Data Scientist
Department: Data: Analytics
Employment Type: Permanent – Full Time
Location: London, UK
Description
About us
We’re Transform. Transform is a fresh alternative to Big Consulting. As an end-to-end transformation partner, we define, design, build and operate systems that solve our clients’ toughest challenges and seize their biggest opportunities. That often means combining strategy, data, AI, technology, and change management. Sometimes we manage and operate the systems we create; other times, we hand it over for the client to run – standing by to make improvements when things change. It all comes down to making an impact: improving lives, supporting citizens, streamlining workflows, and making the world a better place. We specialise in public sector and public-facing organisations—from government agencies and local authorities to energy, utilities, transportation and healthcare. We also work for some of the world’s most dynamic brands across automotive, retail, financial services, and consumer goods.
In 2024, Transform acquired Cadence Innova, the UK’s leading public sector change consultancy. The result is a fresh kind of partner: together, we’re able to deliver change from the very first ideas through to deployment—building on our deep relationships at every level of government.
We’re part of the Next 15 group, a multi-national organisation spanning over 25 brands. We combine the financial robustness and breadth of services of a large organisation, with the nimbleness and innovation of a smaller brand.
If you are keen to help us build the workforce of the future, we should talk.
We’re all in! That’s what gets us out of bed every day. We hope you feel the same.
Data ScientistTransform is looking for a Data Scientist to join the Data Science team, with a strong focus on applied AI, machine learning and large language model (LLM) solutions. This role will play a key part in designing, building and deploying data science and AI-driven solutions that deliver practical value for clients and internal teams.
The Data Scientist will work closely with analysts, engineers and the Lead Data Scientist to explore, prototype and productionise advanced analytical and AI capabilities, including retrieval-augmented generation (RAG), LLM-powered applications, and machine learning models.
Key Responsibilities
AI, Machine Learning & Advanced Analytics
- Design, build and deploy machine learning models to solve real-world business problems, including classification and optimisation use cases
- Develop and implement LLM-based applications, including prompt engineering, fine-tuning where appropriate, and orchestration of model/agent workflows via tools like LangChain.
- Build and maintain RAG, GRAPH pipelines, including document ingestion, embedding generation, vector search and retrieval strategies
- Evaluate model performance and trade-offs, balancing accuracy, explainability, cost and scalability
Data Science & Engineering Practices
- Use Python as the primary language for data science and ML development.
- Write, optimise, and maintain SQL queries against relational databases to support analytics, feature generation, and model development.
- Collaborate on data pipelines and feature engineering to support model development and deployment
- Apply statistical and analytical techniques to inform insights and actions from the data.
- Work with structured and unstructured data, including text-heavy datasets used in LLM and RAG/GRAPH solutions
- Contribute to model deployment approaches with our DevOps team, including APIs, batch processes and integration with existing analytics platforms
Cloud, Platforms & Tooling
- Work with cloud-based platforms and services (e.g. AWS, Azure, GCP) to support model training, deployment and scaling
- Use and evaluate modern AI tooling, frameworks and libraries (e.g. PyTorch, scikit-learn, LangChain/Graph/Smith, Vector databases, Graph Structures)
- Support experimentation and prototyping, helping move promising ideas into production-ready solutions
Collaboration, Insight & Communication
- Work closely with business stakeholders and Domain leads to translate business problems into data science and AI solutions
- Partner with the Lead Data Scientist to identify new AI-driven opportunities and help shape Transform’s AI capability and offerings
- Clearly communicate complex technical concepts, assumptions and outputs to non-technical audiences
- Document approaches, models and learnings to support knowledge sharing and reuse
Skills, Knowledge and Expertise
- Strong hands-on experience in data science and machine learning, with evidence of delivering production or near-production solutions
- Solid experience building models and applying statistical techniques using Python (experience with R is desirable but not essential)
- Practical experience with LLMs, including prompt engineering and building LLM-enabled applications
- Experience designing or working with RAG architectures, embeddings and vector search
- Strong understanding of machine learning fundamentals, including model evaluation, bias, overfitting and explainability
- Experience working with cloud services for data science and AI workloads
- Familiarity with MLOps or model deployment practices is desirable (e.g. versioning, monitoring, reproducibility)
- Strong problem-solving skills and a pragmatic mindset. Focused on delivering value, not just experimentation
- Ability to work independently while collaborating effectively in multidisciplinary teams
- Excellent communication skills, with the ability to explain complex concepts simply
- Curiosity and enthusiasm for emerging AI technologies, with a desire to continuously learn and experiment
Our culture and our benefits
Our culture is built on:
- Being one team; looking out for each other as a team
- The world never stops changing and we’ll never stop learning
- Infinity & Beyond; we’re crazy ambitious, not afraid to fail along the way (it’s just falling with style)
- Integrity is everything; we’re honest with each other and with our clients
- Diversity is our superpower; everyone’s story is different, and we celebrate differences
- We’re all in; we take on tough, complex challenges with lots of moving parts and we’re committed to the work, our clients and each other
Our benefits include:
- Holiday entitlement, 28 days with the option to buy/sell up to 5 days
- Day off (on or in the week of) your birthday
- Pension eligibility, up to 5% matched contributions
- Private healthcare
- Life assurance
- Enhanced maternity and enhanced paternity and shared parental leave
- Cycle to work & electric car schemes
- Gym & retail discounts
- Regular social events/activities
- A range of other benefits from our flexible benefits package
At Transform we believe in a culture of inclusivity, we celebrate difference and believe that diversity makes our business more relevant, our work more meaningful and our people more empowered. We’re committed to equality of opportunity for all, and we actively seek applications from all ethnicities, orientations, beliefs, gender identities + those with neurodiverse traits and disabilities. We want you to have the best opportunity to show us who you are and what you can do. Please do let us know if you need any adjustments now or at any point in the recruitment process.
If this sounds like you, please get in touch to discuss in more detail.
Use of AI in CV and InterviewsWhilst we are a technology company and promote using AI the right and ethical way, we value authenticity and transparency in our hiring process. To ensure fairness and accuracy in assessing your skills and experience, we kindly request that you refrain from using AI-assisted tools to generate answers during interviews or enhancing your CV.
We are looking for genuine insights into your abilities, experiences, and personality. Any misrepresentation through AI-generated content may impact our ability to make an informed decision. We look forward to getting to know the real you!
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