role. Strong knowledge of machine learning algorithms, statistical modelling, and data mining techniques. Proficiency in data science toolkits and programming languages such as Python, R, SQL, and SAS. Previous project experience of ESG, Net-Zero Strong data visualisations with Tableau or Power BI Master’s degree in data science, Computer more »
PhD is a plus. Experience: 3+ years of experience in data science, preferably within the energy or utilities sector. Technical Skills: Proficiency in Python, R, SQL, and big data technologies such as Hadoop, Spark, or Kafka. Experience with machine learning frameworks such as TensorFlow or PyTorch. Analytical Skills: Strong problem more »
collection systems and processes - Ensure data accuracy and compliance Qualifications - 2+ years data analysis experience, preferably in an agency - Proficient in SQL, Python or R for data work - Experience with visualization tools like Tableau, Power BI - Skilled in analytics platforms like GA4, Adobe Analytics - Strong communication abilities - Collaborative mindset - Degree more »
practices in data analysis. Requirements: Bachelor's degree in mathematics, statistics, computer science, or related field. Proficiency in data analysis tools such as Python, R, or SQL. Strong analytical and problem-solving skills. Attention to detail and a passion for working with data. Ability to work effectively in a team more »
practices in data analysis. Requirements: Bachelor's degree in mathematics, statistics, computer science, or related field. Proficiency in data analysis tools such as Python, R, or SQL. Strong analytical and problem-solving skills. Attention to detail and a passion for working with data. Ability to work effectively in a team more »
practices in data analysis. Requirements: Bachelor's degree in mathematics, statistics, computer science, or related field. Proficiency in data analysis tools such as Python, R, or SQL. Strong analytical and problem-solving skills. Attention to detail and a passion for working with data. Ability to work effectively in a team more »
TW1, St. Margarets and North Twickenham, Greater London, United Kingdom
Career Sprint
practices in data analysis. Requirements: Bachelor's degree in mathematics, statistics, computer science, or related field. Proficiency in data analysis tools such as Python, R, or SQL. Strong analytical and problem-solving skills. Attention to detail and a passion for working with data. Ability to work effectively in a team more »
theoretical and practical knowledge, intuition, ability to understand models and apply them).Expert programming skills in one or more analytical languages such as Python; R or alternative.Experience in cloud-based infrastructures such as AWS, Google Cloud, Microsoft Azure and confidence in Linux (bash, git docker) environments.The ability to adapt rapidly more »
and practical knowledge, intuition, ability to understand models and apply them). Expert programming skills in one or more analytical languages such as Python; R or alternative. Experience in cloud-based infrastructures such as AWS, Google Cloud, Microsoft Azure and confidence in Linux (bash, git docker) environments. The ability to more »
Mathematics, or a related field. Proven experience in a pricing analyst role, preferably within the insurance sector. Proficiency in machine learning tools (e.g., Python, R, SQL) and familiarity with actuarial principles. Strong analytical, problem-solving, and communication skills. Ability to work independently and collaboratively in a dynamic environment. more »
flexibility, agile mindset, teamwork, lean & 6Sigma principles, and actively pursue self-studies to maintain knowledge. The candidate: Proficiency in SQL, statistical modelling software (e.g., R, Python), Excel (advanced), Qlik Sense or Power BI gained in an analytics role. Strong verbal and written communication skills, translating detailed reporting outputs and statistics more »
experience in quantitative finance or a related role, with a focus on developing and implementing quantitative trading models and strategies. Strong proficiency in Python, R, or similar languages, with experience in relevant quantitative finance libraries and frameworks. In-depth understanding of financial markets, instruments, and risk management principles, as well more »
years Demonstrated experience in data architecture or similar role Practical experience across a variety of platforms and languages i.e.Databricks, Snowflake, Azure, AWS, Oracle Cloud, R, Python or similar Understanding of data management best practices including demonstrated experience with data profiling, sourcing, and cleansing routines utilizing typical data quality functions involving more »
ability to translate complex data into actionable strategies. Excellent communication skills to present data insights to stakeholders. Nice To Haves: Proficiency in SQL, Python, R, or other statistical programming languages. Prior experience in media analytics, particularly within a podcasting or digital content creation environment. Knowledge of content recommendation algorithms and more »
Must offer track record of working (ideally) in the Insurance or Financial Services Industry Advanced experience in coding with SQL, Python and/or R Offer strong knowledge of AI, GenAI, NLP. Offer strong knowledge of Machine Learning and Deep Learning Offer good knowledge of ML Ops (Docker, Kubernetes, CI more »
to define needs and build data solutions to ensure a competitive advantage Collect and analyse datasets Leverage prior experience in the use of SQL, R, Python and data visualization tools Bring your understanding of the role of (insurance) risk underwriting, and develop data models to enhance the value of risk more »
Master’s degree in business or other applicable discipline Hands-on analytical experience Power BI or comparable BI software (Tableau, Looker, Qlik, etc) SQL, R, Python or equivalent statistical modeling tools (e.g., Regress, SAS, etc more »
making and its associated algorithms is essential Strong understanding of financial markets, trading dynamics, and market microstructure. Proficiency in programming languages such as Python, R, or C++, with experience in quantitative libraries and tools (e.g., NumPy, pandas, TensorFlow). Experience with data analysis, statistical modeling, and machine learning techniques applied more »
subject (computing, programming, mathematics, statistics, actuarial science, or another technical field) Highly skilled in statistical, modelling and scripting programming languages such as Python and R, or similar, as well as visualisation packages Expert in data management programming such as SQL Experience bringing predictive models into a production environment Possess vast more »
subject (computing, programming, mathematics, statistics, actuarial science, or another technical field) Highly skilled in statistical, modelling and scripting programming languages such as Python and R, or similar, as well as visualisation packages Expert in data management programming such as SQL Experience bringing predictive models into a production environment Possess vast more »
or data scientists, managing their priorities and development with a track record of leading them in a fast-paced environment.Extensive programming ability across Python, R and strong ability to use SQL, with a proven experience of analysing data in a corporate environment.Experience working at scale and in particular with cloud more »
and service delivery within a public service environment. Working knowledge of statistical software packages (e.g. Alteryx, PowerBI) and underlying program language tools such as R, Python and SQL. Expertise concerning the underlying principles and techniques of data analytics within the context of counter fraud, for example rule-based analytics, machine more »
or Ph.D.) in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering. Strong programming skills in languages such as Python, R, or C++. Proficiency with statistical and machine learning techniques. Experience with data analysis and quantitative modeling in financial markets. Familiarity with futures markets and intraday more »
