At a Glance
- Tasks: Lead complex data initiatives and apply AI techniques to enhance data quality.
- Company: Join a global leader in information and analytics, shaping the future of science and healthcare.
- Benefits: Enjoy comprehensive health insurance, flexible working arrangements, and various paid time off.
- Other info: Collaborative team environment with opportunities for mentorship and career growth.
- Why this job: Make a real impact by transforming data into actionable insights for product and customer success.
- Qualifications: 7+ years of experience in data science with strong analytical and communication skills.
The predicted salary is between 56700 - 69300 £ per year.
Senior Data Research Analyst II
As a Data Discovery and Enrichment Expert II, you will operate at the intersection of data, AI, and domain knowledge.
You will take ownership of complex data initiatives end-to-end, contribute to shaping how the team leverages AI and data science methods, and work closely with product and customer stakeholders to drive meaningful outcomes.
This role is for someone with an execution mindset who thrives on turning ambiguous problems into structured, scalable solutions.
About our Team
We are looking for a senior, growth-minded data professional to join the Data Discovery and Enrichment (DDE) team.
This is a future-ready role designed for someone who brings strong analytical and data science foundations and who is ready to grow into product and customer-facing work.
About the Role
As a Data Discovery and Enrichment Expert II, you will operate at the intersection of data, AI, and domain knowledge.
You will take ownership of complex data initiatives end-to-end, contribute to shaping how the team leverages AI and data science methods, and work closely with product and customer stakeholders to drive meaningful outcomes.
This role is for someone with an execution mindset who thrives on turning ambiguous problems into structured, scalable solutions.
Responsibilities
- Lead complex data discovery, enrichment, and curation initiatives with a high degree of autonomy
- Apply data science techniques and AI/ML tools to improve the quality, coverage, and scalability of data assets
- Design and implement intelligent workflows for source evaluation, entity resolution, and information extraction
- Develop and maintain taxonomies, ontologies, and knowledge graphs that power downstream products
- Evaluate and adopt emerging AI tooling relevant to data enrichment and research intelligence
- Product & Customer Collaboration
- Partner with product managers to translate data insights into product features and improvements
- Engage directly with customers and internal stakeholders to understand data needs and validate solutions
- Contribute to the product roadmap by identifying data-driven opportunities for domain growth
- Communicate findings, recommendations, and data strategies clearly to both technical and non-technical audiences
- Project Execution & Team Leadership
- Own the end-to-end delivery of data projects, from scoping and planning through execution and review
- Define and drive policies, procedures, and quality standards across the DDE team
- Mentor and support junior team members, providing technical guidance and performance feedback
- Identify and close process gaps; champion a culture of continuous improvement and execution excellence
- Work within agile or project management frameworks to deliver reliably on commitments
Requirements
- Technical Skills
- Strong analytical skills with the ability to work with large, complex, and multi-source datasets
- Working knowledge of AI and machine learning concepts, entity extraction, and classification
- Data science skills: ability to prototype, analyse, and iterate on data pipelines and enrichment models
- Familiarity with relevant databases, data tools, and curation platforms
- Experience creating and maintaining taxonomies, controlled vocabularies, or ontologies
- Track record of applying QA standards rigorously and improving them over time.
- Project Management & Execution
- Proven ability to manage multiple priorities and deliver complex projects on time
- Experience with agile methodologies or structured project management approaches
- Execution-oriented: comfortable moving from strategy to delivery with minimal oversight
- Strong problem-solving skills; able to collect data, identify root causes, and act decisively.
- Communication & Stakeholder Skills
- Excellent written and verbal communication skills; able to adapt style for different audiences
- Confident engaging with customers, product teams, and senior stakeholders
- Ability to translate complex data concepts into clear business language
- Collaborative team player who also takes individual ownership
Education & Experience
MS degree (or equivalent) in a quantitative, information, or research-related field, with 7+ years of relevant experience.
Experience in academic publishing, research intelligence, or bibliographic data is a strong advantage.
We particularly welcome candidates whose background spans data science and a domain-adjacent field (e. g. research analytics, information science, knowledge management), and who are motivated to grow into product and customer-facing responsibilities.
Work in a Way That Works for You
We promote a healthy work/life balance and provide various well-being initiatives, shared parental leave, study assistance and sabbaticals to help you meet both your immediate responsibilities and long-term goals.
- Working for You
- Comprehensive Health Insurance: Covers you, your immediate family and parents.
- Enhanced Health Insurance Options: Competitive rates negotiated by the company.
- Group Life Insurance: Ensuring financial security for your loved ones.
- Group Accident Insurance: Extra protection for accidental death and permanent disablement.
- Flexible Working Arrangement: Achieve a harmonious work-life balance.
- Employee Assistance Program: Access support for personal and work-related challenges.
- Medical Screening: Your well-being is a top priority.
- Modern Family Benefits: Maternity, paternity and adoption support.
- Long-Service Awards: Recognizing dedication and commitment.
- New Baby Gift: Celebrating the joy of parenthood.
- Subsidized Meals in Chennai: Enjoy delicious meals at discounted rates.
- Various Paid Time Off: Take time off with Casual Leave, Sick Leave, Privilege Leave, Compassionate Leave, Special Sick Leave and Gazetted Public Holidays.
- Free transport pick up and drop from home - office - home. Applicable for Bangalore and Chennai.
- About Business
We are a global leader in information and analytics, helping researchers and healthcare professionals advance science and improve health outcomes.
Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science, research, health education, interactive learning and exceptional healthcare and clinical practice.
At Elsevier, your work contributes to addressing the world's grand challenges and creating a more sustainable future.
We harness innovative technologies to support science and healthcare, partnering for a better world.
What you do every day will help advance science and healthcare to advance human progress
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.
USA Job Seekers: EEO Know Your Rights.
Sr Data Research Analyst II in London 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 Sr Data Research Analyst II in London
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We think you need these skills to ace Sr Data Research Analyst II in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Elsevier, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Elsevier. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Elsevier
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
