Principal Data Scientist- CPG

Tiger Analytics; London; On-site; GBP 125,000 - 150,000; Full time

Job summary

Join an innovative firm at the forefront of AI and analytics, where you will lead as a Data Scientist in a dynamic and fast-paced environment. This role is perfect for someone passionate about using data to drive marketing strategies, particularly in the CPG sector. You will leverage your expertise in Market Mix Modeling and ROI analytics to provide actionable insights and solutions for top-tier clients. With a commitment to professional growth, this position offers a unique opportunity to shape the future of analytics while collaborating with talented teams across the globe. If you're ready to tackle complex challenges and make a significant impact, this is the role for you.

Qualifications

• 8+ years of experience with CPG clients or in a CPG company.
• Strong knowledge of Market Mix Modeling and ROI analytics.
• Experience with Databricks and Python libraries.

Responsibilities

• Solve business problems in Marketing analytics for CPG clients.
• Develop actionable solutions and recommendations.
• Coordinate with clients to translate business questions into data models.

Skills

Market Mix Modeling

ROI analytics

Data analytics

Python programming

Bayesian regression

Databricks

Communication skills

Analytical skills

Report writing

Excel proficiency

Education

Graduation in Statistics

Post graduation in Mathematics

Management degree

Tools

Databricks

PowerPoint

Excel

Python libraries (numpy, pandas, sklearn, pymc3)

Job description

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

We are also market leaders in AI and analytics consulting in the retail & CPG industry with over 40% of our revenues coming from the sector. This is our fastest-growing sector, and we are beefing up our talent in the space.

We are looking for a Lead Data Scientist with a good blend of data analytics background, who holds solid knowledge of Market Mix Modeling and ROI analytics, is a quick learner, and has strong coding capabilities to add to our team.

Responsibilities

• Work on the latest applications of data science to solve business problems in the Marketing analytics team of the CPG space.
• Effectively communicate the analytics approach and how it will meet and address objectives to business partners.
• Develop clear, concise, actionable solutions and recommendations for Client's business needs.
• Work with client analytics team to carry out Market Mix Modelling / ROI analytics.
• Undertake hands-on work on data analytics, model development and testing, and preparing the data files for visualization platforms.
• Undertake business analysis on the data and provide insights.
• Coordinate with decision makers to translate business questions into a verifiable hypothesis and data models.
• Work hands-on across various analytics problems and provide thought leadership on problems.
• Interact with onsite team as well as client on a daily/weekly basis to gather requirements and provide updates.
• Stay connected with external sources of ideas through conferences and community engagements.
• Support demands from regulators, investor relations, etc., to develop innovative solutions to meet objectives utilizing cutting-edge techniques and tools.

Minimum Requirements

• 8+ years of experience working with CPG clients or in a CPG company.
• Graduation or Post graduation in Statistics, Mathematics, Management, etc.
• Must have worked with Marketing analytics teams and understand Market Mix Modeling (MMM) work comprehensively. Must have led multiple projects on MMM analytics.
• Experience in pricing and promotion analytics is a plus.
• Must have experience with Databricks.
• Implemented Bayesian regression on Python. Exposure to libraries like numpy, pandas, sklearn, pymc3.
• Hands-on experience in PowerPoint / Excel is a must.
• Strong logical, analytical, and problem-solving skills.
• Adept at report writing and presenting findings.
• Excellent verbal and written communication skills.

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.