Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Manager

Job Description & Summary

A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.

Creating business intelligence from data requires an understanding of the business, the data, and the technology used to store and analyse that data. Using our Rapid Business Intelligence Solutions, data visualisation and integrated reporting dashboards, we can deliver agile, highly interactive reporting and analytics that help our clients to more effectively run their business and understand what business questions can be answered and how to unlock the answers.

Position responsibilities and expectations
• Stakeholder facing role across different functions of the organizations (e.g., Marketing, Finance,
Logistics, Procurement, Customer, Supply Chain, HR) to develop analyses that lead to actionable
insights that accelerate profitable growth
• Working with bigdata, SAP, Oracle, Workday or several other large and complex databases
• Designing and building analytical / ML algorithms using Python, R and other statistical tools.
• Strong data representation and lucid presentation (of analysis/modelling output) using Python, R
Markdown, Power Point, Excel etc.
• Ability to learn new scripting language or analytics platform.
Technical Skills required (must have)
• Exposure to Generative AI
• Strong knowledge of statistical and data mining techniques like Linear & Logistic Regression
analysis, Decision trees, Bagging, Boosting, Time Series and Non-parametric analysis.
• Strong knowledge of DL & Neural Network Architectures (CNN, RNN, LSTM, Transformers etc.)
• Strong knowledge of SQL and R/Python and experience with distribute data/computing tools.
• Experience in advanced Text Analytics (NLP, NLU, NLG).
• Strong hands-on experience of end-to-end statistical model development and implementation
• Basic understanding of MLOps for scalable ML development.
• Expert level proficiency algorithm building languages like SQL, R and Python and data
visualization tools like Shiny, Qlik, Power BI etc.
• Exposure to Cloud technologies (Azure or AWS or GCP)
Technical Skills required (Any one or more)
• Experience in video/ image analytics
• Experience in IoT/ machine logs data analysis
• Exposure to data analytics platforms like Domino Data Lab, c3.ai, H2O, Alteryx or KNIME
• Expertise in Cloud analytics platforms (Azure, AWS or Google)
• Experience in Process Mining with expertise in Celonis or other tools
• Proven capability in using Generaitive AI services like OpenAI, Google
• Proven capability in building customized models from open source distributions like Llama,
Stable Diffusion
Consulting skills required
• Excellent Comprehension, Written and Oral Communication skill
• Positive, people-oriented, and energetic attitude
• Analytical, creative, and innovative approach to solving problems
• Strong written and verbal communication
• Ability to work both independently and as a part of diverse teams
Degrees/Certifications Earned
• Ph.D/ M.Sc. / M.Stat/ MS (Statistics / Mathematics/ Economics/ Computer Science or ML/DL
focus)
• B.Tech / M.Tech (Computer Science, Mathematics & Scientific Computing etc.)
Others
• 3 to 14 years' experience in Analytics modeling
• Open for domestic and international travels

Mandatory Skills: Datascience
Preferred Skills: Datascience
Years of Experience: 10-15
Qualifications: BTech

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required:

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Data Science

Optional Skills

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date