Junior Data Scientist
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This vacancy has been independently reviewed by the OppaJob Transatlantic Career Intelligence Desk to confirm authentic direct employer recruiting, verify compensation transparency, and eliminate applicant processing fees.
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Position Overview & Specifications
- Applying SciBite technology to address key drug-discovery and other life science data analysis questions
- Working with existing and new customers with our tools, developing scripts and pipelines to help customers achieve their goals
- Collaborating within the data science team developing new text analytics and machine-learning tools to open new avenues of data mining
- Collaborating with Elsevier colleagues to integrate and test connected solutions
- Have a bioinformatics, cheminformatics or information-science background or practical experience in handling public biomedical/healthcare databases, particularly life-science text-based content
- Be familiar with major bio- and cheminformatics public databases
- Have a good Python scripting knowledge including use of RESTful web services and data science libraries such as Pandas
- Demonstrate willingness to take on new challenges outside of their comfort zone, applying new technologies as necessary
- Be comfortable in representing SciBite at customer and public meetings and great interpersonal skills
- Working remotely from home and at our office in a hybrid working style
- Working flexible hours - flexing the times you work in the day
- 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
- Long service awards
- Save As You Earn share option scheme
- Travel Season ticket loan
- Maternity, paternity and shared parental leave
- 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 via Perks at Work
Elsevier is 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. If a qualified individual with a disability or disabled veteran needs a reasonable accommodation to use or access our online system, that individual should please contact accommodations@relx.com or if you are based in the US you may also contact us on 1.855.833.5120. Please read our Candidate Privacy Policy
Candidate Selection & Onboarding Process
Application & Resume Screening
Submit your tailored CV/Resume directly to the talent acquisition portal.
Technical & Competency Interviews
Virtual interviews with the hiring manager and multidisciplinary team.
Formal Offer & Benefits Negotiation
Written agreement outlining compensation, equity, retirement vesting, and relocation allowances.
Onboarding & Corporate Integration
Equipment provisioning, team orientation, and commencement of duties.
United Kingdom Right to Work & Skilled Worker Visa Guide
Employment in the United Kingdom requires legal Right to Work verified under the Home Office Points-Based Immigration System:
Sponsoring employers must hold an active Home Office A-rated Sponsor License and assign a valid Certificate of Sponsorship (CoS). Role must meet the general minimum salary threshold (£38,700) or occupation going rate.
Continuous employment under Skilled Worker status establishes eligibility for Indefinite Leave to Remain (ILR) after 5 continuous years, leading to British Citizenship.
Candidate Preparation Blueprint: Information Technology Support Services
Based on transatlantic hiring benchmarks for Junior Data Scientist roles across RELX's corporate sector, successful applicants typically excel across three core dimensions:
Demonstrated portfolio evidence, architecture/system design case studies, or validated professional certifications directly applicable to Information Technology Support Services.
STAR method competency responses highlighting cross-functional leadership, conflict resolution, and delivering measurable enterprise ROI under tight timelines.
Total compensation expectation aligned within the benchmarked £38,448 - £64,755 bracket, including retirement vesting and health parity.
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