Data Scientist, Curves
Your primary responsibility will be to design and implement efficient, scalable, and well-documented R scripts that enhance the performance and versatility of our data science products.
We usually respond within a week
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
We are seeking a Data Scientist with a strong focus on time series forecasting to contribute to the ongoing development of Argus’ Automatic Machine Learning and Artificial Intelligence (AI) capabilities. You will stay abreast of the latest advancements in ML/AI and play a key role in shaping the Argus methodology and algorithms The role predominantly involves extensive programming in R, occasionally SQL. We envision that the role will require some Python programming in the future.
What will you be doing
Your primary responsibility will be to design and implement efficient, scalable, and well-documented R scripts that enhance the performance and versatility of our data science products. You will contribute to the development and operational support of Argus’ suite of Data Science tools, with a particular emphasis on Forward Curves and Possibility Curves.
Key Responsibilities
- Design, implement, and maintain methodologies for Argus Data Science Products.
- Enhance and maintain Argus’ global Machine Learning and AI libraries.
- Develop monitoring tools to assess the performance and reliability of Argus Data Science products.
- Support the timely and high-quality publication of Argus Possibility Curves, Forward Curves and related products.
- Collaborate with stakeholders to ensure smooth development cycles and successful product launches.
Continuously evaluate emerging ML/AI technologies and best practices, proposing relevant innovations.
Skills and Experience
- Ph.D. in Statistics, Mathematics, Finance, Economics, or a related STEM field, or equivalent experience.
- Proficiency in data analysis and visualization techniques to extract and communicate insights from complex datasets.
- Solid understanding of modern machine learning methodologies for statistical modelling.
- Strong programming skills in R, including experience with package development and version control (e.g., GitHub)
- Proficient in SQL for data manipulation and querying.
Key Attributes
- Ability to work independently as well as collaboratively within cross-functional teams.
- Proactive and solution-oriented, with a strong research mindset.
- Analytical thinker with a pragmatic approach to solving complex business problems.
- Adaptable and comfortable working in a dynamic environment with evolving priorities.
- Confident in visualizing and presenting data to diverse audiences, with the ability to clearly articulate ideas and insights.
What’s in it for you
Our rapidly growing, award-winning business offers a dynamic environment for talented, entrepreneurial professionals to achieve results and grow their careers. Argus recognizes and rewards successful performance and as an Investor in People, we promote professional development and retain a high-performing team committed to building our success.
Competitive salary and company bonus scheme
- Group pension scheme
- Group healthcare and life assurance scheme
- Flexible working environment
- 25 days holiday with annual increase up to 30 days
- Subsidised gym membership
- Season ticket travel loans
- Cycle to work scheme
- Extensive internal and external training
About Argus
Argus is the leading independent provider of market intelligence to the global energy and commodity markets. We offer essential price assessments, news, analytics, consulting services, data science tools and industry conferences to illuminate complex and opaque commodity markets. Headquartered in London with over 1,500 staff, Argus is an independent media organisation with 30 offices in the world’s principal commodity trading hubs.
Companies, trading firms and governments in 160 countries around the world trust Argus data to make decisions, analyse situations, manage risk, facilitate trading and for long-term planning. Argus prices are used as trusted benchmarks around the world for pricing transportation, commodities and energy. Founded in 1970, Argus remains a privately held UK-registered company owned by employee shareholders and global growth equity firm General Atlantic.
Argus is committed to ensuring career and personal growth for all its staff and provides extensive training and career development opportunities, as well as participation in employee-led initiatives, including a women’s network. Our core values are Excellence, Integrity, Partnership and Inclusivity.
For more details about the company and to apply please make sure you upload your CV via our website: www.argusmedia.com/en/careers/open-positions
By submitting your job application, you automatically acknowledge and consent to the collection, use and/or disclosure of your personal data to the Company. Argus is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of race, gender, sexual orientation, gender identity, disability or veteran status.
- Department
- Technology & Data
- Locations
- London
- Remote status
- Hybrid
About Argus Media
Argus is the leading independent provider of market intelligence to the global energy and commodity markets. We offer essential price assessments, news, analytics, consulting services, data science tools and industry conferences to illuminate complex and opaque commodity markets.
Headquartered in London with 1,500 staff, Argus is an independent media organisation with 30 offices in the world’s principal commodity trading hubs.
Companies, trading firms and governments in 160 countries around the world trust Argus data to make decisions, analyse situations, manage risk, facilitate trading and for long-term planning. Argus prices are used as trusted benchmarks around the world for pricing transportation, commodities and energy.
Founded in 1970, Argus remains a privately held UK-registered company owned by employee shareholders and global growth equity firm General Atlantic.