SQL is required - Demonstrated leadership in steering data science initiatives towards impactful outcomes - Proficiency in both written and verbal communication - Strong expertise in traditional statistics and machine learning methodologies - Familiarity with git and cloud computing platforms (such as AWS, GCP, or Azure) is desirable - Previous experience in mentoring and guiding more »
skills: Professional level of tools such as Python, SQL, R and Excel. Academic degree in highly quantitative discipline or specialization such as Physics, Mathematics, Statistics, Engineering, Quantitative Economics, Computer Science. Previous experience in the Financial Crime Compliance field and good understanding of anti-money laundering/financial crime controls. Previous more »
to take on responsibility on high-value projects with dynamic structures.Experience leading and developing ambitious, high-performing teams- preferably in a Consulting environment.Excellence in statistics and quantitative analysis (theoretical and practical knowledge, intuition, ability to understand models and apply them).Expert programming skills in one or more analytical languages such more »
standards Collaborate, coach, and learn with a growing team of experienced Data Scientists Skills/Qualifications: Bachelor’s in Data Science, Computer Science, Engineering, Statistics and 5+ years experience required OR MS or PhD in quantitative discipline and demonstrated Data Science skill set, plus 2+ years work experience Extensive knowledge more »
predictive analytics and decision-making Develop interactive and user-friendly data visualisation tools What we'd love to see: A degree in Computer Science, Statistics, Mathematics or related discipline Proficiency in R Shiny SQL for data manipulation and analysis What's in it for you: Salary of up to more »
usage metrics to identify trends and patterns in customer behaviour. Key Qualifications: Advanced degree (MS or PhD) in a quantitative field such as economics, statistics, applied mathematics, data science, business, or related discipline. 5-7 years of hands-on experience in developing advanced Tableau data visualisations, dashboards, and reporting. Proficiency more »
techniques and their applications within the marketing consultancy space (NLP, Computer Vision, LLMs) REQUIREMENTS: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Proven experience in customer-driven modeling, with clear commercial impact and value highlighted Excellent communication more »
the latest developments and techniques that could be applied to your work. The role will be fairly analytical, so a background in Mathematics/Statistics/Economics is highly beneficial to add a deeper level of understanding to models you build. Joining a start up can require you to wear more »
experience required. - offering rapid growth and rewards based on ability, attitude and performance. Ideally, you will have graduated with a Bachelors degree in Mathematics, Statistics, Computer Science or a similar field with strong outcome (2:1 or above) Have acquired some underwriting-related experience - course work, CII certification, work experience more »
not have had the chance to do so before. Skills and experience required: Educated to degree level or higher in a numerate subject; Mathematics, Statistics, Economics, Operational Research, Physics, Chemistry, Engineering or Computer Science). An advanced user of SQL with the ability to code from scratch. Exposure to data more »
subject matter expertise in valuable areas for the business. Requirements: degree in STEM field or equivalent. Advanced degree preferred but not required. knowledge of statistics, machine learning, forecasting, NLP, computer vision, optimisation. Python programmer with experience building data pipelines and statistical/machine learning models. Additional languages preferred, particularly HTML+CSS+JavaScript more »
of the team and the firm Required qualifications, capabilities, and skills Advanced degree in analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis, Operations Research) Experience in the application of AI/ML to a relevant field, Demonstrated practical experience in machine learning techniques, supervised, unsupervised more »
the organization To do this, you will need: Master’s degree or doctorate in an appropriate field, such as data science, computer science, applied statistics, mathematics, or equivalent Experience applying machine learning models in an appropriate biological domain or equivalent data context, such as on imaging or chemical structure data more »
and bring stakeholders on the journey with themWhat we’re looking forA strong quantitative academic background likely to consist of a university degree (e.g. statistics, mathematics, physics, machine learning, engineering)Experience of generating data science solutions by working with customer data to drive business activity is crucial.Experienced at managing a more »
studying for CCAB professional qualification - or equivalent experience in a costing or data analyst role. Desirable Level 4 or higher qualification in Data Analysis, statistics or Business Intelligence Professional/Statutory Registration Essential Hold a post-graduate accountancy qualification (CCAB) or equivalent experience and able to demonstrate continuing professional development more »
with a strong track record will be given an allocation of risk to manage. Requirements: Advanced degree in a quantitative discipline such as Mathematics, Statistics, Computer Science, Financial Engineering. Prior experience in systematic trading, algorithmic trading, or quantitative research within a hedge fund or proprietary trading firm. Strong programming skills more »
in areas of business development. Use programming languages such as Python, and SQL. REQUIREMENTS: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Excellent verbal and written communication skills with the ability to effectively explain technical solutions to a wide range of audiences. Extremely self more »
Greater London, England, United Kingdom Hybrid / WFH Options
trg.recruitment
learn to push the boundaries of AI. We're Looking For: Proven experience building and deploying models (FinTech/healthcare preferred), strong grasp of statistics, ML techniques, and cloud platforms (AWS, Azure, GCP), and containerisation expertise (Docker, Kubernetes). Experience in agile environments (OKRs), excellent communication and collaboration skills, passion more »
problem-solving skills; Excellent communication and presentation skills, in particular to senior stakeholders; Financial knowledge of Delta 1 and Equity Derivatives products; Understanding of statistics and financial mathematics. more »
about industry developments, emerging technologies, and best practices in digital advertising analytics. Requirements: Bachelor's degree in a relevant field such as Business, Marketing, Statistics, Economics, or a related discipline. Proven experience in data analysis, preferably within the digital advertising or marketing industry. Proficiency in analytical tools and platforms such more »
on industry trends and advances in data science Requirements: Essential: 1-2 years of experience in a data-focused industrial environment Degree in Mathematics, Statistics, or a related field, with a strong academic track record Exceptional problem-solving and analytical abilities Proficiency in Python, particularly with the pandas library Strong more »
the latest developments and techniques that could be applied to your work. The role will be fairly analytical, so a background in Mathematics/Statistics/Economics is highly beneficial to add a deeper level of understanding to models you build. Joining a start up can require you to wear more »
seeking new ways of utilizing data/providing solutions that make impact Qualifications (Hard Skills): • MSc or PhD level Computer Science, Machine Learning, Applied Statistics, Mathematics (Russell Group) • 4+ years of hands-on experience in applying data science as a Data Scientist, Quant Researcher, or Quant Developer • Python (3), high more »
colleagues challenging and rewriting the rules, not just following them. What we expect from yo 2 to 3 years of experience required Degree in Statistics, Maths, Physics, Economics or similar field Programming skills (Python and SQL are a must have, Pyspark is recommended) Analytical Techniques and Technology Experience with and more »
experience:Well versed in marketing analytics, ideally in roles such as a similar analyst positionBachelor's Degree in an analytical field (Mathematics, Economics, Engineering, Statistics, etc.)Demonstrated passion for data and its ability to convey insightsProven track record of success in monitoring and analysing brand marketing campaignsExpertise in marketing effectiveness more »
