Senior Analyst-Data Science at WPP Media

Gurgaon, haryana, India -

Full Time

Start Date

Immediate

Expiry Date

15 Jun, 26

Salary

0.0

Posted On

17 Mar, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Jupyter, GCP, BigQuery, Google Cloud Functions, Vertex AI, Machine Learning, Supervised Learning, Unsupervised Learning, Classification, Regression Models, Pandas, NumPy, Data Manipulation, Data Cleaning, Communication

Industry

Advertising Services

Description

About WPP Media WPP is the trusted growth partner for the world’s leading brands. With exceptional talent, trusted data and intelligence, and world-class partnerships – all united by our pioneering agentic marketing platform, WPP Open – we help clients navigate change, capture opportunity, and deliver transformational growth. WPP Media is WPP's AI-driven media operating unit, bringing together media, data, and partnerships to deliver creative personalisation at scale. Connected through WPP Open and powered by Open Intelligence, clients see exactly where, how, and why their media investment is working. For more information, visit wppmedia.com. About WPP Media WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com. WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values: Be Extraordinary by Leading Collectively to Inspire transformational Creativity. Create an Open environment by Balancing People and Client Experiences by Cultivating Trust. Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise. Profile Summary: An aspiring and skilled Data Scientist, eager to apply and grow expertise in algorithms and data analysis. Proficient in leveraging Python, Jupyter, and GCP services to analyse and extract insights from complex datasets. Will support key data science initiatives, collaborating with senior data scientists to develop and optimise solutions that drive business value. Focused on contributing to high-impact projects, while building institutional knowledge. Key Skills: (Sr Analyst) Upto 3 yrs Strong programming skills in Python and experience using Jupyter notebooks for data analysis and visualisation. Familiarity with GCP services such as BigQuery, Google Cloud Functions and Vertex AI. Solid understanding of machine learning techniques and their application in data activation solutions, including supervised and unsupervised learning, classification, and regression models. Proficiency in data manipulation and cleaning using libraries like Pandas and NumPy, ensuring high-quality datasets for analysis and modelling. Good communication skills, with the ability to articulate findings and support senior team members in presenting insights. Description: Assist in the development and implementation of data science algorithms for various strategic initiatives Collaborate with senior data scientists and cross-functional teams to design and execute A/B tests, analysing results to contribute actionable insights and recommendations. Utilise Python and Jupyter notebooks to preprocess and analyse large datasets, identifying trends and patterns that inform strategic decision-making. Contribute to the optimisation of marketing campaigns and other business processes through data-driven approaches. Support the presentation of findings and insights to internal stakeholders, ensuring clarity and impact. Engage in ongoing learning and development to enhance data science capabilities and contribute to team growth. Education: Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related quantitative discipline. Ideal Certifications: Python for Data Science (Coursera) Google Cloud Machine Learning Engineer (Associate) Life at WPP Media & Benefits Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days. WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers. We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. #LI-GOC Please read our Privacy Notice for more information on how we process the information you provide.

Responsibilities

Assist in developing and implementing data science algorithms for strategic initiatives and collaborate with senior data scientists to design and execute A/B tests, analyzing results for actionable insights. Utilize Python and Jupyter notebooks for data preprocessing and analysis to identify trends informing strategic decisions and support campaign optimization.