Data Scientist (Hybrid)
Data Scientist (Hybrid)
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Job Description
The Role
The Data Scientist will play a pivotal role in partnering with commodity subject matter experts to develop new forecasts and data sets while also transforming the companys existing commodity price forecasting and benchmarking capabilities into scalable efficient solutions using Python R and other advanced analytics platforms. This role is central to enhancing the accuracy agility efficiency and transparency of forecasting processes. The Data Scientist will also lead the integration of artificial intelligence and machine learning techniques to uncover patterns improve predictive performance increase automation and efficiency and develop new products and tools. By bridging traditional methods with new technologies the Data Scientist will help drive innovation and operational excellence in a data-driven environment. Key metrics for success in this position include delivering timely updates to forecasting models and data products ensuring measurable improvements in forecast accuracy for key commodity benchmarks and successfully deploying AI-powered analytics tools with minimal issues while maintaining strong stakeholder engagement and communication.
The ideal candidate will thrive in a fast-paced and innovative environment have a can-do attitude and can juggle a wide variety of tasks and projects.
Principal accountabilities
- Modernize Forecasting Models Support rebuilding and enhancing existing Excel-based commodity price forecasting models using Python R or other advanced analytics tools to improve scalability maintainability and performance.
- Develop New Models and Analysis Develop new forecasts and related data sets that drive business insights and supports decision-making for Fastmarkets clients.
- Integrate Artificial Intelligence - Design and implement AI and machine learning models including generative AI and LLMs to enhance forecasting accuracy automate insight generation develop intelligent data products and create conversational analytics interfaces such as Chatbots and Agents.
- Data Pipeline Development - Develop robust data pipelines to ingest clean and transform large datasets from internal and external sources for use in forecasting and cost benchmarking models.
- Model Validation and Performance Monitoring - Establish validation frameworks and performance metrics to ensure model reliability and transparency.
- Stakeholder Collaboration - Partner with commodity subject matter experts to understand their forecasting processes and techniques translate them into intuitive technical solutions and communicate insights effectively.
- Support Analytics Product Development Develop new and innovative data products that complement forecast models to drive business insights and supports decision-making for Fastmarkets clients.
- Documentation and Knowledge Sharing - Maintain clear documentation of models methodologies and assumptions and contribute to a culture of continuous learning and innovation.
Key interfaces
The Data Scientist is a critical member of Fastmarkets Analytics a global team of 90 analysts economists and engineers at Fastmarkets that produce commodity forecasts cost and emissions benchmarking and related data.
- Partner with Analysts and Economists to translate commodity market expertise into robust data-driven forecasting and benchmarking models.
- Collaborate closely with the Technology and Data Operations teams including full stack and data engineers to ensure seamless integration of data pipelines scalable infrastructure for model deployment and alignment on data governance and quality standards.
- Partner with data scientists across Fastmarkets to align methodologies share domain-specific insights and co-develop scalable models that support enterprise-wide analytics initiatives and foster a unified data strategy.
- Partner with the Product team to translate customer needs into data-driven features and functionality ensuring that new data products align with market requirements and deliver measurable value to B2B clients.
Qualifications :
We recruit talented dynamic people with diverse backgrounds and experiences all united by a belief in our mission to provide the worlds leading and most trusted price reporting events and intelligence service for the markets we serve. Were proud to be an equal opportunities employer and are committed to creating a fully inclusive workplace where everyone feels able to participate and contribute meaningfully.
If you are open-minded curious resilient solutions-oriented and committed to promoting equality then read on...
KNOWLEDGE EXPERIENCE AND SKILLS
We are looking for an individual who is highly motivated driven and have a passion to be part of a fast-paced successful team. Being a strong team player is also important as well as someone who is happy to work flexibly.
- Proficiency in Python R or similar languages familiarity with data science libraries (e.g. pandas scikit-learn statsmodels Prophet)
- Experience applying Artificial Intelligence techniques including generative AI and large language models (LLMs).
- Experience with SQL and Snowflake for querying and managing large datasets and Snowpark for Python for data processing engineering and machine learning
- Familiarity with dbt Cloud or similar tools for transforming data
- Strong foundation in statistics econometrics and machine learning with a focus on time series forecasting and predictive modelling a plus.
If youre excited about the role but your experience skills or qualifications dont perfectly align we encourage you to apply anyway.
Additional Information :
Our Values
Fastmarkets people come from all different walks of life. Its this mix of brilliant personalities experiences and insights that gives us that warm open and friendly culture you can feel as soon as you meet us. But however wonderfully different we all are there are six things we all have in common and they form our Fastmarkets values.
Created by our own employees to reflect some of the personal traits that Fastmarkets people have our values are key to what makes our culture unique. They reflect who each of us are and theyre embedded in everything we do. Our values are:
- METRICS DRIVEN. We use insights to improve our customers experience and our business performance
- ACCOUNTABLE. We are accountable to ourselves and those we work with: we keep our promises and get things done
- GROWTH MINDSET. This value enables us to be nimble to the changing realities and operate with a sense of urgency
- INCLUSIVE. We are inclusive and respectful celebrating each of us and giving everyone a deep sense of belonging with the desire to bring their best self to work every day.
- CUSTOMER CENTRIC. We are customer-centric in all that we do
- COLLABORATIVE. We are collaborative able to work across teams and capitalise on the diversity of intellect perspectives and experiences.
Youve read a little about us now its over to you!
If you like what youve read so far and think you can see yourself as a Fastmarkets person its time to fill in your application form. This form is an important part of the selection process: its used to determine whether or not youll be chosen to have an interview and acts as a basis for the questions well ask you on the day.
Its vital that you try to capture all the relevant information we have asked for on the form so we can get a good feel for who you are and why youre great.
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
