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For Companies At a Glance
- Tasks: Build and enhance Machine Learning models to drive competitive advantage.
- Company: N Brown is a forward-thinking digital retailer with a commitment to diversity and sustainability.
- Benefits: Enjoy 24 days holiday, annual bonuses, mental health support, and paid volunteer time.
- Why this job: Join a passionate data community and see your work make a real impact.
- Qualifications: Experience in ML frameworks, Python, SQL, and AWS is essential.
- Other info: Hybrid working options available in a vibrant Manchester location.
The predicted salary is between 28000 - 42000 £ per year.
Senior Data Scientist – Forecasting
Remote – (Office in London)
Up to £70,000
About the Role
We are working with an exciting Tech company who are seeking a Full Stack Data Scientist to join their Forecasting Algorithms team. The company\’s aim is to use cutting edge Machine Learning techniques to influence decision making in the hospitality and transportation spacce.
You’ll be at the forefront of developing forecasting models, and supporting pricing strategies. This is a hands-on role where you\’ll own model development end-to-end—from design and testing to deployment and monitoring.
Key Responsibilities
- Lead efforts to improve the performance and scalability of deployed forecasting models.
- Design and build internal ML and forecasting libraries.
- Contribute to product planning by translating business objectives into measurable results.
- Champion best practices in model development, validation, and inference pipelines.
- Stay current with state-of-the-art techniques in AI and ML and apply them effectively.
- Work closely with technical and non technical stakeholders.
What You’ll Bring
- PhD is highly preferred!
- Strong experience building and implementing forecasting models using modern ML techniques.
- Deep understanding of time series analysis, statistics, and forecasting methodologies.
- Production-level Python programming skills (Pandas, Polars, Scikit-learn, NumPy, SciPy).
- Comfort working in a collaborative, cross-functional environment.
Please note, this role cannot offer sponsorship at this stage
Senior Data Scientist employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Make sure to showcase your experience with ML frameworks and algorithms during the interview. Be prepared to discuss specific projects where you've successfully implemented these technologies, as this will demonstrate your hands-on expertise.
✨Tip Number 2
Familiarize yourself with N Brown's data-driven culture and their strategic pillars. Understanding how data influences decision-making within the company can help you align your answers with their values and show that you're a good fit for their team.
✨Tip Number 3
Since communication skills are emphasized, practice explaining complex data science concepts in simple terms. This will not only help you in interviews but also demonstrate your ability to influence and inspire others, which is crucial for this role.
✨Tip Number 4
If you have experience with AWS, be ready to discuss specific use cases where you've utilized it in a commercial setting. Highlighting your familiarity with cloud technologies will set you apart from other candidates and show that you can contribute to their modern data solutions.
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your experience with machine learning frameworks, algorithms, and statistical methods. Provide specific examples of projects where you successfully applied these skills.
Showcase Technical Skills: Clearly outline your proficiency in Python and SQL. Mention any relevant projects or achievements that demonstrate your ability to use these languages effectively in a commercial setting.
Demonstrate Communication Skills: Since excellent written and verbal communication skills are crucial for this role, include examples of how you've influenced or inspired others through your data stories or presentations.
Tailor Your Application: Customize your CV and cover letter to reflect the values and culture of N Brown Group. Highlight your commitment to diversity, equity, and inclusion, as well as your passion for building a collaborative data community.
How to prepare for a job interview at Harnham
✨Showcase Your ML Expertise
Be prepared to discuss your experience with machine learning frameworks and algorithms. Highlight specific projects where you've successfully implemented these technologies, and be ready to explain the impact of your work.
✨Demonstrate Your Coding Skills
Since Python and SQL are crucial for this role, practice coding challenges beforehand. You might be asked to solve problems on the spot, so ensure you can write clean, efficient code under pressure.
✨Communicate Effectively
Excellent communication skills are essential. Prepare to articulate complex data concepts in a way that is easy to understand. Use examples from your past experiences to demonstrate how you've influenced others through your insights.
✨Understand the Production ML Lifecycle
Familiarize yourself with the broader production ML lifecycle. Be ready to discuss how you've contributed to model governance and the deployment of data science solutions in a commercial setting.
