Job Description
Data Scientist (Mid-Level)
London (Bond Street) – 4 days a week in office (Mon–Thurs)
Up to £65,000 + 10% bonus
About the Company
We’re partnering with a high-performing international investment firm that works closely with ambitious, high-growth businesses to help them scale sustainably and create long-term value. Operating across Europe, the US, and Asia, this organisation combines deep investment expertise with modern technology to make smarter, faster decisions across sourcing, diligence, and portfolio management.
Over the past several years, they’ve built an in-house Data Science and AI function that applies advanced analytics, NLP, and large language models to real-world commercial and investment problems. This is a genuinely data-driven environment where technical work directly informs senior decision-making.
The Role
They’re now hiring a Mid-Level Data Scientist to join a growing London-based Data Science team. This role sits at the intersection of research, production ML, and high-impact short-form analysis, offering exposure to multiple projects rather than a single narrow product.
You’ll work hands-on with Python and cloud-based ML systems, contributing across the full data science lifecycle — from early experimentation and proof-of-concept work through to deployment and iteration in production. There’s a strong emphasis on solid engineering fundamentals alongside classical data science skills.
This is a great opportunity for a generalist data scientist who wants ownership, variety, and exposure to LLM use cases in a commercial environment.
Key Responsibilities
- Research and prototype new data science and LLM-driven use cases to support commercial and strategic decision-making
- Apply NLP and language analysis techniques to large, unstructured datasets
- Build, test, and iterate on machine learning models using strong classical data science foundations
- Support the productionisation and deployment of models in a cloud environment
- Contribute to short, high-impact analytical projects supporting deal sourcing and due diligence
- Work across multiple projects and products simultaneously, balancing research and delivery
- Collaborate closely with other data scientists, engineers, and non-technical stakeholders
- Take ownership of components of the data science stack, from experimentation through to live usage
Requirements:
You’re a technically strong, mid-level data scientist with a solid grounding in core data science principles and a growing interest in modern NLP and LLM-based systems. You enjoy working end-to-end, writing clean, production-ready code, and taking ownership of your work.
- Around 3 years’ experience in a hands-on data science role
- Strong Python skills and good software engineering fundamentals
- Solid understanding of classical data science and machine learning techniques
- Experience delivering data science projects end-to-end, from proof of concept to production
- Familiarity with NLP and/or large language models
- Cloud experience (GCP preferred; AWS or Azure also acceptable)
- Comfortable working autonomously across multiple projects
- Strong communication skills and a collaborative mindset
- Experience with Transformers, Hugging Face, or modern NLP tooling
- Exposure to agentic or LLM-based frameworks
- Experience building simple front ends or dashboards (e.g. Streamlit)
- Background in product-led or financial services environments
Please note: This role cannot offer VISA sponsorship.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in Dartford
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Some tips for your application 🫡
Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.
Tailor Your Documents for Us:When applying for a full-time role at Harnham, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!
Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.
How to prepare for a job interview at Harnham
✨Show off your analytical skills
In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!
✨Practice your technical know-how
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✨Portfolio of Projects
Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.
✨Know their business model
Get familiar with Harnham’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.