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For Companies At a Glance
- Tasks: Lead data science projects, collaborate with global teams, and communicate insights effectively.
- Company: Join a growing global data science firm with a focus on financial services.
- 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 environment.
- Qualifications: 8+ years of experience in data science, preferably in financial services.
- Other info: Fluency in French or German is a bonus 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.
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: thomas.deakin@spgresourcing.com
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 (England) employer: SPG Resourcing
Contact Detail:
SPG Resourcing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist (England)
✨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, especially Python and its libraries.
✨Tip Number 3
Since the role involves collaboration across time zones, prepare to demonstrate your ability to work effectively in a distributed team. Share examples of how you've successfully communicated insights to both clients and internal teams in previous roles.
✨Tip Number 4
If you speak French or German, make sure to mention this during your conversations. Even if it's not a requirement, it could give you an edge in future client engagements, so don't hesitate to highlight your language skills.
We think you need these skills to ace Lead Data Scientist (England)
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 relevant technologies you've worked with, such as Python, R, and machine learning frameworks.
Craft a Compelling Cover Letter: Write a cover letter that showcases your technical depth and business acumen. Discuss how your experience aligns with the role and mention your ability to communicate insights effectively to both clients and internal teams.
Showcase Relevant Projects: Include specific examples of projects where you used open-source tools and technologies mentioned in the job description. Highlight your contributions and the impact of your work on previous clients or teams.
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 demonstrate your potential for future client engagements.
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. Bring examples of 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. Prepare to share insights on how you’ve communicated complex data findings to non-technical stakeholders.
✨Emphasise Collaboration Skills
Given that the team is globally distributed, highlight your experience working across different time zones and cultures. Share examples of how you've effectively collaborated with remote teams and managed communication challenges.
✨Prepare for Language Proficiency
If you speak French or German, make sure to mention it during the interview. Even if it's not a requirement, showcasing your language skills can set you apart and show your potential value in future client engagements.
