At a Glance
- Tasks: Lead client projects in RGM for CPG, driving collaboration and insights.
- Company: Fractal, a strategic AI partner to Fortune 500 companies with a vibrant culture.
- Benefits: Competitive salary, growth opportunities, and a fun, passionate work environment.
- Other info: Join a dynamic team of enthusiastic over-achievers and enjoy wild growth!
- Why this job: Empower imagination with intelligence and make a real impact in the CPG domain.
- Qualifications: 12+ years in RGM data science, strong communication, and leadership skills.
The predicted salary is between 63000 - 77000 £ per year.
It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business.
Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner.
Job Summary: We are looking for an experienced Engagement Lead who will lead client projects in RGM for CPG. This role sits within our CPG practice and reports into the RGM Client delivery lead at Fractal. We continue to deliver services in RGM to our clients, and this platform is to accelerate the setup & scale of that journey. This role must engage, influence and inspire a wide variety of stakeholders internally from AI, Engineering & Design in order to drive collaboration and alignment.
Knowledge/Skills:
- Lead technical and business discussions with the customers (mix of KPIs, metrics, data science, data engineering, domain discussions).
- Customer management and PoV project management.
- Hold user and stakeholder workshops to showcase results, give overview of model functionality.
- Lead a small group of Data scientists & analysts developers in collaborative/streamlined data science work.
- Design solution frameworks, insights presentations.
- Use data wrangling and exploration to extract insights and relationships from the data.
- Maintain, refine/tune and upgrade the data science engine.
- Perform descriptive analysis and build visualizations to help customers understand what drives the business metrics.
- Conduct research and prototyping innovations; data and requirements gathering; solution scoping and architecture; consulting clients and client-facing teams on advanced statistical and machine learning problems.
- Collaborate and coordinate with different functional teams (engineering and product development) to implement models and monitor outcomes.
- Work with engineering and design teams, RGM/CPG leadership to develop product requirements and user stories.
- Lead the collaboration with Data engineering teams to understand the need for industrialization, ensure smooth transition from DS development to industrialization by providing sufficient DS support.
- Code development/redevelopment planning, provide direct support to DS developers in the execution.
- Ensure proper code standards are enforced, complete documentation is created and strong code management through version control.
- Leading regular code review together with the data scientist project lead.
- Ensure a common code base is created for efficient roll-out in new markets with highly modular architecture, well-designed data abstraction, high configurability and high level of parameterization.
Key Skills/Competencies/Education:
- 12+ years of work experience related to RGM data science, analytics in CPG domain.
- Ability to understand Analytics and Machine Learning concepts and apply them to solve problems.
- Creative thinker, Strategic thinking, Analytical and problem-solving skills.
- Attention to details, Discipline, Active listening, Outstanding communication, presentation and leadership skills.
- Organizational and time management skills.
- Management of stakeholders and their expectations.
- Ability to design solution frameworks with minimal guidance and lead client discussions.
- Strong knowledge of machine learning and statistical modeling techniques, with some exposure to cloud technologies such as Azure Databricks.
- Experience with programming languages such as Python, Spark; or working closely with teams who work with these programming languages.
- Strong understanding of CPG data sources, algorithms, and software design principles, highly sensitive to algorithm complexity.
Required Skills:
- RGM, Trade Promo, CPG, Client management, Problem Solving, Insight Generation & Storyboarding.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
Engagement Manager - CPG Domain in London employer: Fractal Analytics
Fractal Analytics is an exceptional employer, offering a dynamic work culture in the heart of London that fosters innovation and collaboration. Employees benefit from comprehensive growth opportunities, including leadership development and exposure to cutting-edge technologies, all while working in a supportive environment that values diversity and inclusion. With a focus on strategic impact and a commitment to excellence, Fractal Analytics empowers its team members to thrive both personally and professionally.
StudySmarter Expert Advice🤫
We think this is how you could land Engagement Manager - CPG Domain in London
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We think you need these skills to ace Engagement Manager - CPG Domain in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Fractal Analytics!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
