Data Scientist SeaburyApply now
Data Scientist Seabury
- 13th month pay & Holiday allowance
- Bonus Program
- 26 holidays
- Training & Learning opportunities
- Laptop & Smartphone
- 32-40 hours p.w.
This is you
You find new ways to solve complex challenges.
Regardless the process, you find a way to make it more efficient.
You are a natural-born leader.
You like to find new and better ways to do things.
Seabury Cargo Advisory is a practice area within the Travel unit in Accenture, and a leading advisor to the global air freight and broader transportation industry. The practice advises many of the world’s best performing airlines, shipping lines, integrators, forwarders, airports, leasing firms, etc. A dedicated data analytics and business intelligence team is responsible for providing leading industry databases and analytical tools to our clients, including comprehensive air and express cargo demand & supply databases, forecasts and optimization tools. The data analytics team operates from offices in Amsterdam and Kuala Lumpur, and aims to provide top class customer service and continuously improve and innovate existing and new products to continue our steep growth curve.
Seabury Cargo Advisory provides a suite of market leading data products and tools to the global aviation and transportation industries. We pride ourselves on delivering solutions of the highest quality to our clients and are now looking for a passionate Data Scientist to join our Amsterdam team.
As a Data Scientist you will develop new and further refine established state-of-the art data products and analytical tools that help our clients in their commercial decision-making related to network, fleet, revenue management, procurement etc. You will be developing your technical, analytical and communication skill set as well as your understanding of global aviation and transportation. The learning curve will be exciting and will enable you to build a foundation of skills and experience which will prepare you for more senior roles.
You will be part of a team committed to expand our product portfolio, and to further improve our already high level of data quality and customer service. You will be working with multiple and complex sources of information including immense databases. You will drive the adoption of new and exciting analytical techniques, and explore applications to further develop our products and tools. Your day-to-day activities include conducting cutting-edge analysis, developing analytical models, evaluating and improving the methodology of our tools and products, defining requirements for BI tools, and liaising with clients on market trends and tool usage. You will also be working closely with team members in our Kuala Lumpur office.
The Data Analytics & Business Intelligence team is close knit, multi-cultural, and committed to having fun while delivering high impact products, tools and analytics to our clients. The team also works in close partnership with the consulting teams consisting of high-powered and talented individuals, who have a blend of airline industry and top-tier strategy consulting experience.
Our consultants in Strategy & Consulting are changing businesses every day using deep industry insights, knowledge and innovative ideas. Positioned at the crucial intersection of business, technology and industry, we devise creative new strategies based on trends, insights and data. With an eye for competitive advantage, digital disruption, operating models and the future workforce, we take on the challenge of designing and implementing transformative business solutions, using the newest technology.
Our research-based advice and situational analyses enable our clients to act with speed and confidence. Whether we're investigating complex issues or identifying new opportunities, our work always comes down to one thing: unlocking value and creating real, tangible impacts.
To receive an interview, candidates must have:
- Master’s degree with a strong academic record from a top tier institution in a quantitative field (e.g. computer sciences, mathematics, econometrics, engineering)
- Track record of achievement in extracurricular and professional endeavors
- Exceptional analytical, quantitative and conceptual skills
- Proven proficiency in at least one programming language, understanding of SQL is a plus
- Demonstrated ability to apply advanced analytical techniques and design analytical models
- Capability and drive to solve big and complex problems
- Accurate, attention to detail oriented, and able to work in a structured and proactive way
- Self-motivation and initiative to work independently, as well as part of an international team
- Ability to work well under pressure to meet deadlines, while still delivering a flawless product
- Excellent English written and verbal communication skills \
Other desired skills:
- Knowledge of Python, R, machine learning, big data
- Experience from working in an Agile/Scrum environment
- Experience from cloud-based data technologies
Accenture is an incredible place to work - and keep learning. By joining us, you’ll become part of a global company with a world-class brand and reputation. Besides the work we do for our clients, we’re really proud of our vibrant, diverse workplace culture: we believe in openness and honesty, fairness and equality, common sense and realism. We want to get to know the real you and help you explore and grow - whatever it is you're great at. So you will always have lots of learning opportunities (formal and informal) to improve your role-specific skills and expertise.
Besides our high-profile, challenging projects and our nurturing work environment, we offer excellent employee benefits, including:
• A flexible transport arrangement that suits your personal situation (electric car or bicycle, flexible budget including NS business card)
• An expense allowance
• Discount on Accenture shares
Are you ready to join Accenture for a career where you can be yourself and do what you love? Apply now and change the world around you.
Questions? Connect with Josephine Sillevis Smitt, firstname.lastname@example.org.
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