Senior Data Scientist

Profile

100858BR

Job Title:

Senior Data Scientist

No. of Positions:

1

Job Description:

Bring your technical expertise and passion for data insights and help us transform how we do business with our customers. You’ll be a pivotal part of driving Shell’s performance, with all the career opportunities you’d expect from a supportive, global company.

Where you fit in

Shell has been at the forefront of the digital revolution for decades, embracing new technologies to change how we operate and communicate with our customers.

Our Data Science Centre of Excellence (DS COE) sits within our Technology team and has a focus on supporting the business to embrace customer centric approaches, which are powered by digital technology, specifically innovative and advanced analytics.

You’ll be part of a team of Data Scientists, delivering the data science and technical support for our advanced analytics projects, with a specific focus on developing Shell’s customer centric digital strategy.

What’s the role?

As Data Scientist, you’ll be working closely with our businesses who directly interact with customers, from Retail and Trading to Global Commercials. Developing and delivering analytic solutions for customer centric business challenges, and enabling insights and improvements to Shell’s business data and processes.

Your main challenge will be to create analytic solutions that will mean our businesses can better understand and predict customer needs and behaviours. That includes, preparing requirements and technical feasibility for customer insight projects, and designing, testing, and deploying algorithms and methods. As well as assessing new customer insight technologies and techniques.

Alongside your technical expertise, you’ll also be calling on your natural people skills, nurturing mutual trust with, often remote, business stakeholders, within a diverse and multinational work environment. Effectively communicating business needs into data solutions, and presenting analytic results back into business language.

Auto req ID:

100858BR

Country of Work Location:

Netherlands

Company Description:

Shell Nederland BV is a platform for international collaboration, with Shell offering direct employment to around ten thousand people in the Netherlands alone, including roughly 2,800 non-Dutch employees from around 80 countries. Diversity is key at Shell Nederland, and our employees reflect the innovation that stems from a diverse workforce. By joining Shell Nederland, you will benefit from an unrivalled industry-leading development programme that will see you tap into a pool of expert knowledge that will help propel your career. Shell Nederland is the holding company of most Shell companies operating in the Netherlands. Shell Nederland also has an advisory and coordinating role in numerous areas.

Disclaimer:

Please note: We occasionally amend or withdraw Shell jobs and reserve the right to do so at any time, including prior to the advertised closing date.

Before applying, you are advised to read our data protection policy. This policy describes the processing that may be associated with your personal data and informs you that your personal data may be transferred to Royal Dutch/Shell Group companies around the world.

The Shell Group and its approved recruitment consultants will never ask you for a fee to process or consider your application for a career with Shell. Anyone who demands such a fee is not an authorised Shell representative and you are strongly advised to refuse any such demand.

Shell is an Equal Opportunity Employer.

Work Location:

Amsterdam

Requirements:

What we need from you

We expect you’re a good team player who relishes creative problem solving and has a passion for telling a story with data. Beyond a Bachelor’s or Master’s degree in statistics, econometrics, machine learning, psychology, or another relevant discipline, we’re keen to hear from men and women with as much of the following on your CV:


Some practical industry experience in data science statistics, with a focus on customer behavior, network analytics, and marketing.
Proven experience of generating insights and modelling them to predict business.
Experience with one of the following analytic tools: R, MatLab, Python, JMP.
Experience in code development, including UI/UX.
Good understanding of mathematics and algorithms is a strong advantage.


City, State (if applicable):

Amsterdam

Company info

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