96 Pyspark Jobs

About the Role:

Grade Level (for internal use):

10

·         The Role: ML Engineer

The Team: The Data Science and Modelling group is responsible for developing and automating, in collaboration with SPGCI’s analysts, processes and models that support the production of commodity analytics across the spectrum from production to refining/transformation and demand.  We are a multi-disciplinary team with a range of experience and specialties building solutions in a dynamic, agile manner. 

The Impact: This role has a core impact to our data science and modelling group responsible for enriching datasets and adding value to our analytics content through close collaboration with onsite and offshore teams to deliver Analytics data and modelling objectives. In this role you will gain a strong understanding of various commodities and Commodity Insights businesses to design and implement advanced strategic solutions and migrate the legacy processes into new technologies that enable data governance, automation, data quality monitoring and maintenance.  

Responsibilities:

·         Create commodity models, using predictive modelling and other statistical and econometric techniques. 

·         Understand, implement, manage and maintain analytical solutions & techniques independently. 

·         Collaborate and coordinate with data, content and product management teams and provide analytical assistance for various commodity datasets 

·         Execute with discipline and deliver appropriate documentation 

·         Work closely with various stakeholders to collect, clean, model and visualize datasets. 

·         Extract hidden value insights and enrich accuracy of the datasets. 

·         Leverage technology and automate workflows creating modernized operational processes aligning with the team strategy. 

What We’re Looking For: S&P Global Commodity Insights is seeking an experienced analyst/modeler who can both translate subject matter analyst expertise as well as develop new insights to the development of commodity-related models.  This role will closely work with a team of Data Analysts, Data Scientists and Analytics customers to implement various analytical solutions and automate workflows. This role will be expected to lead projects, often coordinating and directing the efforts of more junior analysts.  You will often have responsibility for projects from cradle to grave, developing or coordinating work from concept to implementation to turnover/retirement.  Less-senior analysts/modelers with the potential to grow into the leadership role will be considered. 

Basic Qualifications:  

·         Bachelor’s degree in Engineering, Mathematics, Economics, Computer Science, or related disciplines 

·         Overall 5+ years of experience with at least 3 years of work on end-to-end analytical modelling projects: problem scoping, data gathering, modelling, insights, visualizations, monitoring and maintenance 

·         Demonstrated ability to build constructive working relationships with various technology partners, stakeholders and other internal/ external users 

·         Strong experience with data automation and Machine Learning 

·         Strong written and verbal communication skills in English  

·         Experience using SQL, complex Excel, Pyspark and Python. 

Preferred Requirements:  

·         Master’s degree, preferably in economics, engineering, or similar field. 

·         Good experience working as an analyst in the commodity space is preferred 

·         Experience building high quality solutions and leading processes in an Agile development environment 

·         Experience building data science solutions in Databricks.

About S&P Global Commodity Insights
At S&P Global Commodity Insights, our complete view of global energy and commodities markets enables our customers to make decisions with conviction and create long-term, sustainable value.

We’re a trusted connector that brings together thought leaders, market participants, governments, and regulators to co-create solutions that lead to progress. Vital to navigating Energy Transition, S&P Global Commodity Insights’ coverage includes oil and gas, power, chemicals, metals, agriculture and shipping.

S&P Global Commodity Insights is a division of S&P Global (NYSE: SPGI). S&P Global is the world’s foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world’s leading organizations navigate the economic landscape so they can plan for tomorrow, today.

For more information, visit http://www.spglobal.com/commodity-insights.

What’s In It For You?

Our Purpose:

Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world.

Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress.

Our People:

We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.

From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference.

Our Values:
 

Integrity, Discovery, Partnership

At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals.

Benefits:

We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global.

Our benefits include: 

• Health & Wellness: Health care coverage designed for the mind and body.

• Flexible Downtime: Generous time off helps keep you energized for your time on.

• Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.

• Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.

• Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.

• Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.

For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries

Diversity, Equity, and Inclusion at S&P Global:
At S&P Global, we believe diversity fuels creative insights, equity unlocks opportunity, and inclusion drives growth and innovation – Powering Global Markets. Our commitment centers on our global workforce, ensuring that our people are empowered to bring their whole selves to work. It doesn’t stop there, we strive to better reflect and serve the communities in which we live and work, and advocate for greater opportunity for all.
 

IFTECH202.1 - Middle Professional Tier I (EEO Job Group)

Job ID: 305268
Posted On: 2024-08-21
Location: Hyderabad, Telangana, India