Manager

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

D/ M

focus)

Tech / M

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

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