science and research while advancing your career.
- Qualifications: Proven experience in data science leadership and a passion for innovation.
The predicted salary is between 60000 - 80000 £ per year.
This job is with Elsevier, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community.
Data Science Leader AI for Science, Research Intelligence.
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
We never request money or banking details from job applicants. Please read our Candidate Privacy Policy. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
Senior Manager, Data Science employer: Elsevier
At Elsevier, we pride ourselves on being an inclusive employer that values diversity and promotes a supportive work culture. As a Senior Manager in Data Science, you will benefit from tailored country-specific perks, ample opportunities for professional growth, and a commitment to employee well-being, all within a dynamic environment that champions innovation and collaboration.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Manager, Data Science
✨Tip Number 1
Network like a pro! Reach out to connections in the data science field, especially those who work at Elsevier or similar companies. A friendly chat can open doors and give you insider info on the hiring process.
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in AI and data science. We recommend doing mock interviews with friends or using online platforms to get comfortable with common questions.
✨Tip Number 3
Showcase your projects! Create a portfolio that highlights your best work in data science. This is your chance to demonstrate your skills and creativity, so make it visually appealing and easy to navigate.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, you’ll have access to all the latest job openings and updates directly from us at StudySmarter.
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Manager, Data Science role. Highlight relevant experience and skills that align with the job description. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about data science and how your background makes you a perfect fit for this position. Keep it engaging and personal.
Showcase Your Achievements:Don’t just list your responsibilities; showcase your achievements! Use metrics and examples to demonstrate how you've made an impact in your previous roles. We love seeing results!
Apply Through Our Website:We encourage you to apply through our website for a smooth application process. It’s the best way for us to receive your application and ensure it gets the attention it deserves!
How to prepare for a job interview at Elsevier
✨Know Your Data Science Stuff
Make sure you brush up on the latest trends and technologies in data science. Be ready to discuss your experience with AI, machine learning, and any relevant projects you've led. This is your chance to showcase your expertise!
✨Understand Elsevier's Mission
Familiarise yourself with Elsevier's goals and values, especially their commitment to inclusivity and research intelligence. Tailor your answers to reflect how your skills align with their mission, showing that you're not just a fit for the role but also for the company culture.
✨Prepare Thoughtful Questions
Interviews are a two-way street! Prepare insightful questions about the team dynamics, ongoing projects, and how they measure success in the role. This shows your genuine interest and helps you assess if it's the right fit for you.
✨Practice Your STAR Technique
When answering behavioural questions, use the STAR method (Situation, Task, Action, Result) to structure your responses. This will help you articulate your experiences clearly and demonstrate your problem-solving skills effectively.
