Data Scientist (Python, ML, SQL) in Bengaluru, India - Jobeax
Vacancy description
Data Scientist (Python, ML, SQL) in Bengaluru, India
anko gcc
India, Bengaluru
Data Scientist (Python, ML, SQL) in Bengaluru, India is listed on Jobeax. Browse 30,000+ vacancies available.
Brighter futures start here
At Anko you'll be joining a diverse team who come together to collaborate globally around tech. We are an innovation hub which power and support our retail brands. You'll feel the impacts of the work you'll do for our millions of customers and team members every day. Our brands are focused on being customer-led, digitally enabled retailers, providing you with challenging and rewarding work that you will be proud of.
Join our team, choose your own path and work on projects that excite you.
The Data and Analytics team drives competitive advantage by providing the best-in-class data, analytics, and insights for the Kmart Group. By using the latest cloud platforms tools, data engineering practices, and data science methods, the team is paving the way for a data culture within the organization, which leads to improved sales, cost savings, and customer satisfaction.
The team works with various functions and acts as a critical enabler of Kmart's strategic priorities, such as creating a single view of the customer, digital supply chain, lowest price leadership, new categories, and new formats.
What You'll Be Doing
Development & deployment of solutions that leverage data sciences & advanced analytics to drive incremental value for a retail business
Analyse and model structured data using advanced statistical methods and implement algorithms and software needed to perform analysis
Mine multiple data sets including large data sets through clustering & capture thematic trends
Desired Qualification And Work Experience
2+ years of relevant experience in advanced analytics role preferably in Retail / CPG domain.
Should have worked on projects / initiatives in merchandizing analytics, digital analytics
Prior experience in machine learning & big data analytics necessary.
Experience in productionalization of analytics products will be a plus Track record in managing deliveries of advanced analytical solutions in an agile & iterative model.
Expertise in tools required to execute a data science project - SQL, Python, R, ML algorithms
Expertise in using Cloud solutions(AWS, Azure, etc.) for deploying data science projects
Synthesizing findings and insights through effective story telling through visualization tools such as Power BI /Tableau
Detail-oriented team player with strong interpersonal skills and ability to take a leadership role when necessaryExcellent ideation, facilitation and communications skills
A place you can belong
We celebrate the rich diversity of the communities in which we operate and are committed to creating inclusive and safe environments where all our team members can contribute and succeed. We believe that all team members should feel valued, respected, and safe irrespective of your gender, ethnicity, indigeneity, religious beliefs, education, age, disability, family responsibilities, sexual orientation and gender identity and we encourage applications from all candidates.
... Experience with cloud-native data platforms and services such as: AWS: S3, Kinesis, DynamoDB, RDS, Glue, EMR, Redshift Azure: ADLS, ADF, Event Hubs, Synapse, Databricks, Azure SQL Strong programming skills in Python, Scala, or Java . Experience in Fraud Analytics, data lakes, ML pipelines, and modern data platform architectures.
... for an experienced Data Engineer to design, develop, and maintain scalable data platforms and pipelines using AWS, Apache Spark, Python, SQL, Kafka, and modern data engineering frameworks . The role will focus on building reliable data solutions for high-volume batch and real-time workloads, including data ingestion, transformation, ...
... opportunity for a Data Scientist to join a new and rapidly growing intraday team. In this role you will partner with our close-knit team of quantitative researchers, data engineers, technologists and data sourcing colleagues to research, engineer, and validate quantitative signals derived from high-frequency equity market data ...
... obvious, using intelligence, passion and creativity to inspire new thinking and shape the world we live in. Job Title: Data Scientist We're the world's leading data, insights, and consulting company we shape the brands of tomorrow by better understanding people everywhere. We are looking for a Data Scientist who will work ...
... for retraining Requirements - Experience: 6+ years data engineering focused on ML data pipelines - Python: Strong — pandas, pyarrow, JSONL processing at scale - ML Data Libraries: HuggingFace Datasets, Arrow-based storage - Data Formats: Multi-turn conversation/chat data structures and tokenizer-specific formatting - Deduplication: ...
... Requirements : - 3+ years of professional AI/ML engineering experience with a track record of delivering production-grade AI systems.- Strong programming skills in Python and SQL, with hands-on experience in ML libraries (scikit-learn, pandas, numpy) and deep-learning frameworks (PyTorch or TensorFlow).- Hands-on experience building ...
... Requirements : - 3+ years of professional AI/ML engineering experience with a track record of delivering production-grade AI systems.- Strong programming skills in Python and SQL, with hands-on experience in ML libraries (scikit-learn, pandas, numpy) and deep-learning frameworks (PyTorch or TensorFlow).- Hands-on experience building ...
... workflows. Collaborate with ML engineers and researchers to design challenging, real-world evaluation scenarios for MLE Bench. Minimum 3+ years of experience as a Data Analyst or Analytics-focused Engineer . Strong proficiency in Python for data analysis. Solid experience with SQL and relational datasets. Experience analyzing ...
... mapping, and change detection. - Ensure annotation accuracy, consistency, and adherence to defined quality standards (QA/QC frameworks) across all delivered datasets. - Define and continuously improve annotation guidelines, taxonomies, and labeling protocols in collaboration with Data Science and ML teams. - Stay current ...
... improve platform performance and resilience. Integrate with customer data platforms and pipelines, including bespoke data frameworks. 4–8 years of experience in data engineering or backend development in data-intensive environments. Proficient in Python and SQL; Strong experience with cloud-native data tools and services (S3, ...
... technical authority on internal data contracts and API schemas in cross-functional discussions with backend, product, and AI/ML teams 5+ years of experience in data engineering, with a proven track record delivering production-grade pipelines, data models, and storage architectures - Deep SQL expertise; hands-on experience ...
... delimited), APIs, XML, JSON). - Experience implementing data integration techniques such as event/message based integration (Kafka, Google Pub/Sub). - Advanced SQL skills; solid understanding of relational databases and business data; ability to write complex SQL queries against a variety of data sources. - Strong understanding ...
Data Engineer: PySpark+AWS Glue 4-8 years in Data Engineering with hands-on expertise in Snowflake, AWS Glue, AWS (S3/Lambda/CloudWatch), Python, PySpark, and SQL. Strong experience in ETL/ELT, Data Warehousing, Data Pipelines, Performance Tuning, and Cloud Data Platforms. Exposure to AI/ML or GenAI solutions is a plus ...
... demonstrated track record of delivering production-grade AI systems in real-world environments.- 3. Mandatory (Tech skill 1) : Must have strong programming skills in Python and SQL, with hands-on ML/data libraries (scikit-learn, pandas, numpy) and deep-learning frameworks (PyTorch or TensorFlow), plus REST API design.- 4. Mandatory ...
... and implement effective solutions.- Participate in design discussions, code reviews, technical documentation, and architecture decisions.- Work closely with Data Scientists, AI/ML Engineers, Architects, QA, DevOps, and Product teams.- Follow Agile/Scrum practices and contribute across the complete software development ...
... in NLP (clustering, summarization, sentiment analysis). Hands-on with AWS AI/ML stack. Familiarity with MongoDB & NoSQL/SQL. Experience with speech/multimodal AI. Exposure to data visualization tools. Build an AI-first SaaS platform solving real-world problems. Work with cutting-edge AI/ML and cloud-native architecture.
... in driving value for our customers by building data solutions. You'll be carrying out data engineering tasks to build, maintain, test and optimise a scalable data architecture, as well as carrying out data extractions, transforming data to make it usable to data analysts and scientists, and loading data into data platforms. ...
... understanding of event-driven architecture and real-time data streaming patterns Familiarity with Avro/JSON schema management and Schema Registry Experience integrating data between legacy and modern platforms Strong SQL/Python skills and experience working with relational databases Understanding of data mapping, data quality, and ...