benefits of data science approaches to existing and potential customers Requirements: 2/3 years in data science or a related field, or a Master’s degree. Proficient in Python (core skill), with strong experience in SQL, AWS, and CI/CD pipelines Strong Data Science and Machine Learning fundamentals Strong experience with clustering, time-series forecasting, and regression techniques. More ❯
applying statistical thinking to real-world business problems. The Candidate Key attributes of a suitable Data Scientist include: 2–5 years’ experience in data science or analytics, with strong Python and SQL skills Practical knowledge of machine learning techniques and tools (e.g., scikit-learn, XGBoost) Experience working with real-world datasets and presenting insights to stakeholders Excellent communication skills and More ❯
data issues and determine the best solution. Essential skills: Advanced SQL for data querying and analysis Strong analytical and problem-solving skills Excellent communication and stakeholder management abilities Desirable: Python for light data analysis or automation Experience in data quality frameworks Willingness to learn Microsoft Fabric Previous experience in Data Quality will also be valuable. This is an initial More ❯
approaches to stay competitive in dynamic and data-rich sports markets. Requirements: MSc, PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment. Strong background in mathematics, statistics, or a related quantitative field Experience in developing More ❯
SQL - all three are key requirements Previous experience in a client-facing or consulting role Exposure to customer analytics and understanding of commercial data Familiarity with cloud platforms and Python is beneficial More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Harnham
work with broader strategic goals under a “One Team” approach. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment. **Please note that this role does not offer visa sponsorship** How to Apply More ❯
Experience building and calibrating statistical/mathematical loss models, ideally across multiple perils. Proficiency with geospatial data (climate and Earth observation) and economic damage datasets. Strong programming skills in Python, R, or a similar language. Excellent communication skills, able to explain complex concepts to non-technical audiences. A self-starter who thrives in a fast-paced R&D environment. Experience More ❯
inbound and outbound flows. What We’re Looking For Proven data science experience, ideally focused on pricing and revenue optimisation. Proven leadership in growing and mentoring data teams. Strong Python and SQL skills, with experience in cloud platforms such as Google Cloud. Expertise in statistical techniques such as GLMs, classification, survival models, forecasting, and optimisation. Hands-on experience with experimentation More ❯
problems into data-driven solutions and clearly communicate insights. Collaborate with stakeholders and contribute to the team’s growing body of knowledge. What We’re Looking For Proficiency in Python and machine learning techniques, with a solid understanding of their applications. Knowledge of the credit industry, including products, data, and ML use cases. Strong communication skills and the ability to More ❯
or PhD in a relevant field: Computer Science, Applied Mathematics, Statistics, or similar Desirable Experience: Experience with low-latency systems, high-frequency trading (HFT) or execution consultancy Exposure to Python for prototyping and data analytics Familiarity with distributed systems, messaging frameworks (eg Kafka), or order management systems (OMS) Position Overview: Salary: Up to £115,000 base Location: London (Hybrid More ❯
and a good understansinf in data modeling (dimensional and normalized), ETL/ELT design , and data warehousing techniques . Proficiency in SQL and experience with scripting languages such as Python or Scala . Demonstrated ability to create impactful dashboards using Power BI and Tableau . Deep understanding of data pipeline orchestration tools (e.g., Airflow, dbt, Azure Data Factory). Experience More ❯
engineering, analytics, or data science. Hands-on familiarity with modern data stacks – SQL, dbt, Airflow, Snowflake, Looker/Power BI. Understanding of the AI/ML lifecycle – including tooling (Python, MLflow) and best-practice MLOps. Comfortable working across finance, risk, and commercial functions. Experience operating in a regulated environment, ideally with exposure to dual regulation and resilience frameworks. Please note More ❯
demonstrated proficiency in numerical and statistical tools for signal development. Hands-on problem-solvers who thrive in a collaborative, meritocratic environment marked by intellectual rigor and informality. Proficiency in Python or C++, with an emphasis on high-performance computing and market microstructure. Why Join? Work on cutting-edge strategies within a highly respected global trading firm. Join a collaborative, high More ❯
PBCS, FCCS, ARCS), including environment provisioning, data loads, and maintenance. Demonstrated ability to develop and implement robust environment strategies and roadmaps. Experience with environment automation tools and scripting (e.g., Python, Shell scripting) for environment provisioning or management tasks. Strong problem-solving skills and a methodical approach to troubleshooting environment issues. Ability to influence and collaborate effectively with diverse technical and More ❯
the needs of its stakeholders, both nationally and internationally, including its members. The following skills are Essential: Relevant higher education qualification in data analysis, including programming languages such as Python and SQL. Substantial experience working in data analysis within an organisational setting. Excellent problem solving, analytical and business intelligence skills, especially working with large datasets. Excellent written and verbal communication More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Anson McCade
and awareness of ethical practices. About You: GCP/Google Cloud expertise Personal credibility with Google - experience working collaboratively with their teams, Google Premier Cloud Partner experience etc Expert Python developer with a background in building intelligent, multi-step systems. Hands-on experience with LLM frameworks such as LangChain, LangGraph, LangFlow, CrewAI, or Autogen. Proven track record designing and deploying More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Tenth Revolution Group
classification and summarisation Collaborate with clients and cross-functional teams to translate data into action What You’ll Bring Strong hands-on data science and ML experience Expert in Python and modern data science libraries Experience with AWS SageMaker, Databricks, or similar cloud tools Strong background in supervised/unsupervised learning, statistical modelling, and model deployment Solid understanding of NLP More ❯
and analysis models into the backend infrastructure * Work with platform engineers to tune deployments for hardware-limited environments What You Bring * Strong experience building secure, scalable backend systems in Python and/or Go * Deep understanding of containerised services, particularly in Kubernetes environments * Practical knowledge of orchestration tools (e.g., Argo), message buses (Kafka), and databases (especially Postgres), or equivalent technologies More ❯
Advanced Analytics: Explore new data analysis techniques like machine learning to enhance model accuracy and uncover deeper insights. Your Experience and Skills: Data Science: Proficient in programming languages like Python, R, and SQL including data manipulation, data imputation, statistical modelling, and visualisation libraries. Econometrics Background Useful: Expertise in statistical methods like linear regression, generalised linear models, panel data analysis, and More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Connexa
This is a unique opportunity to join their dynamic tech team as they prepare to launch a brand-new mobile app in September 2025. The successful candidate will spearhead Python development, becoming the first permanent Python specialist within the business, while working alongside a collaborative team of Developers, Data Engineers, and Technology Experts. With a CEO who is a strong … advocate of AI, experience and passion for AI technologies and their application in software development will be highly valued. Main Purpose of the Role: Lead and champion Python development within the organisation. Drive technical innovation across mobile app projects, backend development, and AI-driven solutions. Collaborate closely with a multi-disciplinary technology team to deliver scalable, robust solutions. Key Responsibilities … product managers, designers, and business stakeholders to translate requirements into technical solutions. What They Are Looking For: Senior-level experience (7+ years) in software engineering roles. Extensive experience with Python development. Proven experience contributing to mobile app development projects. Strong commercial experience with AWS cloud services and infrastructure. In-depth knowledge of CI/CD pipeline development and deployment automation. More ❯
PYTHON DEVELOPER - CONTRACT ROLE Location: London Rate: Up to £800/day (outside IR35) Contract: Initial 4-6 weeks, with potential for long-term extension THE OPPORTUNITY Ready to become the Python powerhouse for a globally recognised not-for-profit organisation that's shaping the future of precious metals? You'll be the go-to expert for building robust Python … data processing for major financial institutions and metals sector clients. Think of yourself as the technical bridge between complex business requirements and elegant code solutions! YOUR MISSION BE THE PYTHON GURU: Build sophisticated Python applications for internal systems and data processing Work with stakeholders to capture and translate complex requirements into technical solutions Create data pipelines that handle large datasets … WHAT WE'RE LOOKING FOR ESSENTIAL EXPERIENCE: Strong Python development experience with comprehensive knowledge of the language and ecosystem Large-scale data experience with proven track record in complex data processing Stakeholder engagement skills - comfortable working directly with business users Problem-solving expertise with ability to understand complex business needs BONUS SKILLS: PHP experience - additional web development capabilities JavaScript knowledge More ❯
architect, general IT and non-technical stakeholders Demonstrable experience using data science and advanced analytics to generate business value and change, including optimisation of production processes Great knowledge of Python and in particular, the classic Python Data Science stack (NumPy, pandas, PyTorch, scikit-learn, etc) is required; Familiarity with PySpark is also desirable. A cloud platform experience (e.g Azure, AWS More ❯
teams Drive process improvements and contribute to agile delivery Requirements: Strong experience in Data Analysis within financial services Expertise in market or counterparty risk Technical skills with SQL and Python Data Visualisation skills with PowerBI, other Automation and Metrics knowledge handy. Proficiency with tools like Jira, Confluence, Excel, and SharePoint Familiarity with Agile, DevOps, and Site Reliability Engineering Excellent communication More ❯
agile team, with full ownership of dashboarding and reporting tools. YOUR SKILLSET: 3–5 years in commercial analytics – media, tech, or FMCG a plus Strong SQL and Power BI; Python or DOMO exposure is a bonus Able to simplify complex data for non-technical leaders Self-starter comfortable working autonomously WHY APPLY? Full ownership of commercial analytics in a global More ❯
