Job Description
Senior Data Scientist
Department: Data: Analytics
Employment Type: Permanent - Full Time
Location: London, UK
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. We work closely (often on site) with our clients; to deliver impact 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.
The Role: Senior Data Scientist
Transform is looking for a Senior Data Scientist to join our Data Science team, with a strong focus on applied AI, machine learning and large language model solutions.
We are looking for someone who is technically strong, curious and pragmatic. You should be comfortable working with emerging AI technologies, but focused on delivering useful, reliable and explainable solutions rather than experimentation for its own sake.
You will be expected to bring senior-level judgement to data science and AI work: choosing & implementing the right approach, communicating trade-offs, managing uncertainty and helping others understand how data and AI can be used responsibly to solve real business problems.
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
- Establish successful working relationships 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 lead data science projects 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 benefits
Our culture is built on:
- Raising the bar
- Looking out for each other
- Embracing our differences
- Shaping a changing world
- We’re all in
Our benefits include:
- Holiday entitlement, 28 days with the option to buy/sell up to 5 days (note that 3 days are held for Christmas holidays)
- 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 schemes
- Gym & retail discounts
- Regular social events/activities
- A range of other benefits from our flexible benefits package
At Transform, you can expect meaningful work, with real impact and the space to grow as people as well as a professional.
You’ll work alongside curious, authentic experts who care deeply about doing the right thing, for our clients and for each other with no egos, no blame, and no standing on the sidelines.
We’re all in on creating an environment where people feel supported, included and trusted to do their best work. In return, we ask for curiosity, honesty and a willingness to lean into learning, quality, teamwork, and to making change that truly lasts.
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 Interviews
We value authenticity and transparency in our hiring process. To ensure fairness and accuracy in assessing your skills and experience, we ask that you refrain from using AI-assisted tools to generate answers during the application process or within interviews.
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!
