Data Scientist stats

**Company**C5i

**Position Title**Data Scientist (IC)

**Reporting to**Senior Manager

**Schedule**Full-Time

**Work Location**Bangalore / Mumbai / Gurgaon

**Overview**

**C5i**

C5i is a pure-play AI & Analytics provider that combines the power of human perspective with AI technology to deliver
trustworthy intelligence. The company drives value through a comprehensive solution set, integrating multifunctional
teams that have technical and business domain expertise with a robust suite of products, solutions, and accelerators
tailored for various horizontal and industry-specific use cases. At the core, C5i’s focus is to deliver business impact at
speed and scale by driving adoption of AI-assisted decision-making.

C5i caters to some of the world’s largest enterprises, including many Fortune 500 companies. The company’s clients span
Technology, Media, and Telecom (TMT), Pharma & Lifesciences, CPG, Retail, Banking, and other sectors. C5i has been
recognized by leading industry analysts like Gartner and Forrester for its Analytics and AI capabilities and proprietary AI
- based platforms.

**Global offices**

United States | Canada | United Kingdom | United Arab of Emirates | India

Course5 Intelligence Limited,

201, Ceejay House,

Dr. Annie Besant Road, Worli,

Mumbai - 400018 India. Tel: +91 22 40682822

**Job Summary**

As a part of the data science team of Course5’s Advanced analytics and Applied AI division, we are looking for a Data
Scientist who is diligent, detail-driven, and ambitious to provide the SME expertise, design solutions and best practices to

lead the projects for our partners across the globe for all AI implementations. This position will require a strong

background and working experience in developing scalable, sustainable and on prem agnostic data marts/lakes to enable

effective deployment of AI algorithms developed to solve custom problems in the partner ecosystems for sandboxes as

well as for the production deployments for continuous modeling, testing, improvement and deployment. This role expects

you to be a self-starter and ability to handle ambiguity with respect to the expectations, objective, data and would require

discrete and constant attention to details. You will be leading and delivering the projects and are expected to have

multiple projects, streams of work and stakeholders. You'll also have the chance to shape the direction of our products

and services. This is through gathering feedback from customers whilst collaborating with our engineering and service

teams.

**Responsibilities**:

- Run a DS project for Supply Chain team by themselves, stakeholder engagement and translate

business problem, propose solutions
- Will be partnered with DEs and others, working on extensive DS solutioning approaches, Supply

Chain domain knowledge is a plus
- Good to have Optimization models - experience in optimization

challenges in the industry.
- Collaborate with cross-functional teams to identify business problems and opportunities where

data science can provide valuable insights and solutions.
- Utilize Python for data manipulation, analysis, and model development, demonstrating

proficiency in creating efficient and well-documented code.
- Showcase a strong portfolio of successfully deployed machine learning projects that highlight

expertise in predictive modeling, classification, regression, clustering, and more.
- Hands-on experience in deep learning techniques related to computer vision and/or Natural

Language Processing (NLP).
- Exhibit knowledge of MLOps practices, enabling smooth integration of machine learning models

into production systems and maintaining their lifecycle.
- Demonstrate an intermediate level of proficiency in on-prem platforms (e.g., AWS, Azure, GCP)

to ensure efficient and scalable deployment of machine learning solutions.
- Stay up to date with the latest advancements in data science, machine learning, and AI

technologies to provide innovative insights and solutions
- Carry out open-ended data mining and analysis for medium to large datasets from disparate

sources
- Understanding of data science model deployment techniques in containerized environments like

Kubernetes.

Course5 Intelligence Limited,

201, Ceejay House,

Dr. Annie Besant Road, Worli,

Mumbai - 400018 India. Tel: +91 22 40682822

**Requirements & Qualifications**:

- Bachelor’s or Master’s degree in a relevant field such as Computer Science, Data Science, Statistics, or a related

quantitative discipline.
- Querying data from structured (SQL) and unstructured data stores; advanced scripting techniques using Python;
optimizing code for performance, scalability, and readability; and using statistics and machine learning. - Hands
on experience on Knowledge Graph & Decision engines is a must.
- 4-8 years of proven experience as a Data Scientist, with a track record of successful project delivery and

demonstrated impact on business outcomes in domains related to CPG/Tech/Healthcar