At QuantSpark, we’re transforming how data and AI serve society. We combine the analytical discipline of strategy consulting with the pace and ownership of a scale-up. That means you’ll work directly on the problems that matter most - whether combating economic crime, modernising government services, or accelerating commercial growth for FTSE 100 companies.
Here, you’ll compress years of traditional career progression into 2-3 years. From day one, you’ll support and deliver end-to-end projects, access leadership directly (including the CEO), and build cross-industry expertise that usually takes a decade to gain.
We don’t just analyse or advise - we build, own, and scale solutions that shape the organisations we work with and have meaningful societal impact.
QuantSpark’s partners span:
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Private Equity & Financial Services: Value creation analytics, risk identification, and portfolio performance for global investment and wealth managers.
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Retail & Consumer: Pricing optimisation, inventory efficiency, and personalised engagement for leading UK consumer brands.
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Asset Management: Data-driven systems, risk automation, and alternative data for top asset managers.
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Public Sector: Fraud analytics, predictive maintenance, and supply chain solutions for multiple UK government departments.
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SaaS & Manufacturing: Data-powered transformation across startups and global manufacturers.
Title: Senior Analyst
Office Environment: Hybrid (2 days per week in London Blackfriars office)
Type: Full time, permanent
Industry: Consulting
Applicants must have full right to work in the UK. We are unable to provide sponsorship for this role.
As a Senior Analyst, you will:
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Analyse complex datasets and translate findings into actionable recommendations.
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Drive project workstream delivery and take ownership of analysis, pipelines, ML models, or visualisations.
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Design, train, and test machine learning models, including supervised/unsupervised learning, neural networks, and LLM-based solutions, to solve client challenges.
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Mentor junior colleagues and independently run critical workstreams.
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Collaborate with senior clients, powering business strategies with evidence and AI-driven insights.
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You will be responsible for developing consulting deliverables including analysis of business processes and value mapping.
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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.
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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.
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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
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You have hands-on experience building ML models, ideally with exposure to frameworks such as scikit-learn, TensorFlow, PyTorch, XGBoost, or LightGBM.
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You use project management principles to deliver technical work, managing stakeholders, cost, time, and risks.
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You are a strong communicator, able to simplify technical complexity for any audience - both internal and external stakeholders.
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You like to build and structure compelling presentation decks that clearly communicate insights, proposals, and recommendations to a range of stakeholders.
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You thrive using cutting-edge AI tools and want to solve important real-world challenges not just produce analysis decks.
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Python
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Machine Learning fundamentals
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Interpersonal, communication and consulting skills
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Presentation/storytelling ability
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Understanding of statistical analysis
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Hands-on use of AI tools.
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A positive attitude and eagerness to learn.
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SQL
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AWS/Azure (preference AWS)
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Familiarity with ETL processes and data pipeline orchestration (e.g. dbt, Airflow)
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Experience with data visualisation and dashboarding (e.g. Power BI, Tableau, Looker)
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Experience with LLMs (e.g., OpenAI GPT, Anthropic Claude, open-source models) through APIs and understand prompt engineering
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Retrieval-augmented generation (RAG), and embedding-based workflows
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A growth environment with mentorship and the chance to build your skills quickly
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Clear visibility into how your work contributes to client outcomes
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An extremely innovative environment, with exposure to cutting edge AI
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Real ownership from day one, with the chance to work on meaningful client projects
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The freedom to bring new ideas and ways of working to a project, backed by a team that values initiative
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Client exposure that builds practical, commercial skills fast
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A close-knit and highly collaborative team that works directly with our engineering and product colleagues on projects
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Confidently leading parts of analytical projects, with growing technical and client interaction skills
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Trusted by colleagues and clients as a reliable problem solver and communicator
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Positioned for career advancement within a fast growing company that rewards initiative
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£6,000 annual per person training & development budget to stay at the cutting edge, to be used as you like. This includes 12 ring-fenced learning days a year.
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Pension for long-term financial security.
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Comprehensive private healthcare via Vitality.
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EMI share options
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Work from anywhere in the world up to 4 weeks per year.
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25 days holiday, with the ability to buy or sell up to 5 additional days.
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Cycle-to-work scheme
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Pet friendly office
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Central London office with premium refreshments, team socials, and collaborative atmosphere.
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Exclusive discounts on retail, travel, tech, and fitness memberships.
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Access to cutting-edge tools and platforms, plus regular tech talks and innovation sessions.
We strongly believe that diversity of people and ideas is essential for the well-being and effectiveness of our team, and we are committed to creating a company where diversity in culture, experience, and background is truly valued. Diverse and inclusive teams bring different perspectives and ideas that help better serve our clients and help us all develop. QuantSpark is an equal opportunities employer and makes every effort to ensure that all potential employees are treated fairly and equally, regardless of their sex, sexual orientation, marital status, race, colour, nationality, ethnic or national origin, religion, age, or disability.
