Job Description

Organization:

MOL Information Technology (MOL-IT)

is the

Digital Transformation Partner

of the MOL Group, delivering customized technology solutions that drive efficiency, innovation, and sustainability across shipping, logistics, and supply chain domains. Established in 1997, MOL-IT operates from three locations--

Kolkata, Hyderabad and Mumbai

--with a team of over

400 software and management professionals

. In alignment with the MOL Group's strong commitment to

sustainable growth

, MOL-IT is advancing its digital capabilities to support decarbonization, automation, and smart operations. As part of its growth strategy, MOL-IT continues to deepen its impact within the MOL Group by aligning digital transformation initiatives with the Group's long-term sustainability goals.

Key Responsibilities

Collect, clean, and analyze structured and unstructured data from various sources. Hands-on experience in ML, data handling, data cleaning are mandatory Proficiency in Python or similar programming languages. Experience with SQL and working with large datasets. Solid understanding of statistical analysis and machine learning techniques. Familiarity with data visualization tools (e.g., Tableau, Power BI, or matplotlib/seaborn). Develop predictive models and machine learning algorithms to support business decisions. Design experiments and A/B tests to validate hypotheses and drive continuous improvement. Create data visualizations and dashboards to communicate findings to stakeholders. Collaborate with cross-functional teams including Engineering, Product, and Marketing. Translate business challenges into data problems and deliver practical solutions. Ensure the quality, integrity, and security of data used in analysis and reporting.

Qualifications

Required:

Bachelor's or master's degree in data science, Statistics, Computer Science, Mathematics, or related field. 1-3 years of experience in a data science or analytics role.

Preferred:

Knowledge of cloud platforms (AWS, GCP, or Azure) and big data tools (e.g., Spark, Hadoop). Strong communication skills and ability to present complex data in a clear and actionable manner.

CTC -As per the industry standard