At a Glance
- Tasks: Develop demand forecasting models for a leading fashion brand.
- Company: Join an international fashion brand with a remote work culture.
- Benefits: Excellent rates, 100% remote work, and long-term engagement.
- Other info: Open to candidates across Europe, offering great career growth.
- Why this job: Make an impact in the fashion industry with your data science skills.
- Qualifications: Experience in data science, Python, SQL, and forecasting techniques.
The predicted salary is between 63000 - 77000 £ per year.
- Excellent rates
- Outside IR35
- CET Timezones
Data Scientist to join an international fashion brand in Europe on a remote long term freelance engagement.
Excellent rates, 100% remote working (CET Time zones) & 12 month initial commitment.
The role will focus on developing demand & cold-start forecasting models across products, sizes, stores, channels and markets, supporting buying, allocation, replenishment and planning across Wholesale and Direct-to-Consumer.
- Key Skills & Experience
- Proven experience in Data Science, forecasting or advanced analytics.
- Strong Python (pandas, Num Py, scikit-learn) and SQL skills.
- Understanding of time-series forecasting, statistical modelling and machine learning.
- Knowledge of forecasting techniques such as ARIMA, ETS, Croston and deep learning models.
- Experience in cold-start forecasting, product embeddings and foundation models.
- Exposure to Databricks, Py Spark, Delta Lake and cloud data platforms.
- Familiarity with MLflow, MLOps, Git and CI/CD.
- Awareness of Generative AI, LLMs, embeddings and RAG.
Desirable
- Fashion, apparel or retail experience, particularly demand planning, merchandising or supply chain.
- Understanding of seasonality, promotions, markdowns, size and colour curves.
- Exposure to Time GPT, Chronos, Times FM, Py Torch, Tensor Flow or forecasting libraries.
- Experience with Databricks, Azure Dev Ops and Streamlit.
- Open to candidates across Europe (UK included) to work remotely to support CET time zones
Data Scientist - Demand & Cold-Start Forecasting - Fashion/Retail employer: MRP Technology Ltd
Join a forward-thinking company that values innovation and collaboration, offering a dynamic work culture in the heart of Cambridgeshire. As an SAP Travel Management Consultant, you'll benefit from competitive rates, flexible hybrid working arrangements, and ample opportunities for professional growth and development within a supportive team environment. With a focus on employee well-being and career advancement, this role provides a meaningful chance to contribute to significant projects while enhancing your expertise in SAP solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist - Demand & Cold-Start Forecasting - Fashion/Retail
✨Showcase Your Skills with a Public Portfolio
As a freelancer in data science, having a killer portfolio is essential. Showcase your projects on platforms like GitHub or create a personal website that details your work and techniques. This gives potential clients a clear picture of what you can do and helps you stand out from the competition.
✨Get Involved in Data Science Communities
Tap into online forums like Kaggle or Stack Overflow. Not only can you showcase your expertise, but you can also connect with other data scientists and potential clients. Plus, participating in competitions and discussions can elevate your profile in the field.
✨Leverage Local Networking Opportunities
Keep an eye out for local data science meetups or tech events in your area. These are golden opportunities to meet potential clients and collaborators face-to-face. Plus, who doesn't love a bit of networking over pizza and drinks?
✨Pitch Your Services Directly to Companies
Don't just wait for freelancing platforms to bring clients to you—be proactive! Research companies that could benefit from data science services and craft tailored pitches. Mention specific pain points you can address for them. Let’s get that freelance hustle going!
We think you need these skills to ace Data Scientist - Demand & Cold-Start Forecasting - Fashion/Retail
Some tips for your application 🫡
Showcase Your Projects:When applying for a freelance data science role like Data Scientist - Demand & Cold-Start Forecasting - Fashion/Retail at MRP Technology Ltd, it’s crucial to highlight your projects. Include a portfolio that features at least two or three projects involving data analysis, machine learning, or visualisation. Make sure to describe the tools and methodologies you used, so we can see your skills in action!
Quantify Your Achievements:Freelance gigs, especially in data science, often ask for proven results. In your CV, include any relevant metrics or outcomes from your previous work. Did your analysis help reduce costs by a certain percentage? Or did your predictive model improve performance? Numbers speak volumes!
Introduce Your Style:Since freelancing is all about your individual style and approach, use your cover letter to share how you tackle data problems. This is your chance to let us know how you think, your creative problem-solving methods, and how you would approach a project at MRP Technology Ltd.
Be Real About Your Rates:When you send in your application, don’t forget to mention your freelance rates and availability. We appreciate clarity up front, and it helps us gauge if you fit within our budget and timeline. Being transparent in this aspect shows professionalism and readiness!
How to prepare for a job interview at MRP Technology Ltd
✨Show Off Your Data Wizardry
As a freelancer in data science, you'll want to present a portfolio that showcases your best projects. We should pull together examples where you tackled real problems with data analytics, machine learning models, or visualisations. It's all about demonstrating your skills in action!
✨Be Ready to Dive Deep into Technical Questions
Expect to encounter some technical grilling during the interview. Prepare to discuss statistical methods, algorithms, or maybe even tackle a live coding challenge. We should brush up on tools like Python, R, or SQL—those are key players in the data science field. Don't just know them; be ready to explain your thought process!
✨Help Them Understand Your Work Style
Freelance gigs often mean you'll be working independently, so we need to convey our self-motivation and time management skills. Be prepared to talk about how you’ve handled multiple projects or met tight deadlines before. Sharing your approach to client communication can also give them confidence in your ability to deliver remotely.
✨Pitch Your Value Proposition
When freelancing, it’s crucial to clearly articulate what makes you unique. We should highlight not just technical skills but also the business impact of our projects. Think of a couple of stories where your data insights drove decision-making—this can be a game changer in showing why they should choose you for their freelance needs!
