Job Description

, SingaporeJob Family Group: Information Technology (IT)Worker Type: RegularPosting Start Date: August 7, 2024Business unit: Projects and TechnologyExperience Level: Experienced Professionals:Where you fit inShell\xe2\x80\x99s global Trading and Supply business is one of the largest energy trading operations in the world with key hubs in Singapore, Dubai, Houston, London, and Rotterdam, trading in crude oil, natural gas, LNG, electrical power etc. Our business in Asia has set huge growth targets for the coming years with major focus on green and sustainable energy.To accelerate our ambitious delivery goals and energy transition targets in Asia, our gas and power trading division in the region is looking for highly skilled and motivated Data Scientist with expertise in Generative AI and Machine Learning to join our dynamic teamWhat\xe2\x80\x99s the role?We are looking for people with the ability to translate business problems into AI solutions. This requires that you have next to your knowledge of machine learning and/or statistics as well as a good grasp of software development. Next to the data science capabilities and experiences you should be able to clearly and effectively present findings to our colleagues in other areas of expertise and business stakeholders.The ideal candidate has strong background in quantitative skills (like statistics, mathematics, advanced computing, machine learning, GenAI) and has applied those skills in solving real world problems across different businesses / functions.Your accountabilities will also include:

• Developing AI solutions to business challenges with business analysis
• Write clean and maintainable production-level code, knowledge on: Python, Databricks, GIT, SQL, Azure ML
• Enhance machine learning models on ad-hoc basis.
• Work closely with the customer and the Product Owner day-to-day
• Work in a highly-collaborative, friendly Agile environment, participate in Ceremonies and Continuous Improvement activities.
• Documenting and explaining the results of analysis or modelling to both a technical and non-technical audience
• Learning new engineering practices, technologies and continuously improving our Agile practices

What we need from youTo be successful in this role, we need someone who is an analytical problem solver, is excited about analytical models and algorithms, can multi-task, and can credibly interface between technical teams and business stakeholders.Furthermore, we hope to see the following:

• 5 years of track record in developing and deploying machine learning algorithms with proven business impact
• Experience with Generative AI and Large Language Models
• Expertise in languages and similar software such as Python, SQL, Azure ML and Databricks
• Story telling of Machine Learning models to business users
• Agile Delivery techniques (e.g. SCRUM), user stories, tools such as Azure DevOps
• Can explain software engineering best practice e.g. CI/CD, 12-factor, git branching strategies, test automation
• Experience in time series analysis / predictive modelling with low granularity time series data, preferably in a commodity or financial trading domain is an advantage

If you don\xe2\x80\x99t see yourself reflected in the job requirements on the posting above, we still encourage you to reach out and apply. Shell is committed to creating a more diverse, equitable and inclusive workplace and we encourage individuals of all backgrounds to send in your applications.Company DescriptionShell is an international energy company that uses advanced technologies and takes an innovative approach to help build a sustainable energy future. Here in Singapore, Shell has a long history and is one of the country\xe2\x80\x99s largest foreign investors. It has businesses spanning trading and marketing of liquefied natural gas; refining, trading, marketing and shipping of oil products, lubricants and chemicals; low carbon solutions; and operating a network of service stations through retailers, as well as electric vehicles charging.An innovative place to workThere\xe2\x80\x99s never been a more exciting time to work at Shell.Join us and you\xe2\x80\x99ll be adding your talent and imagination to a business with the ambition to shape the future \xe2\x80\x93 whether by investing in oil, gas, and renewable energy to meet demand, exploring new ways to store energy, or developing technology that helps the world to use energy more efficiently, everyone at Shell does their part.An inclusive place to workTo power progress, we need to attract and develop the brightest minds and make sure every voice is heard. Here are just some of the ways we are nurturing an inclusive environment \xe2\x80\x93 one where you can express your ideas, extend your skills, and reach your potential.

• We\xe2\x80\x99re creating a space where people with disabilities can excel through transparent recruitment process, workplace adjustments and ongoing support in their roles. Feel free to let us know about your circumstances when you apply, and we\xe2\x80\x99ll take it from there.
• We\xe2\x80\x99re closing the gender gap \xe2\x80\x93 whether that\xe2\x80\x99s through action on equal pay or by enabling more women to reach senior roles in engineering and technology.
• We\xe2\x80\x99re striving to be a pioneer of an inclusive and diverse workplace, promoting equality for employees regardless of sexual orientation or gender identity.
• We consider ourselves a flexible employer and want to support you finding the right balance. We encourage you to discuss this with us in your application.

A rewarding place to workCombine our creative, collaborative environment and global operations with an impressive range of benefits and joining Shell becomes an inspired career choice.We\xe2\x80\x99re huge advocates for career development. We\xe2\x80\x99ll encourage you to try new roles and experience new settings. By pushing people to reach their potential, we frequently help them find skills they never knew they had, or make career moves they never thought possible.-Special Challenges:

• Rapid onboarding on projects, understanding analytics goal and working with ill-defined datasets
• Communicating technical jargon in plain English to colleagues within Data Science team and outside

Virtual working with network of colleagues located throughout the globeDISCLAIMER: 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 Shell/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.

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