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Key ResponsibilitiesDesigning and developing software tools to support research workflowsWorking with data, metadata, and research infrastructure systemsContributing to both user-facing and backend systemsT

This full-time role involves designing risk analytics solutions, building data ingestion pipelines, and developing cloud-native applications with Python. Ideal candidates will have 5+ years of experience in Python, strong cloud infrastructure knowledge, and an understanding of quantitative finance.

You will be joining an innovative team and will be a key contributor to our suite of reporting and analysis tools, which provide insights to risk and trading teams through Python, Excel, and web-based platforms. The technology stack within our team is primarily C# and Python backends, SQL databases,

Master's in Science (IT/Computer Science/Engineer).

You’ll be working at the intersection of machine learning, engineering, and real-world industrial data, building solutions that customers rely on immediately. Work closely with Data Engineers and DevOps to productionise models at scale. Strong experience with Python, R, or similar.

Ideal candidates should have a strong foundation in data science, programming experience (preferably in Python), and a curiosity about the energy sector.

Work with large scale, time series datasets to engineer features and improve model accuracy. Experience working with high volume or time based data, including feature engineering.

Conduct exploratory data analysis, perform large‑scale data queries, and build scalable ETL pipelines using Python, Spark, Synapse, and Neo4j in an Azure cloud environment. Experience with programming languages such as Python. HS diploma and 8+ years of experience in mathematics, statistics, or da

The ideal candidate should have strong Python and SQL skills and a passion for solving complex data problems.

Are you a Data Scientist who enjoys building real‑world models that drive commercial decisions, not just experimentation? I'm hiring for a Data Scientist to join a leading data and analytics consultancy working across customer insight, marketing, and predictive modelling.This is a brilliant opport

Assist DevOps engineers with packaging and deploying ML models, helping them understand AI-specific requirements and performance nuances.

A leading recruitment agency in analytics is seeking a Capacity Planning Data Scientist in Middlesex.This role involves designing machine learning models, utilizing large datasets, and applying simulation techniques to support planning decisions.Ideal candidates will have a Master’s in a quantitat

The ideal candidate has a strong technical foundation in statistics, machine learning, and Python, with experience in SQL and deployment in production environments.

You’ll collaborate with product managers, designers, and engineers to build and maintain the core systems that power the company. Demonstrable knowledge of Python AI libraries e. Software development experience in Python (with Django and Go).

You’ll work closely with our product, engineering, marketing and user acquisition teams. You’ll work alongside the data analysts and data engineer in the data team to clean, transform, and build new datasets. Strong Python and SQL knowledge.

Lead, mentor, and grow a multidisciplinary team spanning data science, ML engineering, and bioinformatics. Expert‑level skills in Python and modern ML frameworks. Collaborate with world‑class scientists, engineers, and research institutions.

Develop algorithms and code, primarily using Python and R, and integrate these into our products. Strong mathematical and statistical background; expertise in Python and R, including libraries like Numpy, Pandas, Pytorch and Scikit-learn.

A London-based technology company is seeking an experienced Data Scientist to join their expanding Data function.The role involves analysing large scale data sets, designing bespoke models, and visualising actionable insights for clients.Candidates must have over 3 years of relevant experience, stro

The ideal candidate will have a robust data science background, proficiency in Python and SQL, and approximately two years of relevant experience in the field.

The role involves exploring data, building models, and collaborating with teams across data, AI, software engineering, and product. Ideal candidates will possess strong programming skills in Python or R, understanding of machine learning methods, and the ability to communicate findings clearly.

BNP Paribas Personal Finance is seeking a Data Scientist to join their Analytics team in Solihull.The role involves using advanced analytical methods to generate actionable insights and drive commercial value.Responsibilities include deploying analytical techniques, exploring new technological solut

A leading insurance firm is seeking a Lead Data Scientist to develop and implement telematics models to improve pricing and risk management.This role involves collaboration with various teams and mentorship of junior data scientists.The ideal candidate will have proven experience in data science wit

The Data Science team is part of a larger data and analytics group that has separate functions for Data Analytics, BI, and Data Engineering. Work with senior DS and ML engineers to productionise solutions. Engineering and Information Technology.

Expert in Python and experience with R programming and ideally MMM models.

Collaborate closely with data engineers, software engineers, and business stakeholders to deliver end-to-end solutions. Strong development experience in at least one object‑oriented programming language (Python, Java, etc.

Collaborate with engineers to integrate your data science solutions into our platform. Strong programming skills in Python, with proficiency in data science libraries (NumPy, Pandas, scikit‑learn). You'll work alongside our skilled team of engineers and machine learning experts, directly contribut

Capacity Planning & Simulation Data Scientist.Middlesex (3 days onsite, 2 days from home).A market leading global logistics organisation is seeking an Airport Capacity Planning Data Scientist with strong experience in discrete event simulation, operational research and capacity modelling.This role s

Perform exploratory data analysis and feature engineering. Collaborate with Data Engineers to ensure data readiness for modeling. Proficiency in Python and ML frameworks (TensorFlow, PyTorch).

Highly practised in use of data analysis tools (Python, R, SAS, SQL, etc) and with experience of developing predictive models.

A market-leading global logistics organisation is seeking an experienced Capacity Planning & Simulation Data Scientist.In this role, you will build and calibrate discrete event simulation models to support operational decisions in a complex environment.Experience in operational research, capacity mo

Responsibilities include designing algorithms, collaborating with engineers, and enhancing analytical capabilities. Ideal candidates hold a relevant degree and have experience with Python, data visualization tools, and SQL.

Working closely with engineers, designers, and product managers to ensure solutions are scalable, maintainable, and impactful. Programming experience — ideally in Python or transferable from other languages (e. Engineering and Information Technology.

The ideal candidate will have a strong mathematical and statistical background, experience in Python and R, and the ability to integrate models into software applications.

Booz Allen Hamilton is hiring for a data engineering role in Cambridgeshire, UK. The candidate will process and exploit large data sets, build ETL pipelines using Python and Spark, and develop machine learning models. Key qualifications include over 4 years of experience with data engineering and bi

A technology consulting firm is seeking a Data Scientist for a 12-month contract based in Heathrow with hybrid working.The role involves developing advanced models and analytics to derive value from operational data, requiring strong AI/ML expertise.Responsibilities include designing predictive mode

The ideal candidate has over 5 years of experience in Data Science and a strong command of Python or R. You'll collaborate closely with engineers and stakeholders to translate complex data into actionable insights and continuously improve model performance.

Engineer prompts and design Retrieval-Augmented Generation (RAG) datasets. Excellent Python skills, including both exploratory scripting and production‑ready code. Deep understanding of data preparation for large language models, including prompt engineering, embeddings and vector databases, RAG d

Experience with Databricks, along with proficiency in Python and R, is essential for success in this role, which offers opportunities for mentoring and collaborative projects.

Information Technology and Engineering. You will collaborate with cross-functional teams across product, engineering, and operations to design, build, and deploy scalable data-driven solutions. You will use your expertise in statistical modelling, machine learning, and data engineering to develop, d

Strong experience in Python & SQL - this will be tested in the interview.

Familiarity with deploying models into production environments, collaborating with engineering teams, and using tools like MLflow or Weights & Biases for experiment tracking and reproducibility. Proven ability to work cross‑functionally with data scientists, engineers, and non‑technical stakehol

This role involves analyzing messy datasets, engineering prompts, and collaborating with a team on innovative AI solutions, all while being a key contributor to impacts on government services. A leading recruitment firm is seeking a skilled Data Scientist / Machine Learning Engineer for a remote opp

A recruitment agency is seeking an experienced Data Scientist to design and deliver scalable data science and machine learning solutions in London.The role requires strong programming skills, with a focus on statistical analysis and machine learning.Collaborative ability in complex environments is e

Working closely with colleagues across engineering, product and operations, you’ll translate real business questions into practical, impactful insights—bringing curiosity, collaboration and clarity to everything you do. Making day-to-day technical decisions on feature engineering, model selectio

The successful candidate should have familiarity with Python, SQL, R, and data visualization tools such as Power BI or Tableau.

A leading gaming operator in the United Kingdom is seeking a Data Scientist to contribute to data science projects that support commercial initiatives.Ideal candidates will have 1-2 years of experience in a data science role and a strong background in statistical modelling and machine learning.This

The role requires excellent Python skills, client-facing experience, and an understanding of machine learning and cloud platforms.

Candidates should have expertise in demand prediction, computer vision, and LLMs, along with strong Python skills.