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- Tasks: Lead data science projects in marketing analytics for CPG clients, focusing on Market Mix Modelling.
- Company: Join Tiger Analytics, a leader in AI and analytics consulting with a global presence.
- Benefits: Enjoy remote work options, career development opportunities, and a dynamic entrepreneurial environment.
- Why this job: Be part of a fast-growing team solving real-world business problems with cutting-edge technology.
- Qualifications: 8+ years in CPG analytics, strong coding skills, and experience with Market Mix Modeling required.
- Other info: Engage with industry leaders and contribute to innovative solutions in a collaborative setting.
The predicted salary is between 54000 - 84000 £ per year.
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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. 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 daily/weekly basis to gather requirements/ 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.
Requirements
- 8+ years of experience of 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.
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Principal Data Scientist- CPG (London) employer: Tiger Analytics
Contact Detail:
Tiger Analytics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Data Scientist- CPG (London)
✨Tip Number 1
Familiarise yourself with the latest trends in Market Mix Modelling and ROI analytics. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews, showcasing your expertise and enthusiasm for the field.
✨Tip Number 2
Network with professionals in the CPG and data science sectors. Attend industry conferences or webinars where you can meet potential colleagues or mentors. Building these connections can provide valuable insights and may even lead to referrals for the position.
✨Tip Number 3
Brush up on your coding skills, particularly in Python and libraries like numpy and pandas. Being able to demonstrate your technical abilities during discussions can set you apart from other candidates and show that you're ready to hit the ground running.
✨Tip Number 4
Prepare to discuss specific projects you've led in the past, especially those related to Market Mix Modelling. Highlighting your hands-on experience and the impact of your work will illustrate your capability and readiness for this Principal Data Scientist role.
We think you need these skills to ace Principal Data Scientist- CPG (London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly in Market Mix Modeling and ROI analytics. Use specific examples from your past roles that demonstrate your coding skills and analytical capabilities.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also explains why you are passionate about working in the CPG sector. Mention any specific projects or achievements that relate to the responsibilities listed in the job description.
Showcase Your Technical Skills: In your application, emphasise your experience with tools and technologies mentioned in the job description, such as Databricks and Python libraries like numpy and pandas. Provide examples of how you've used these in previous projects.
Prepare for Interviews: If selected for an interview, be ready to discuss your approach to solving business problems using data analytics. Prepare to explain your thought process in developing actionable solutions and how you communicate these to stakeholders.
How to prepare for a job interview at Tiger Analytics
✨Showcase Your Technical Skills
Make sure to highlight your experience with Market Mix Modeling and ROI analytics during the interview. Be prepared to discuss specific projects where you've applied these skills, especially using tools like Databricks and Python libraries such as numpy and pandas.
✨Communicate Clearly
Since the role involves interacting with business partners, practice explaining complex data concepts in simple terms. Use examples from your past experiences to demonstrate how you effectively communicated analytics approaches and solutions.
✨Demonstrate Problem-Solving Abilities
Prepare to discuss how you've tackled challenging business problems using data analytics. Think of specific instances where your analytical skills led to actionable insights or innovative solutions, particularly in the CPG sector.
✨Engage with the Company’s Vision
Research Tiger Analytics and understand their position in the AI and analytics space, especially within the retail and CPG industry. Be ready to discuss how your background aligns with their goals and how you can contribute to their growth.
