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For Companies At a Glance
- Tasks: Lead innovative data science projects and collaborate with teams to shape technology strategies.
- Company: Join Elsevier, a global leader in information and analytics, advancing science and healthcare.
- Benefits: Enjoy generous holidays, wellbeing programs, study assistance, and flexible work options.
- Why this job: Make a real impact in healthcare while working in a collaborative and innovative environment.
- Qualifications: Strong engineering background in AI/ML, coding skills, and experience in cross-functional team leadership.
- Other info: Opportunity to engage with key customers and contribute to meaningful projects in the pharmaceutical industry.
The predicted salary is between 54000 - 84000 £ per year.
About our Team:
Our global team supports products in education electronic health records that introduce students to digital charting and prepare them to document care in today's modern clinical environment. We have a very stable product that we’ve worked to get to and strive to maintain. Our team values trust, respect, collaboration, agility, and quality.
About the Role:
The Principal Data Scientist will drive fast-moving Proof of Concepts (PoCs) and collaborate closely with commercial teams to gather customer feedback, shaping technology strategy. This role is part of the CM Architecture & Innovation team, reporting to the Senior Director.
Responsibilities:
- Collaboration: Connect across Elsevier to understand current data science, technology, and data capabilities. Engage with the Corporate Markets Business Unit to understand business goals and identify innovation opportunities.
- Innovation: Lead hands-on development experiments and PoCs using diverse technologies and data science methods. Form short-lived, cross-functional teams to validate ideas with customers and inform strategy and roadmaps.
- Expertise: Serve as a subject matter expert in Data Science and Advanced Technology (including GenAI/AI/ML). Keep the CM Technology team updated on industry trends and developments. Present at townhalls and provide updates to senior stakeholders.
- Customer Engagement: Build relationships with technology users and builders in key customer organizations, particularly in the pharmaceutical industry. Understand their challenges and opportunities and provide insights on IT technology trends.
- Transition Support: Facilitate the transition of successful experiments/PoCs into production. Encourage innovators across Corporate Markets to deliver faster outcomes for customers.
- Strategy and Roadmaps: Contribute to and help drive the technology aspects of the strategy and roadmaps of Corporate Markets.
Requirements:
- Strong engineering background with up-to-date knowledge of AI/ML technology.
- Hands-on experience in supporting production systems as a software developer or data scientist.
- Experience leading teams to deliver complex solutions, including working across distributed international teams.
- Proven track record of implementing and integrating advanced Data Science and/or GenAI technology into production systems.
- Demonstrable experience in cross-functional engagement and communication at all business levels, including stakeholder management and presenting at the CxO level.
- Proficiency in coding with Python and experience with other relevant languages and technologies such as Java, LangGraph, MCP, Agentic Workflows, Knowledge Graphs, Vector search, and no/low-code frameworks.
- Familiarity with platforms like Microsoft OneLake, AWS Sagemaker, Databricks, and Snowflake.
Work in a Way that Works for You:
We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance, and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.
Working for You:
We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
- Generous holiday allowance with the option to buy additional days
- Health screening, eye care vouchers, and private medical benefits
- Wellbeing programs
- Life assurance
- Access to a competitive contributory pension scheme
- Save As You Earn share option scheme
- Travel Season ticket loan
- Electric Vehicle Scheme
- Optional Dental Insurance
- Maternity, paternity, and shared parental leave
- Employee Assistance Programme
- Access to emergency care for both the elderly and children
- RECARES days, giving you time to support the charities and causes that matter to you
- Access to employee resource groups with dedicated time to volunteer
- Access to extensive learning and development resources
- Access to employee discounts scheme via Perks at Work
About the Business:
A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world.
Principal Applied Data Scientist (Basé à London) employer: Golden Bees
Contact Detail:
Golden Bees Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Applied Data Scientist (Basé à London)
✨Tip Number 1
Network with professionals in the data science and healthcare sectors. Attend industry conferences, webinars, or local meetups to connect with potential colleagues and learn about the latest trends. This can help you gain insights into what companies like us are looking for in candidates.
✨Tip Number 2
Showcase your hands-on experience with AI/ML technologies by engaging in relevant projects or contributing to open-source initiatives. This not only enhances your skills but also demonstrates your commitment to staying current in the field, which is crucial for a role like Principal Applied Data Scientist.
✨Tip Number 3
Prepare to discuss your experience in cross-functional collaboration. Think of specific examples where you've successfully worked with diverse teams to deliver complex solutions. This will be key in demonstrating your ability to engage with various stakeholders effectively.
✨Tip Number 4
Familiarise yourself with the platforms and technologies mentioned in the job description, such as AWS Sagemaker and Databricks. Having practical knowledge or even certifications in these areas can set you apart from other candidates and show that you're ready to hit the ground running.
We think you need these skills to ace Principal Applied Data Scientist (Basé à London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, AI/ML technologies, and any leadership roles you've held. Use keywords from the job description to align your skills with what the company is looking for.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data science and innovation. Mention specific projects or experiences that demonstrate your ability to lead teams and drive successful PoCs, as well as your understanding of the pharmaceutical industry.
Showcase Technical Skills: Clearly outline your proficiency in coding languages like Python and any other relevant technologies mentioned in the job description. Provide examples of how you've applied these skills in previous roles, particularly in production systems.
Highlight Collaboration Experience: Emphasise your experience in cross-functional collaboration and stakeholder management. Share examples of how you've successfully engaged with different teams to achieve common goals, especially in a global context.
How to prepare for a job interview at Golden Bees
✨Showcase Your Technical Expertise
As a Principal Applied Data Scientist, it's crucial to demonstrate your strong engineering background and hands-on experience with AI/ML technologies. Be prepared to discuss specific projects where you've implemented advanced data science solutions and how they contributed to production systems.
✨Emphasise Collaboration Skills
This role requires extensive collaboration across teams. Highlight your experience in cross-functional engagement and how you've successfully worked with diverse teams to drive innovation and gather customer feedback. Share examples of how you’ve built relationships with stakeholders at various levels.
✨Prepare for Customer Engagement Scenarios
Since customer engagement is key, think about how you would approach building relationships with technology users in the pharmaceutical industry. Prepare to discuss how you would understand their challenges and provide insights on IT technology trends that could benefit them.
✨Demonstrate Strategic Thinking
The role involves contributing to technology strategy and roadmaps. Be ready to discuss your experience in shaping technology strategies based on market trends and customer needs. Present any relevant examples where your strategic input led to successful outcomes.
