Data Scientist- JVL

Jubilant Bhartia Group

Jubilant Bhartia Group is a global conglomerate founded by Mr. Shyam S Bhartia and Mr. Hari S Bhartia with strong presence in diverse sectors like Pharmaceuticals, Contract Research and Development Services, Proprietary Novel Drugs, Life Science Ingredients, Agri Products, Performance Polymers, Food Service (QSR), Food, Auto, Consulting in Aerospace and Oilfield Services. Jubilant Bhartia Group has four flagships Companies- Jubilant Pharmova Limited, Jubilant Ingrevia Limited, Jubilant FoodWorks Limited and Jubilant Industries Limited. Currently the group has a global workforce of around 43,000 employees.

About Jubilant Ingrevia Limited

Jubilant Ingrevia is a Global Integrated Life Science Products & Innovative Solutions provider serving, Pharmaceutical, Agrochemical, Nutrition, Consumer and Industrial customers with our customised products & solutions that are innovative, cost effective and conforming to premium quality standards.

Ingrevia is born out of a union of “Ingre” denoting Ingredients & “vie” in French meaning Life (i.e. Ingredients for Life)

Jubilant Ingrevia history goes back to 1978 with the incorporation of VAM Organics Limited, which later became Jubilant Organosys and then Jubilant Life Sciences and now demerged to an independent entity as Jubilant Ingrevia Limited, which is listed in both the stock exchanges of India. Over the years, company has developed global capacities and leadership in chosen business segments.

We have more than 40 years of experience in Life Science Chemicals, 30+ years of experience in Pyridine Chemistry and value added Specialty Chemicals, and 20+ years of experience in Vitamin B3, B4 and other Nutraceutical products.

We have strategically segmented our business into three Business Segments as explained below. We are rapidly growing the revenue in all the three segments.

Speciality Chemicals Segment : We propose to launch a new platform of Diketene & its value-added derivatives, forward integrate our crop protection chemicals to value-added agrochemicals (Herbicides, Fungicides & Insecticides) by adding new facilities. We are an established ‘partner of choice’ in CDMO, with more Invest plans in GMP & Non-GMP multi-product facility for Pharma & Crop Protection customers.

Nutrition & Health Solutions Segment : We propose to expand the existing capacity of Vitamin B3 to continue being one of the market leaders and introduce new branded animal as well as human nutrition and health premixes.

Chemical Intermediates Segment : We propose to expand our existing acetic anhydride capacity and add value added anhydrides and aldehydes and enhance volumes in speciality ethanol.

We have 5 world-class manufacturing facilities i.e. One in UP at Gajraula, Two in Gujarat at Bharuch and Baroda, Two in Maharashtra at Nira and Ambernath . We operate 61 Plants across these 5 sites giving is multi-plant and multi-location advantage.

Find out more about us at www.jubilantingrevia.com

The Position

Organization- Jubilant Ingrevia Limited

Designation - Data Scientist

Location- Noida.

Job Summary: - Plays a crucial role in helping businesses make informed decisions by leveraging data & will c ollaborate with stakeholders, design data models, create algorithms, and share meaningful insights to drive business success

Key Responsibilities.

• Work with supply chain, manufacturing, Sales managers, customer account managers and quality function to produce algorithms.
• Gathering and interpreting data from various sources.
• Cleaning and verifying the accuracy of data sets to ensure data integrity.
• Developing and implementing data collection systems and strategies to optimize efficiency and accuracy.
• Applying statistical techniques to analyze and interpret complex data sets.
• Develop and implement statistical models for predictive analysis.
• Build and deploy machine learning models to solve business problems.
• Creating visual representations of data through charts, graphs, and dashboards to communicate findings effectively.
• Develop dashboards and reports for ongoing monitoring and analysis.
• Create, modify and improve complex manufacturing schedule.
• Create scenario planning model for manufacturing, develop manufacturing schedule adherence probability model.
• Regularly monitoring and evaluating data quality, making recommendations for improvements as necessary, ensuring compliance with data privacy and security regulations.
  
  
  

Person Profile .

Qualification - B.E/M.Sc Maths/Statistics.

Experience - 2-5 Yrs.

Desired Skills

Desired Skills & Must Have -

• 2-5 years of relevant experience in chemical/ manufacturing industry.
• Hands on Generative AI.
• Exposure to Agentic AI
• Proficiency in data analysis tools such as Microsoft Excel, SQL, and statistical software (e.g., R or Python).
• Proficiency in programming languages such as Python or R.
• Expertise in statistical analysis, machine learning algorithms, and data manipulation.
• Strong analytical and problem-solving skills with the ability to handle complex data sets.
• Excellent attention to detail and a high level of accuracy in data analysis.
• Solid knowledge of data visualization techniques and experience using visualization tools like Tableau or Power BI.
• Strong communication skills to present findings and insights to non-technical stakeholders effectively
• Knowledge of statistical methodologies and techniques, including regression analysis, clustering, and hypothesis testing.
• Familiarity with data modeling and database management concepts.
• Experience in manipulating and cleansing large data sets.
• Ability to work collaboratively in a team environment and adapt to changing priorities.
• Experience with big data technologies (e.g., Hadoop, Spark).
• Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud).
• Familiarity with data engineering and database technologies.
  
  
  

Jubilant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, colour, gender identity or expression, genetic information, marital status, medical condition, national origin, political affiliation, race, ethnicity, religion or any other characteristic protected by applicable local laws, regulations and ordinances