Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead data science projects and collaborate with a global team to drive insights.
- Company: Join a rapidly growing data science firm with a focus on financial services across Europe.
- Benefits: Enjoy remote work flexibility and a commitment to diversity and inclusion.
- Why this job: Be part of an innovative team making a real impact in the financial sector.
- Qualifications: 8+ years of experience in data science, especially in B2B financial services.
- Other info: Fluency in French or German is a plus for future client interactions.
The predicted salary is between 51000 - 119000 £ per year.
Senior Data Scientist
Salary: £85,000
UK-Based (Remote)
I’m working with a global, growing data science capability which works across multiple markets. The team is distributed, and they are building on regional depth in Europe, with recent expansion into France and potential future moves into Germany.
I’m looking for a seasoned data scientist (8+ years) with strong domain expertise in financial services, ideally someone who has worked across both B2B client-facing engagements.
Languages & Libraries:
- Python
- R
- Pandas
- NumPy
- scikit-learn
- XGBoost
- LightGBM
- statsmodels
NLP & ML Frameworks:
- spaCy
- Hugging Face Transformers
- TensorFlow or PyTorch (where applicable)
Data Engineering & Pipelines:
- dbt
- Airflow
- SQL
- Spark
- Dask
Fluency in French or German is a strong bonus as it will be advantageous for future client engagements.
SPG Resourcing is an equal opportunities employer and is committed to fostering an inclusive workplace which values and benefits from the diversity of the workforce we hire. We offer reasonable accommodation at every stage of the application and interview process.
Lead Data Scientist - Full Time employer: SPG Resourcing
Contact Detail:
SPG Resourcing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist - Full Time
✨Tip Number 1
Make sure to showcase your experience in financial services prominently. Highlight specific projects or roles where you've engaged with B2B clients, as this will resonate well with the hiring team.
✨Tip Number 2
Familiarise yourself with the key programming languages and libraries mentioned in the job description. Be prepared to discuss your proficiency in Python, R, and relevant ML frameworks during any discussions or interviews.
✨Tip Number 3
If you speak French or German, make sure to mention this in conversations. It could set you apart from other candidates and show your potential value in future client engagements.
✨Tip Number 4
Research the company’s recent expansions and projects in Europe. Being knowledgeable about their operations can help you ask insightful questions and demonstrate your genuine interest in the role.
We think you need these skills to ace Lead Data Scientist - Full Time
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your 8+ years of experience in data science, particularly in financial services. Emphasise your expertise with the required languages and libraries such as Python, R, and machine learning frameworks.
Craft a Compelling Cover Letter: Write a cover letter that showcases your relevant experience and explains why you are a great fit for the Lead Data Scientist role. Mention your client-facing experience and any fluency in French or German, as this will set you apart.
Showcase Your Projects: Include specific examples of projects you've worked on that demonstrate your skills in NLP, ML frameworks, and data engineering. Highlight any successful outcomes or innovations you contributed to in previous roles.
Proofread Your Application: Before submitting, carefully proofread your application materials for any errors or typos. A polished application reflects your attention to detail, which is crucial in data science roles.
How to prepare for a job interview at SPG Resourcing
✨Showcase Your Technical Skills
Be prepared to discuss your experience with the specific languages and libraries mentioned in the job description, such as Python, R, and machine learning frameworks like TensorFlow or PyTorch. Bring examples of projects where you've successfully applied these skills.
✨Demonstrate Domain Expertise
Since the role requires strong domain expertise in financial services, be ready to share insights from your previous work in this area. Discuss any B2B client-facing engagements you've had and how they relate to the position.
✨Highlight Your Language Skills
If you speak French or German, make sure to mention this during the interview. It could give you an edge, especially since the company is expanding into these markets. Consider preparing a few phrases in the language to demonstrate your proficiency.
✨Prepare for Cultural Fit Questions
As SPG Resourcing values diversity and inclusion, be ready to discuss how you can contribute to a positive workplace culture. Think about experiences where you've worked in diverse teams and how you’ve fostered inclusivity.
