Custom Software Engineer at Accenture

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Retail, Consumer GoodsIndustries

Requirements

Minimum 3 years of experience (additional information specifies minimum 7.5 years in Retail and Consumer goods and services Data Analytics)
15 years of full-time education
Proficiency in Retail and Consumer goods and services Analytics (must-have skill)
Proficiency in either Retail, CPG, Supply chain, marketing data Analytics, Data Modelling, or data engineering
Strong understanding of statistical analysis and machine learning algorithms
Hands-on experience implementing machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms
Experience extracting, cleaning, and manipulating large datasets from various sources
Proficiency in data munching techniques, including data cleaning, transformation, and normalization
Ability to utilize advanced data processing techniques and data visualization tools
Outside-in view of how Retail/Consumer goods services industry is evolving

Responsibilities

Lead the effort to design, build, configure applications, and perform data modelling
Act as the primary point of contact for application-related matters
Oversee the entire application development process and ensure successful implementation
Collaborate with cross-functional teams and contribute to key decisions
Make team decisions and manage the team as a subject matter expert (SME)
Provide solutions to problems for immediate team and across multiple teams
Engage with multiple teams

Skills

Data Analytics

Data Modelling

Data Engineering

Retail Analytics

CPG Analytics

Supply Chain Analytics

Marketing Analytics

Accenture

Global professional services for digital transformation

About Accenture

Accenture provides a wide range of professional services, including strategy and consulting, technology, and operations, to help organizations improve their performance. Their services assist clients in navigating digital transformation, enhancing operational efficiency, and achieving sustainable growth. Accenture's offerings include cloud migration, cybersecurity, artificial intelligence, and data analytics, which are tailored to meet the needs of various industries such as financial services, healthcare, and retail. What sets Accenture apart from its competitors is its extensive industry knowledge and ability to deliver comprehensive solutions that address both immediate challenges and long-term goals. The company's aim is to support clients in reducing their environmental impact while driving innovation and growth.

Dublin, IrelandHeadquarters

1989Year Founded

$8.5MTotal Funding

IPOCompany Stage

Consulting, Enterprise Software, CybersecurityIndustries

10,001+Employees

Risks

Rapid AI advancements may outpace Accenture's current capabilities, risking competitive disadvantages.

Integration challenges from multiple acquisitions could affect Accenture's operational efficiency.

The rise of AI-driven startups may disrupt Accenture's market share in customer service solutions.

Differentiation

Accenture's acquisitions enhance its capabilities in digital twin technology for financial services.

The company is expanding its expertise in net-zero infrastructure through strategic acquisitions.

Accenture's focus on software-defined vehicles positions it as a leader in automotive innovation.

Upsides

Accenture's investment in EMTECH supports central bank modernization amid digital currency evolution.

The acquisition of Award Solutions boosts Accenture's presence in the growing 5G and IoT markets.

Accenture's strategic acquisitions align with high-growth markets like digital twins and net-zero projects.

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