IT&D Data Science & Analytics Assistant Manager Reckitt

3.0 - 7.0 years

0 Lacs

haryana

On-site

You will be joining a global team dedicated to protecting, healing, and nurturing in the pursuit of a cleaner, healthier world. As part of the Information Technology & Digital department, you will play a vital role in championing cyber security, leveraging technology to enhance business operations, and utilizing data to drive innovation in consumer products. Your main responsibilities will include leading the evolution of Reckitt South Asia's data stack, managing data integrity and confidentiality, collaborating with cross-functional teams to integrate analytics solutions, applying mathematical and statistical principles along with AI/ML algorithms to tackle business challenges, staying updated on industry trends, and ensuring adherence to global guidelines as a regional product manager for data solutions. We are looking for a data scientist & analytics lead with 3-6 years of experience in consumer goods/ durables/ retail/ food & beverages/ electronics industry, proficient in Python and relevant libraries/frameworks, experienced in data modeling, visualization, and building/managing data pipelines, possessing strong problem-solving skills, and the ability to manage multiple stakeholders and drive initiatives. Key skills required for success in this role include Data Science, Analytics, Power BI, statistical Analytics, Predictive Analytics, ML, NLP, FMCG, Mix Market Modelling, and Customer Segmentation. We offer a supportive environment that values inclusion and individual growth, where your potential and unique qualities are recognized and appreciated. If you are passionate about leveraging data to drive business value and are excited about contributing to a cleaner, healthier world, we encourage you to apply even if you do not meet every requirement listed in the job description. Your potential and fit with our company culture are equally important to us.,

Posted 5 days ago

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Senior Risk Analyst - Decision Analytics Liberis

2.0 - 6.0 years

0 Lacs

maharashtra

On-site

You have the opportunity to join Liberis as a Senior to Lead-level Credit Risk Analyst within the Decision Analytics team, where the focus is on driving intelligent decision-making by utilizing advanced statistical analytics to manage a wealth of data. As part of the Risk team, your role will involve delivering high-quality instant decisions for customers globally, contributing to the growth of Liberis as a leading embedded business finance provider. Your key responsibilities will include leading the development and optimization of global decisioning strategies, ensuring positive outcomes for customers while maintaining an acceptable risk level, exploring new data sources to enhance decisioning policy, collaborating with risk stakeholders, and working closely with the Machine Learning team on predictive model life cycles. To excel in this role, you should possess 2-4 years of analytical experience, a strong analytical mindset, effective communication skills, a proactive approach to driving initiatives, attention to detail, autonomy, and the ability to collaborate with various teams. Proficiency in SQL and MS Excel is essential, while experience with GCP, Python, and data visualization tools like PowerBI and Looker would be advantageous. A solid background in STEM is beneficial, although aptitude is valued over formal education. If you are passionate about addressing complex challenges, seeking autonomy, and eager to make a positive impact on small businesses through innovative finance solutions, this role offers the perfect opportunity for you to contribute meaningfully to Liberis" mission and growth.,

Posted 1 week ago

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Statistical Analytics Engineer (F/M/D) Evnek

7.0 - 10.0 years

9 - 12 Lacs

Bengaluru

Work from Office

We are looking for an experienced Statistical Analytics Engineer to drive data-driven innovation in chemistry and materials science. You will apply statistical, AI, and data science techniques to develop and optimize data solutions that support smarter decision-making and workflow automation. The ideal candidate will lead analytics projects, operationalize data pipelines, and work on cross-functional initiatives. A strong foundation in cheminformatics, materials informatics, and interactive app development is essential. You will also support teams in adopting data tools, ensure data quality, and contribute to continuous learning and internal knowledge sharing.

Posted 1 month ago

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