Q
QuantSpark
Senior Analyst
Skills
SQL QueriesLookerData EngineeringDeep LearningTableauPythonData ScienceData VisualizationPyTorchTensorFlowData AnalysisMachine LearningAIAWSdbtApache AirflowPower BIAzure
2 months ago
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Important information
Location:
London, UK
Work mode:
Onsite
Published on:
17 August 2026
What they need
Who you are
- You have at least 2+ years of technical experience working in in project-based data analytics and applied machine learning with end-to-end ownership
- You are fluent in Python for Data Science and possess strong skills in at least two of these: Data Engineering, Data Warehousing, Machine Learning (including model training, evaluation, and tuning), Predictive Modelling/ML, Data Strategy, Business Intelligence/Visualisation
- You have hands-on experience building ML models, ideally with exposure to frameworks such as scikit-learn, TensorFlow, PyTorch, XGBoost, or LightGBM
- You use project management principles to deliver technical work, managing stakeholders, cost, time, and risks
- You are a strong communicator, able to simplify technical complexity for any audience - both internal and external stakeholders
- You like to build and structure compelling presentation decks that clearly communicate insights, proposals, and recommendations to a range of stakeholders
- You thrive using cutting-edge AI tools and want to solve important real-world challenges not just produce analysis decks
- Python
- Machine Learning fundamentals
- Interpersonal, communication and consulting skills
- Presentation/storytelling ability
- Understanding of statistical analysis
- Hands-on use of AI tools
- A positive attitude and eagerness to learn
- SQL
- AWS/Azure (preference AWS)
- Familiarity with ETL processes and data pipeline orchestration (e.g. dbt, Airflow)
- Experience with data visualisation and dashboarding (e.g. Power BI, Tableau, Looker)
- Experience with LLMs (e.g., OpenAI GPT, Anthropic Claude, open-source models) through APIs and understand prompt engineering
- Retrieval-augmented generation (RAG), and embedding-based workflows
What the job involves
- Title: Senior Analyst
- Analyse complex datasets and translate findings into actionable recommendations
- Drive project workstream delivery and take ownership of analysis, pipelines, ML models, or visualisations
- Design, train, and test machine learning models, including supervised/unsupervised learning, neural networks, and LLM-based solutions, to solve client challenges
- Mentor junior colleagues and independently run critical workstreams
- Collaborate with senior clients, powering business strategies with evidence and AI-driven insights
- You will be responsible for developing consulting deliverables including analysis of business processes and value mapping
- Help shape QuantSpark’s evolving methods and standards as we scale
- In your first three months, your immediate tasks will be to quickly up-skill on new tools, deliver effective client presentations and deliverables and embed yourself into the team. You’ll have a key role in contributing to our culture, whilst proactively shaping your development plan
- You'll join our Analytics and Consulting team, (a team of around 8) on live client engagements. The team works closely with our engineering and product colleagues, so you'll be delivering analysis as part of a wider effort
- In three to five years, you'll be
- Confidently leading parts of analytical projects, with growing technical and client interaction skills
- Trusted by colleagues and clients as a reliable problem solver and communicator
- Positioned for career advancement within a fast growing company that rewards initiative
Benefits
- Tech for good: We are passionate about giving our team the chance to have a real social impact and will have the opportunity to work on a wide variety of impactful projects
- Training budget: Everyone in QuantSpark has £6,000 training budget and 12 ring-fenced days a year to spend on their own professional development
- Work anywhere in the world for up to 1 month per year
- Generous EMI Share Options scheme
- Socials, clubs and guilds to connect with colleagues and share knowledge
- Hybrid working (2-3 days in office per week)
- Dog friendly office
- Cycle to work scheme (and we have onsite showers!)
- 25 days annual leave + bank holidays + buy/sell 5 days annual leave
- Pension matched up to 6%
- Vitality Private healthcare
- Annual performance bonus: Company profit share scheme and a personal performance bonus of 10%
- Enhanced maternity, paternity, and shared parental leave
- Free annual Headspace subscription
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