Consultant

Posted Yesterday
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Ipari park, Tiszaújváros, Tiszaújvárosi járás, Borsod-Abaúj-Zemplén, HUN
In-Office
Mid level
Marketing Tech • Analytics
The Role
Analyzes complex datasets, develops and deploys machine learning models, cleans and preprocesses data, and creates visualizations and reports. Presents actionable insights and strategic recommendations to clients and stakeholders, collaborates with cross-functional teams, researches emerging techniques, and mentors junior data scientists.
Summary Generated by Built In
We go beyond the obvious, using intelligence, passion and creativity to inspire new thinking and shape the world we live in. To start a career that is out of the ordinary, please apply...

Job Details

Job Title:Data ScienceConsultant

Job Location: Bengaluru

Kantar is a data and evidence based advisory business providing information and recommendations to clients, worldwide. We help clients
understand people and inspire growth.
The world’s leading, tech enabled marketing data and analytics company.
Our insights, foresight and advice are embedded within our clients’ processes and at the heart of their decisions. We do not just help
clients understand what has happened, we explain why and how they can shape the future

Kantar Analytics Practice
Kantar's Analytics practice creates leading-edge offers focused on Brand Analytics, Consulting, Data Strategy & Engineering, Customer
Analytics, Media and Innovations in a way that is unmatched by our competitors. The convergence of unique human understanding and
business expertise, coupled with innovative data and technology solutions, allows us to better predict consumer behavior, providing
customers the confidence to make bold and complex decisions and optimize priorities for growth

Job Overview:
We are seeking an experienced and dynamic Data Science Consultant to join our esteemed team. The ideal candidate will liaise with clients
to present insights and recommendations that are both strategic and tactical. This role requires a keen ability to transform data into
actionable insights, excellent communication skills, and the ability to narrate compelling data stories. The candidate should be very wellversed
and have hands-on experience with data science capabilities, both theoretically and technically.

Key Responsibilities
❑ Data Analysis and Interpretation: Analyzing complex datasets to extract meaningful insights and trends.
❑ Model Development: Building and refining predictive models using machine learning algorithms.
❑ Data Cleaning and Preprocessing: Ensuring data quality by cleaning and preprocessing raw data.
❑ Collaboration: Working closely with cross-functional teams, including engineers, product managers, and business analysts, to understand
requirements and deliver data-driven solutions.
❑ Reporting and Visualization: Creating reports and visualizations to communicate findings to stakeholders.
❑ Communication: Present findings and recommendations to CS and/or clients in a clear, concise, and impactful manner.
❑ Insights and Recommendation: Provide strategic and tactical recommendations to clients based on data insights.
❑ Research and Innovation: Staying updated with the latest industry trends and technologies to improve existing models and processes.
❑ Mentorship: Guiding junior data scientists and providing technical support.

Key Qualities
❑ Analytical Thinking: Ability to break down complex problems and analyze data to find solutions.
❑ Technical Proficiency: Strong skills in programming languages like Python or R, and familiarity with machine learning frameworks.
❑ Attention to Detail: Precision in data analysis and model development to ensure accuracy.
❑ Communication Skills: Ability to clearly convey technical information to non-technical stakeholders.
❑ Curiosity and Innovation: A drive to explore new techniques and technologies to improve data processes.
❑ Problem-Solving: Aptitude for identifying issues and developing effective solutions.
❑ Team Collaboration: Working well with others and contributing to team goals.
❑ Adaptability: Flexibility to handle changing project requirements and new challenges.
Qualifications
❑ Proven experience of 3 to 5 years in a data science or related rolewith hands-on experience with data analysis, model development, and deployment.
❑ Proficiency in Python, R, SQL, and other relevant languages.
❑ Experience with machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch).
❑ Has a bachelor’s degree in a related field (e.g., Business, Economics, Statistics, Computer Science).
❑ Adept in presentation and communication skills.
 

We shape the brands of tomorrow by better understanding people everywhere. By understanding people, we can understand what drives
their decisions, actions, and aspirations on a global scale. And by amplifying our in-depth expertise of human understanding alongside
ground-breaking technology, we can help brands find concrete insights that will help them succeed in our fast-paced, ever shifting world.
And because we know people, we like to make sure our own people are being looked after as well. Equality of opportunity for everyone is
our highest priority and we support our colleagues to work in a way that supports their health and wellbeing. While we encourage teams
to spend part of their working week in the office, we understand no one size fits all; our approach is flexible to ensure everybody feels
included, accepted, and that we can win together. We’re dedicated to creating an inclusive culture and value the diversity of our people,
clients, suppliers and communities, and we encourage applications from all backgrounds and sections of society. Even if you feel like
you’re not an exact match, we’d love to receive your application and talk to you about this job or others at Kantar.

Privacy and Legal Statement

PRIVACY DISCLOSURE: Please note that by applying to this opportunity you consent to the personal data you provide to us to be
processed and retained by The Kantar Group Limited (“Kantar”). Your details will be kept on our Internal ATS (Applicant Tracking System)
for as long as is necessary for the purposes of recruitment, which may include your details being shared with the hiring manager.
 

Location

Bangalore, Prestige Technology ParkIndia

Kantar Rewards Statement

At Kantar we have an integrated way of rewarding our people based around a simple, clear and consistent set of principles. Our approach helps to ensure we are market competitive and also to support a pay for performance culture, where your reward and career progression opportunities are linked to what you deliver. 

 

We go beyond the obvious, using intelligence, passion and creativity to inspire new thinking and shape the world we live in. Apply for a career that’s out of the ordinary and join us. 

 

We want to create an equality of opportunity in a fair and supportive working environment where people feel included, accepted and are allowed to flourish in a space where their mental health and well being is taken into consideration. 

 

We want to create a more diverse community to expand our talent pool, be locally representative, drive diversity of thinking and better commercial outcomes. 

Kantar is the world’s leading data, insights and consulting company. We understand more about how people think, feel, shop, share, vote and view than anyone else. Combining our expertise in human understanding with advanced technologies, Kantar’s 30,000 people help the world’s leading organisations succeed and grow.

Skills Required

  • 3 to 5 years of experience in data science or a related role
  • Hands-on experience with data analysis, model development, and deployment
  • Proficiency in Python, R, SQL, and other relevant programming languages
  • Experience with machine learning algorithms and frameworks such as TensorFlow and PyTorch
  • Bachelor's degree in Business, Economics, Statistics, Computer Science, or a related field
  • Strong presentation and communication skills
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The Company
HQ: London
34,629 Employees

What We Do

Kantar is the world’s leading marketing data and analytics company. . We have a complete, unique and rounded understanding of how people think, feel and act; globally and locally in over 90 markets. By combining the deep expertise of our people, our data resources and benchmarks and our innovative analytics and technology, we help our clients understand people and inspire growth.

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