Student Veterans of America Jobs

Welcome to SVA’s jobs portal, your one-stop shop for finding the most up to date source of employment opportunities. We have partnered with the National Labor Exchange to provide you this information. You may be looking for part-time employment to supplement your income while you are in school. You might be looking for an internship to add experience to your resume. And you may be completing your training ready to start a new career. This site has all of those types of jobs.

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Job Information

RELX INC Senior Data Scientist I in Amsterdam, Netherlands

Senior Data Scientist IIBusiness: Academic & Government - Product Data Science

ARE You Eager to create The best possible Data Science Solutions that help solve customer (E.G. Researchers, Authors, Editors) Problems?

Do You want to develop decision support tools to help making faster and better decisions?

About our Team

This is an exciting opportunity for a data scientist to join a highly collaborative product data science team that works within the Elsevier Academic & Governments product group. The team helps to make the most out of Elsevier’s high-quality scientific content, data, and customer understanding. Embedded in the product teams we solve customer problems by creating recommendations and we help make faster and better decisions.

About the Role

As a Senior Data Scientist I, you will be able to define the scope of a project with support of the leads and execute project independently in basic methods, and work within your teams to execute sophisticated approaches to deliver outcomes. You should also support the development of best practices. Additionally, you will mentor and support the development and training of junior staff.Though the role will be based in London or Amsterdam, you will be working with colleagues in locations in the US and rest of Europe.


  • You will be accountable, together with the rest of the team, for understanding product objectives, key results, and data science specific requirements.

  • You will develop algorithms and machine learning techniques and apply them to a wide variety of tasks such as NLP solutions and recommender systems.

  • You will drive the innovation and application of new techniques and methods as applicable, and continuously strive to improve our tools and data science practices.


Essential Skills

  • Strong knowledge of machine learning fundamentals, including model training, testing, and validation.

  • Able to work across data science programming languages and frameworks (e.g. Python / scikit-learn, Spark / Spark-sql, Kedro, MLFlow), to get up to speed with new ones, and choose the right tool for the job.

  • Experience with feature engineering, data preparation, and data pipelines.

  • Domain expert in data science (with particular focus on NLP, text embedding, recommender systems, information retrieval), demonstrable experience with prototyping and running advanced models in production.

  • Able to independently support project management of small-scale projects.

Nice to have

  • Knowledge of neural network/deep learning approaches to information retrieval

  • Knowledge and preferably some experience with recommendation systems.

  • Can prototype ideas very quickly in software with minimal supervision

  • Knowledge about the research ecosystem, experience with academia or other professional research.

You are someone who

  • Enjoys working in a collaborative and cooperative environment across technical disciplines and skill levels

  • Is willing to take risks in learning new things and go beyond their comfort zone, mistakes are learning opportunities

  • Is able to prioritise own work while keeping team and product priorities in mind

  • Makes data science repeatable, follows existing procedures and be methodical in creating new ones

  • Is able to troubleshoot (own) projects and resolve issues.

Preferred academic background and professional experience

  • At least an undergraduate degree in a relevant field and 4+ years of relevant work experience.

  • Or a master's degree in a relevant field and 2+ years of relevant work experience.

  • Or a PhD in a relevant field.

    Work in a way that works for you

We promote a healthy work/life balance across the organisation. With an average length of service of 9 years, we are confident that 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 remotely from home and at our office in a hybrid working style

· Working flexible hours - flexing the times you work in the day

Working with us

We are an equal opportunity employer with a commitment to help you succeed. Here, you will find an inclusive, agile, collaborative, innovative and fun environment, where everyone has a part to play. Regardless of the team you join, we promote a diverse environment with co-workers who are passionate about what they do, and how they do it.

Working for you

At Elsevier, 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

  • 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

    About Us

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.

Join Us

Purposeful WorkWhen you work with us, your work matters. You are part of an organization that nurtures your curiosity to stimulate innovation for the communities that we serve.Growing Every DayLike the communities we serve, you are on a constant path of discovery to shape your career and personal development.Colleagues Who CareYou will be part of the Elsevier family. We will support your well-being and provide the flexibility you need to thrive at work and home.Together, we create possibilities.Join us

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 or if you are based in the US you may also contact us on 1.855.833.5120.

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RELX is a global provider of information and analytics for professional and business customers across industries.

We help scientists make new discoveries, lawyers win cases, doctors save lives and insurance companies offer customers lower prices. We save taxpayers and consumers money by preventing fraud and help executives forge commercial relationships with their clients.

In short, we enable our customers to make better decisions, get better results and be more productive.