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- Tasks: Lead the development of advanced data science models for pricing and forecasting.
- Company: Dynamic company in the CPG/Pharma sector with a collaborative culture.
- Benefits: Competitive pay, flexible working, and opportunities for professional growth.
- Why this job: Make a real impact by shaping next-gen tools in a fast-paced environment.
- Qualifications: Experience in CPG/Retail, Python programming, and machine learning expertise required.
- Other info: Join a team that values innovation, ethics, and responsible AI.
The predicted salary is between 48000 - 72000 £ per year.
We are seeking a highly skilled and hands-on Senior Data Scientist for Supervised and Unsupervised Learning, Time Series Forecasting + Optimisation to lead the development, scaling and operationalisation of advanced data science models across pricing, promotion, forecasting and optimisation. This role blends deep technical expertise (80% hands-on) with cross-functional leadership, working closely with commercial stakeholders to translate analytics into actionable commercial strategies.
The Senior Data Scientist is required to shape next-generation pricing, promotion and pack architecture tools for the CPG environment while also contributing to broader machine learning solutions across forecasting, recommender systems, and Next Best Action initiatives.
Key Responsibilities- Actively contribute (hands on technical work) and lead a team of Data Scientists to create, evolve, and scale data science models for solutions which may span rule-based logic, supervised and unsupervised learning methods, forecasting and recommender systems.
- Support the deployment of machine learning models on our infrastructure and manage the whole lifecycle of our machine learning models, including monitoring, gathering data for retraining, and redeployments.
- Contribute to a highly collaborative team with a culture of openness and ownership. Manage & mentor data scientists & apprentices.
- Work closely with key stakeholders and influence them on business objectives.
- Build a culture of responsible AI, good governance, and ethics.
- Relevant industry experience in CPG/Consumer/Retail with developing traditional machine learning models and creating software pipelines to build and make predictions with those models.
- Expert in Python programming for Data Science.
- Have general knowledge of ML methods for supervised and unsupervised learning and especially deep understanding of time series forecasting and optimisation.
- Proven attention to detail, critical thinking, and the ability to work both independently and collaboratively within a cross-functional team.
- Experience coordinating projects across diverse teams.
- Experience with Databricks is desirable.
Senior Data Scientist - CPG/Pharma experience employer: Lorien
Contact Detail:
Lorien Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist - CPG/Pharma experience
✨Tip Number 1
Network like a pro! Reach out to your connections in the CPG and Pharma sectors. Attend industry events or webinars, and don’t be shy about sliding into DMs on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those involving supervised and unsupervised learning. Share it on platforms like GitHub or your personal website, and make sure to highlight any relevant experience with time series forecasting.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your hands-on experience with Python and machine learning models. Practice explaining complex concepts in simple terms, as you’ll need to communicate effectively with commercial stakeholders.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities that might just be perfect for you. Plus, applying directly can sometimes give you a leg up in the hiring process. Don’t miss out on your chance to join a collaborative team that values innovation!
We think you need these skills to ace Senior Data Scientist - CPG/Pharma experience
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Scientist role. Highlight your experience in CPG/Pharma and any relevant projects you've worked on. We want to see how your skills align with our needs!
Showcase Your Technical Skills: Don’t hold back on showcasing your technical expertise, especially in Python and machine learning methods. We love seeing hands-on experience, so include specific examples of your work with supervised and unsupervised learning.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data science and how you can contribute to our team. We appreciate a personal touch that reflects your personality and enthusiasm.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any updates from us!
How to prepare for a job interview at Lorien
✨Know Your Data Science Stuff
Make sure you brush up on your knowledge of supervised and unsupervised learning, especially time series forecasting and optimisation. Be ready to discuss specific projects where you've applied these techniques, as well as any challenges you faced and how you overcame them.
✨Showcase Your Python Skills
Since Python is a key requirement for this role, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice writing clean, efficient code and be ready to explain your thought process as you go.
✨Understand the Business Context
This role involves working closely with commercial stakeholders, so it’s crucial to understand the CPG/Pharma landscape. Research the company’s products and market position, and think about how your data science expertise can translate into actionable strategies for them.
✨Be Ready to Lead and Collaborate
As a senior data scientist, you'll need to manage and mentor others. Prepare examples of how you've led teams or collaborated across functions in the past. Highlight your ability to build a culture of openness and ownership within your team.
