Analyst Data Scientist/ Process Optimisation Opportunity 2025 | Deloitte is hiring Analyst Data Scientist/ Process Optimisation. The working location is Bengaluru, India. Interested candidates can apply online as soon as possible. The detailed eligibility and application process are given below.
Analyst Data Scientist/ Process Optimisation Job Openings At Deloitte| Bengaluru- Overview
| Company Name: | Deloitte |
| Job Role: | AnalystData Scientist/ Process Optimisation |
| Location: | Bengaluru |
| Work Mode: | On site |
| Last Date to Apply: | ASAP |
Job Description
- Identify valuable data sources and automate collection processes
- Undertake preprocessing of structured and unstructured data
- Analyze large amounts of information to discover trends and patterns
- Build predictive models and machine-learning algorithms
- Present information using data visualization techniques
- Propose solutions and strategies to business challenges
- Collaborate with engineering and product development teams
Skills Required:
- Proven experience as a Data Scientist/ Data engineer for at least 1 years
- Understanding of machine-learning and operations research
- Knowledge of R, SQL and Python
- Experience using business intelligence tools (e.g. Tableau)
- Exposure to Supply chain or manufacturing environment
- Develop and maintain scalable data pipelines and build out new API integrations to support continuing increases in data volume and complexity.
- Β Assemble large, complex data sets that meet functional and non-functional business requirements.
- Technical Skills:Β Proficiency in SQL, Python, and big data technologies such as Hadoop, Spark, and AWS.
Responsibilities:
- Identify valuable data sources and automate collection processes
- Undertake preprocessing of structured and unstructured data
- Analyze large amounts of information to discover trends and patterns
- Build predictive models and machine-learning algorithms
- Present information using data visualization techniques
- Propose solutions and strategies to business challenges
- Collaborate with engineering and product development teams
