VP Data Science

VP Data Science

Houston, US.

Argus is where smart people belong and where they can grow.  We answer the challenge of illuminating markets and shaping new futures.

What we’re looking for

This is an exceptional opportunity for a highly analytical, inquisitive, numerate, and articulate individual to become a key leader in a fast-paced, global energy market where data is paramount. The ideal candidate will be passionate about leveraging data science to drive innovation and business growth.

What will you be doing

Reporting directly to the Chief Data Officer, the VP of Data Science will be a critical leader in supporting and advancing the four key pillars of the Data Science function: Prices, Gen AI, Curves, and Analytics initiatives. This role will oversee the development, implementation, and governance of data-driven and AI solutions across these areas. You will lead a talented team of data scientists and engineers, playing a pivotal role in shaping the future of data-driven decision making at our organisation.

Key Areas of Focus

•          Prices: This role involves the direct supervision of the existing price assessment processes, ensuring the highest standards of accuracy and reliability in providing critical market data to our clients. The VP will champion initiatives to introduce efficiencies and minimize production costs while maintaining low correction rates. You will also lead the team in developing and maintaining robust, automated processes using Price Studio and database technologies to gather data, calculate prices, and produce reports and data feeds.

•          Gen AI: This is a critical area where the VP will be a visionary leader and champion. You will be responsible for driving research, development and implementation of cutting-edge Gen AI and NLP tools for internal and external clients. This includes but is not limited to the development of robust Large Language Model (LLM) applications. You will lead the team in exploring opportunities to use Gen AI to streamline data processing, enhance existing products, and develop new data-driven offerings. You will be expected to stay at the forefront of innovation in the fast-evolving Gen AI landscape, evaluating new algorithms and approaches, and incorporating the most promising into our data science strategy.

•          Curves: The VP will support the operations and product development for Forward Curves and Possibility Curves in the Americas. You will collaborate closely with CDO and the global DS Leadership team to identify new market opportunities for curve development and contribute to the commercialization of these products by supporting sales and marketing initiatives. The role also encompasses identifying and mitigating operational risks and ensuring the team adheres to consistent methodologies and standards to guarantee high quality product delivery.

•          DS Studio: This is another critical area where the VP will be a visionary leader and champion for the deployment of the DS Studio within staff and with external clients. A key responsibility is leading the development of the company-wide data science studio for enhanced data exploration, modelling, and insight generation leveraging cutting edge AI and ML capabilities.

•          Analytics: This area encompasses the support and development of all Analytics initiatives, including Fertiliser Analytics, Petrochemical Analytics, and outlooks. You will work closely with stakeholders across Sectors, Technology, Editorial, Marketing, and Sales, and be responsible for leading a team of Data Scientists and Data Engineers to execute on a strategic roadmap migrating existing models and processes into the Data Science studio

Key Responsibilities

•          Team Leadership: Create an inspiring and high-performing team environment, fostering open communication, and actively mentoring and developing team members. Delegate tasks effectively, set clear deadlines, monitor performance, and provide constructive feedback.

•          Strategic Vision: Develop and execute the data science strategy for the Houston office in alignment with overall global objectives.