Job Location: Bangalore
Department Overview
IHS Markit is a global market leader in providing information, analytics and solutions for industries and markets that drive economies worldwide.
90% of world’s trade is carried by sea. IHS Markit Maritime & Trade offer analytical solutions that answer key strategic or operational questions that enable customers to concentrate on making effective business decisions using IHS Markit expert data analysis. We understand the shipping market drivers, global supply chain dynamics and the effects of industry trends. We know which goods are moving, where they are going, at what prices, on what ships and for what costs. We continually enhance existing services or develop new capabilities to meet customer demands.
The Analytics team within Maritime & Trade business line works on developing new revenue generating products, leveraging open source and big data technologies. These include new data integration, advanced analytics, forecasting, data visualisation, and smart use of existing data sources that address our customer need of identifying trading opportunities, reducing global supply chain risk and improving transport efficiency.
Position Summary
The candidate will be responsible for end to end development of a best-in-class Maritime carbon accounting tool through ship specification data and historical AIS data. The carbon accounting tool would use IHS Markit proprietary data and provide a forward-looking predictive model to estimate the amount of emission from different types of vessel within certain accuracy level.
The candidate will be responsible for leading a small team and apply various data engineering, data science and machine learning techniques on proprietary as well as open data sources.
The person will need to coordinate with Product managers, Industry Analysts and Technology experts to develop and deliver the product in accordance with customer requirements and agreed timeline. The person will lead a team but will also be required to be hands on and participate in the development process.
Duties and responsibilities
- Drive complex analytical projects by leading and participating in tasks that use complex data transformation, building efficient data pipelines and feature engineering and machine learning techniques
- Apply knowledge of Data Engineering, Machine learning techniques and best practices in data science to develop new products or improve existing data science products.
- Work with business stakeholders and product managers to deliver outstanding products that exceed customer expectations
- Handle project management and stakeholder management activities and take full ownership of quality and timeliness of product deliverables.
- Gather knowledge about the maritime industry and its interrelationship with various economic and policy decision as relates to clients in Financial markets and Shipping industry
- Train and mentor junior team members on use of correct statistical techniques and logical frameworks for problem solving
Business competencies
Essential
- 10+ years of progressive professional experience with 5+ years of experience in Advanced Analytics / Data Science
- Good understanding of fundamental concepts in Machine Learning and Statistical modeling.
- Excellent programming skills in Python and PySpark.
- Understanding of data visualization principles and experience with data visualization tools
- Experience building data science products/solutions from scratch and involved from requirements analysis to model deployment and monitoring.
- Ability to lead a team of data scientist and work along with them to implement new and innovative algorithms.
- Master’s or higher degree in a quantitative discipline (Computer Science, Data Science, Mathematics, Statistics) or Data science certification from premier institute.
Beneficial
- Experience working with geo spatial data and unstructured/semi-structured data
- Knowledge of Environmental Governance and Emissions regulations
- Work experience in US, UK or EU
Personal competencies
- Excellent Logical thinking and problem-solving skills
- Ability to confidently present your own ideas and solutions, as well as guide technical discussions.
- Welcoming and approachable attitude and ability to connect with people and build strong professional relationship.
–
Inclusion and diversity are critical to the success of IHS Markit, and we actively encourage applications from people of all backgrounds. We are committed to providing equal employment opportunity without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, status as a protected veteran, or any other protected category.
We are proud to provide reasonable accommodations to applicants with disabilities. If you are interested in applying for employment with IHS Markit and need special assistance or an accommodation to use our website or to apply for a position, please contact or call +1 212 849 0399. Determination on requests for reasonable accommodation are considered on a case-by-case basis. This contact information (email and phone) is intended for application assistance and accommodation requests only. We are unable to accept resumes or provide information about application status through the phone number or email address above. Resumes are only accepted through the online application process, and only qualified candidates will receive consideration and follow-up.
IHS Markit maintains a substance-free workplace; employees may be asked to submit to a drug test (where permitted by law). In addition, in order to comply with applicable federal, state, and local vaccine mandates (including those in place for US federal contractors), US employees may be required to provide proof of being fully vaccinated, unless they have been approved for an accommodation due to a medical reason, a sincerely held religious belief or another legally protected reason. The company also participates in the E-Verify Program to confirm eligibility to work in the US.
Submit CV To All Data Science Job Consultants Across India For Free
Leave a Reply