National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Lead Data Scientist

SPG Resourcing
Birmingham
1 month ago
Applications closed

Related Jobs

View all jobs

Lead Data Scientist

Lead Data Scientist

Lead Data Scientist

Lead Data Scientist

Lead Data Scientist - Finance

Lead Data Scientist

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:

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

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Part-Time Study Routes That Lead to AI Jobs: Evening Courses, Bootcamps & Online Masters

Artificial intelligence (AI) is reshaping industries at an unprecedented pace. From automating mundane tasks in finance to driving innovation in healthcare diagnostics, the demand for AI-skilled professionals is skyrocketing. In the United Kingdom alone, AI is forecast to deliver over £400 billion to the economy by 2030 and generate millions of new jobs across sectors. Yet, for many ambitious professionals, taking time away from work to upskill can feel like an impossible ask. Thankfully, part-time learning options have proliferated: evening courses, intensive bootcamps and flexible online master’s programmes empower you to learn AI while working. This comprehensive guide explores every route—from short tasters to deep-dive MScs—showcasing providers, course formats, funding options and practical tips. Whether you’re a career changer, a busy manager or a self-taught developer keen to go further, you’ll discover a pathway to fit your schedule, budget and goals.

Top 10 Mistakes Candidates Make When Applying for AI Jobs—And How to Avoid Them

Avoid the biggest pitfalls when applying for artificial intelligence jobs. Discover the top 10 mistakes AI candidates make—plus expert tips and internal resources to land your dream role. Introduction The market for AI jobs in the UK is booming. From computer-vision start-ups in Cambridge to global fintechs in London searching for machine-learning engineers, demand for artificial-intelligence talent shows no sign of slowing. But while vacancies grow, so does the competition. Recruiters tell us they reject up to 75 per cent of applications before shortlisting—often for mistakes that could have been fixed in minutes. To help you stand out, we’ve analysed thousands of recent applications posted on ArtificialIntelligenceJobs.co.uk, spoken with in-house talent teams and independent recruiters, and distilled their feedback into a definitive “top mistakes” list. Below you’ll find the ten most common errors, along with actionable fixes, keyword-rich guidance and handy internal links to deeper resources on our site. Bookmark this page before you hit “Apply”—it could be the difference between the “reject” pile and a career-defining interview.