Job Title: Data Scientist
Company: Swiggy
Location: Bangalore, Karnataka
Years of Experience: 0 – 3 Years
Employment Type: Full-time
Work Mode: On-site

About the Role:
Data Science and applied ML is ingrained deeply in decision making and product development at Swiggy. Our data scientists work closely with cross-functional teams to ship end-to-end data products, from formulating the business problem in mathematical/ML terms to iterating on ML/DL methods to taking them to production. We own or co-own several initiatives with a direct line of sight to impact on customer experience as well as business metrics.

Key Responsibilities:

• Leverage strong ML/DL/Statistics background to build new and next generation of ML based solutions to improve the quality of ads recommendation and leverage various optimization techniques to improve the campaign performance
• Mine and extract relevant information from Swiggy’s massive historical data to help ideate and identify solutions to business and CX problems
• Work closely with engineers/PMs/analysts on detailed requirements, technical designs, and implementation of end-to-end inference solutions at Swiggy scale
• Stay abreast with the latest in ML research for Ads Bidding algorithms, Recommendation Systems related areas and help adapt it to Swiggy’s problem statements
• Publish and talk about your work in internal and external forums to both technical and layman audiences
• Opportunity to work on challenging and impactful projects in the logistics domain
• Collaborate with cross-functional teams, including software developers and product managers, to integrate data-driven solutions into our systems
• Develop and deploy machine learning and deep learning models
• Take ownership of projects from inception to delivery, ensuring high-quality and impactful results

Eligibility Criteria:

• Bachelors or Masters degree in a quantitative field with 0-3 years of industry/research lab experience
• Excellent problem solving skills, ability to deconstruct and formulate solutions from first-principles
• Strong proficiency in Python, SQL, Spark, Tensorflow
• Experience working with ‘big data’ and shipping ML/DL models to production (Preferred)
• Big plus: Experience in the space of ecommerce and logistics
• Experience in Generative AI
• Experience in Agentic AI, LLMS and NLP
• Proficiency in Python

About Swiggy:
Swiggy is a leading online food delivery and logistics platform in India. The company is known for its innovative approach to solving real-world problems through technology and data-driven solutions. We encourage open sharing of ideas and publishing in internal and external avenues.

Selection Process:

• Apply through the careers portal
• Written/Technical Interview
• Personal Interview
• HR Discussion
• Final Review

How to Apply:
Click the Apply Now button below to submit your application through Swiggy’s official careers portal.

The post Swiggy Recruitment 2026 – Data Scientist | Bangalore | 0-3 Years Experience appeared first on Job4Everyone.

ANZ is hiring candidates for the role of Data Scientist for the  Bangalore locations. The complete details about ANZ Recruitment Drive are as follows.

About Us:

• At ANZ, we’re applying new ways technology and data can be harnessed as we work towards a common goal: to improve the financial wellbeing and sustainability of our millions of customers.

About the Role:

• As a Data Scientist within Australia Data, you’ll play a key role in helping to build Advanced analytics & Data Science solutions for multiple business domains. You will experience building solutions from scratch with end to end ownership, along with stakeholder interaction and be a part of complete product lifecycle. You will be exposed to emerging technologies and get constant learning opportunities within the role.
• Banking is changing and we’re changing with it, giving our people great opportunities to try new things, learn and grow. Whatever your role at ANZ, you’ll be building your future, while helping to build ours.  

What will your day look like?

• Address and solve complex business issues using large volume of data
• Develop insights and algorithms that transform key business processes and automate banker decisions and activities
• Continuous generation, monitoring, presenting and conducting of ‘fact-based’ analysis, insights and models to use at any time for the development and improvement of relevant and innovative propositions
• Design, build, deploy, monitor and assess relevant models for customers, clients, products and channels
• Initiate, design and implement innovative capabilities in the field of data science and data analytics 

What will you bring?

• Problem Solving – Comprehensive understanding of a range of analytical problem-solving advanced analytics techniques
• Continuous Improvement & Change – Understands, accepts and supports the need for change and adapts own behaviours to changing circumstances and provides input to change projects
• Data Wrangling: Skills in data cleaning, transformation, and pre-processing are essential for dealing with messy, unstructured data.
• Programming Skills: Proficiency in programming languages like Python & SQL is crucial for data manipulation, analysis, and model development.
• Technical Skills: Familiarity with machine learning algorithms and techniques such as regression, classification, clustering, and time series forecasting is necessary for building predictive models and extracting insights from data.
• Understanding of Statistical methods and ability to rightly apply them for business solving.
• Experience in building statistical model from scratch covering problem statement definition, data extraction, EDA, model selection/training/evaluation/tuning, validation, interpretation, deployment & monitoring
• Influence & Relationship Building – Uses an understanding of others’ point of view and empathy to gain buy-in to develop existing relationships and help build new ones

How to apply for ANZ Recruitment Drive 2024:-

1. Click on the “Apply Here” button provided below. You will be redirected to the official career page.
2. Click on “Apply”.
3. If you have not registered before create an account.
4. After registration, log in and fill in the application form with all necessary details.
5. Submit all relevant documents, if requested ( e.g. resume, id proof).
6. Verify that all the details entered are correct.
7. Submit the application form after verification.

Apply for Other Off-Campus Jobs:

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• Microsoft Internship 2026 – Data Science Intern Role
• Volvo Group Off Campus 2026 – Hiring Graduate Engineer Trainee
• Siemens Recruitment 2026 – Software Developer | Bangalore/Pune | Early Professional
• Wipro Internship 2026 – Hiring Freshers for Internship Roles

The post ANZ recruitment drive 2024 | Data Scientist appeared first on Job4Everyone.