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- Tasks: Lead data science projects, collaborate with global teams, and communicate insights effectively.
- Company: Join a growing global data science team focused on financial services across multiple markets.
- Benefits: Enjoy remote work flexibility and a commitment to diversity and inclusion.
- Why this job: Be part of an innovative team making impactful decisions in a dynamic industry.
- Qualifications: 8+ years of experience in data science, preferably in financial services, with strong technical skills.
- Other info: Fluency in French or German is a bonus; we value diverse backgrounds and perspectives.
The predicted salary is between 51000 - 85000 £ per year.
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.
Role: 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. You’ll be working as part of a globally distributed team, collaborating with specialists across time zones. The right candidate would bring technical depth, business context, and the ability to communicate insights with both clients and internal teams.
Tech: While they use a range of technologies internally, familiarity with open-source tools is highly valued.
- 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
- Visualisation: Plotly, Seaborn, Matplotlib, Dash, Streamlit
- Dev & Collaboration Tools: Jupyter, Git, Docker, VS Code, CI/CD tools
Ideal but Not Required: Fluency in French or German is a strong bonus as it will be advantageous for future client engagements. They are based in the UK with settled status, and comfortable working across time zones with colleagues in the US and South Asia.
If this sounds like something you are interested in, please get in contact: 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 employer: SPG Resourcing
Contact Detail:
SPG Resourcing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist
✨Tip Number 1
Make sure to showcase your experience in financial services during any discussions. Highlight specific projects where you've engaged with B2B clients, as this will resonate well with the hiring team.
✨Tip Number 2
Familiarise yourself with the technologies mentioned in the job description. If you have experience with open-source tools, be ready to discuss how you've used them in past projects, as this is highly valued by the team.
✨Tip Number 3
Since the role involves collaboration across time zones, prepare examples of how you've successfully worked in distributed teams. This will demonstrate your ability to communicate effectively and adapt to different working styles.
✨Tip Number 4
If you speak French or German, even at a basic level, mention it! This could give you an edge in future client engagements, so don't hesitate to bring it up during conversations.
We think you need these skills to ace Lead Data Scientist
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 any B2B client-facing roles and showcase your technical skills with the relevant languages and libraries mentioned in the job description.
Craft a Compelling Cover Letter: In your cover letter, explain why you are interested in this role and how your background aligns with the company's needs. Mention your familiarity with open-source tools and your ability to communicate insights effectively to both clients and internal teams.
Showcase Relevant Projects: If applicable, include specific projects or case studies in your application that demonstrate your expertise in using technologies like Python, R, and machine learning frameworks. This will help illustrate your hands-on experience and problem-solving skills.
Highlight Language Skills: If you have fluency in French or German, make sure to mention it prominently in your application. This could set you apart from other candidates and show your potential for future client engagements in those markets.
How to prepare for a job interview at SPG Resourcing
✨Showcase Your Technical Skills
Be prepared to discuss your experience with the specific technologies mentioned in the job description, such as Python, R, and various ML frameworks. Highlight any projects where you've successfully applied these tools, as this will demonstrate your technical depth.
✨Demonstrate Business Acumen
Since the role requires strong domain expertise in financial services, be ready to discuss how your data science work has impacted business outcomes. Use examples from your past experiences to illustrate your understanding of B2B client engagements.
✨Communicate Clearly
As you'll be collaborating with a globally distributed team, effective communication is key. Practice explaining complex data insights in simple terms, as you may need to present findings to both technical and non-technical stakeholders.
✨Cultural Fit and Language Skills
While fluency in French or German is not required, it can be a strong advantage. If you have language skills, mention them during the interview. Additionally, show your willingness to adapt to different time zones and cultures, which is crucial for remote teamwork.
