Role & responsibilities:
Take actions to ensure healthy growth of the engagement with focus on high quality
delivery and client relationships
Collaborate with the client services team to assess and take decisions regarding the
health of the engagement
Work with your team to solve complex problems. Typically, these business problems
cannot be solved using a linear/single line of thought. Use first principle thinking,
coupled with basics of math and technology to arrive at a robust solution design,
while collaborating with the others in the team
Provide support for projects in areas ranging from: core data engineering, design
architecture, cloud capabilities to mathematical model building, evaluation, and
operational support
We have an open work culture, and we encourage sharing of ideas. You would see
yourself sharing ideas and participating in discussions with team members across
teams. You would be dealing with problems from team members, direct reports and
superiors from various backgrounds and experiences.
Collaborate with the various business functions in Mu Sigma, like Sales, Marketing,
Mu Sigma University, Talent Management and Delivery & Innovation, helping them
from your experiences in delivery, and learning their way of operating, in return
The workday stretches into late evenings and you would find yourself talking to the
client, presenting insights from work and engaging the clients in discussions around
growth and future pipeline development. You would have to work on defining this
pipeline and ensuring growth is driven by great delivery and satisfactory client
engagement
In short, a day would involve delivery be it brainstorming on a project, QCing codes
on Python/R/SAS or whatever technology it takes, preparing a deck for delivering
insights and growth, collaborating with the India Leadership to come up with new
ideas and solution design, driving client conversations centered around growth and
guiding team members across the lifecycle of the engagement
Skills & Competencies:
Possess strong analytical/logical thinking skills and clarity of thought to identify and
solve business problems
Ability to learn complex businesses very quickly, define problems accurately while
paying attention to detail in the solution
Good to have experience in Excel, VBA/Macros, SQL, SAS/R
Competency and interest in Business Technology, both academically and
professionally, is preferred
Ability to extract and analyze data from multiple sources using analytical tools
Ability to manage and multi-task under tight deadlines
Strong interpersonal and communication skills
Demonstrated leadership within or outside a work setting. You should be someone
who frequently takes initiative and is eager to break new ground
Preferable Qualities
- Ready to take ownership of multiple applications
- Ready to stretch beyond normal hours during build and high support activity times

Qualification
Graduated B.E/B.Tech any domain in 2019 / 2020/2021/2022 with aggregate of 7 CGPA
A minimum aggregate of 70% in class 10th and 12th

Solving a problem can be as simple or as complicated as you make it to be. But the key to
solving a problem is Asking the right questions to enable the process of decision making.
This is where we come in we solve problems by bringing down the cost of asking questions.
Mu Sigma is one of the worlds largest Decision Sciences and Analytics firm. We help over
140 Fortune 500 clients, across 10 industry verticals, to institutionalize data-driven decision
making, and to harness Big Data. We provide our clients with a holistic ecosystem of
proprietary technology platforms, processes, and people. This ecosystem helps us scale the
use of our unique interdisciplinary approach of combining math, business, technology,
behavioral science and design thinking to operationalize Decision Science as opposed to Data
Science.
Our unique approach to problem solving using cross-industry expertise corroborates our
sustainable engagement model with our clients still further, making us one of the most
preferred analytics and Decision Sciences partners.
With over 3000 Decision Sciences professionals, we take pride in being a category and career
defining company. As we continue to scale, we are also looking at hiring the right talent
across various levels in our organization. Our unique talent management philosophy has
been critically acclaimed by the likes of Harvard Business Review.