Data Science Intern

Engineering · Bengaluru, India

Job description

ABOUT US

We are Ai Palette. We think the world would be a nicer place to be if Food Companies could create products that the consumers really want. So we are making it happen. We want to be the most preferred Food AI company in the world. We’re making it possible by building an AI-powered SaaS platform based on our founders’ experience in the Food Industry & AI.

We are a Series A round funded company with experienced investors like pi Ventures, Exfinity ventures and Anthill ventures. We are building a global company and are already working with customers across the globe. Our customers include Fortune 500 companies and FMCG brands.

We have won several accolades & awards in our short period of existence such as:

  • Top 10 Global Food & Retail Tech startup at Kickstart Innovation'20 at Switzerland
  • Top 15 Global Food tech Startup at Slingshot'19 at Singapore
  • Top 200 Global startups at HKSTP Epic'20 at HongKong
  • Top 500 Global Food Tech startups by Forward Fooding

WHAT’S IT LIKE TO WORK AT AI PALETTE? 

We're a growing technology startup headquartered in Singapore with our Engineering base in Bangalore and a team in US, We PaletteeRs are a highly passionate and motivated bunch of people that help each other do remarkable things and achieve extraordinary results every single day. We are active learners, have a positive impact on consumers’ lives and settle for nothing short of excellence. We face challenges together and we win together. In our vision to build the World's First AI Platform for New Product Innovation, there isn’t a day that goes by where we don’t have “Aha” moments.  We strive together to deliver world-class solutions that transform the way consumer products of today and tomorrow will be created. Join us!

We are seeking a highly motivated and talented Data Science Intern to join our dynamic team at Ai Palette. As a Data Science Intern, you will have the opportunity to work on real-world projects and gain hands-on experience in the field of data science within the context of the consumer goods industry.
Key Responsibilities:
  1. Collaborate with the data science team to develop and implement machine learning models and algorithms to solve business problems.
  2. Collect, clean, and preprocess large datasets for analysis using Python and ElasticSearch.
  3. Conduct exploratory data analysis to uncover patterns, trends, and insights that drive business decisions.
  4. Assist in the development and deployment of predictive models for forecasting optimization, classification and sentiment analysis.
  5. Participate in team meetings, brainstorming sessions, and knowledge sharing activities to contribute to a culture of innovation and continuous improvement.
  6. Communicate findings and recommendations effectively to both technical and non-technical stakeholders through presentations and reports.
Requirements:
  1. Pursuing a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or a related field.
  2. Strong programming skills in Python and experience with libraries such as NumPy, pandas, scikit-learn, and TensorFlow/PyTorch.
  3. Proficiency in ElasticSearch and experience with relational databases for data manipulation and querying.
  4. Experience with NLP and LLM is desirable but not mandatory for this role.
  5. Knowledge of statistical analysis, data visualization techniques, and machine learning algorithms.
  6. Excellent problem-solving skills and the ability to work both independently and collaboratively in a fast-paced environment.
  7. Strong communication skills and the ability to effectively convey complex technical concepts to diverse audiences

BENEFITS

  • Great progression opportunities - we want you to grow with us.
  • Look after yourself with health insurance including Hospital/Surgical.
  • Learn new skills with sponsored training on MOOCs such as Coursera, Udemy.  

EQUAL OPPORTUNITY: 

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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