integrity principles Some other highly valued skills may include: Experience at a large Consulting firm (preferably Analytics consulting) Experience in the financial services industry Degree in a quantitative field (Statistics, Computer Science, Mathematics, etc.) Knowledge of machine learning and AI applications Familiarity with data governance frameworks Understanding of agile methodologies Experience mentoring junior team members Knowledge of programming languages commonly More ❯
for prompt engineering or agents is preferred Cloud Expertise: Building, deploying and monitoring models on cloud like Azure, AWS or GCP is preferred. Foundational Knowledge: A strong foundation in statistics, mathematics, AI principles and programming is essential for success in this role. Ideally, you will also have Problem-Solving: Ability to translate business assumptions and rules into feature engineering and More ❯
in production environments. Knowledge Transfer: Document processes and share insights to enable continuity post-contract. Skills & Experience Required Advanced degree (Master’s or PhD) in Data Science, Machine Learning, Statistics, Computer Science, or related field. 5+ years of experience in data science roles, with proven expertise in: Machine learning (supervised/unsupervised), time series forecasting, deep learning. Programming in Python More ❯
Requirements 7+ years of experience in data science, machine learning, and AI development across structured and unstructured data. Advanced degree (Master’s or PhD) in Computer Science, Engineering, Mathematics, Statistics, or a related field (preferred) Deep experience in personalization, search, or recommendation systems (3–4 years in a product-focused environment). Expertise in deep learning architectures (e.g., attention models More ❯
Requirements 7+ years of experience in data science, machine learning, and AI development across structured and unstructured data. Advanced degree (Master’s or PhD) in Computer Science, Engineering, Mathematics, Statistics, or a related field (preferred) Deep experience in personalization, search, or recommendation systems (3–4 years in a product-focused environment). Expertise in deep learning architectures (e.g., attention models More ❯
feedback loops to measure and report on the success of Data and Information initiatives, continuously improving data practices. Qualifications and Experience : Bachelor’s degree in Data Science, Computer Science, Statistics, Business Administration, or a related field; Master’s degree or MBA preferred. 10+ years of experience in data management, analytics, or related fields, with at least 5 years in a More ❯
feedback loops to measure and report on the success of Data and Information initiatives, continuously improving data practices. Qualifications and Experience : Bachelor’s degree in Data Science, Computer Science, Statistics, Business Administration, or a related field; Master’s degree or MBA preferred. 10+ years of experience in data management, analytics, or related fields, with at least 5 years in a More ❯
culture of learning and development. Comfortable managing multiple projects and priorities with a flexible, can-do attitude. Qualifications Degree-level education in a relevant field (e.g., Data Science, Mathematics, Statistics, Computer Science, Social Sciences, Economics) or equivalent hands-on experience in a senior data or analytical role. Commitment to professional development and staying current with emerging tools, trends, and best More ❯
culture of learning and development. Comfortable managing multiple projects and priorities with a flexible, can-do attitude. Qualifications Degree-level education in a relevant field (e.g., Data Science, Mathematics, Statistics, Computer Science, Social Sciences, Economics) or equivalent hands-on experience in a senior data or analytical role. Commitment to professional development and staying current with emerging tools, trends, and best More ❯
/ML tools, OTE modeling, or pricing strategy. Certifications: Lean Six Sigma, Power BI, Tableau, or finance/commercial qualifications (CIMA/ACCA). Bachelors degree in Data Science, Statistics, Mathematics, Economics, Business Analytics, or Computer Science. Masters degree or relevant professional certifications are a plus. Why Join Us? Opportunity to influence commercial strategy and decision-making at a high More ❯
to monitor and ensure data quality and operational performance. Qualifications Bachelor's degree in Data Science, Computer Science, or a related field. Doctorate in a quantitative field such as Statistics, Computer Science, Mathematics, or Engineering. A "full stack" data scientist - with extensive expertise of data engineering, analysis and analytics, as well as machine learning. 6+ years of experience working in More ❯
with CRM systems and campaign tracking tools (mandatory) Experience in training and supporting junior team members (highly desirable) Qualifications Bachelor’s degree in a quantitative field such as Mathematics, Statistics, Data Science, Economics, Marketing Analytics, or related discipline Professional certifications in data analytics, forecasting, or marketing analytics (e.g., Google Analytics, Microsoft Power BI, Tableau, CIM, or similar) (highly desirable) Familiarity More ❯
with CRM systems and campaign tracking tools (mandatory) Experience in training and supporting junior team members (highly desirable) Qualifications Bachelor’s degree in a quantitative field such as Mathematics, Statistics, Data Science, Economics, Marketing Analytics, or related discipline Professional certifications in data analytics, forecasting, or marketing analytics (e.g., Google Analytics, Microsoft Power BI, Tableau, CIM, or similar) (highly desirable) Familiarity More ❯
business systems Prior exposure to sales operations or revenue operations Experience in a scale-up or high-growth environment Education/Qualifications: Degree in a STEM discipline (e.g. Mathematics, Statistics, Computer Science, Engineering, Physics, etc.) Additional Requirements: Candidates should also be highly organised and motivated individuals with effective communication skills, a good work ethic, and a commitment to technical excellence More ❯
business systems Prior exposure to sales operations or revenue operations Experience in a scale-up or high-growth environment Education/Qualifications: Degree in a STEM discipline (e.g. Mathematics, Statistics, Computer Science, Engineering, Physics, etc.) Additional Requirements: Candidates should also be highly organised and motivated individuals with effective communication skills, a good work ethic, and a commitment to technical excellence More ❯
exploratory data analysis (EDA) to uncover new business opportunities. Assist in designing and implementing data models and databases for optimal performance. Required Qualifications: Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related field. Proficiency in data analysis tools and languages such as SQL, Excel, Python, or R. Experience with data visualization tools like Tableau, Power More ❯
to non-technical stakeholders. Help develop tools using SQL, Python, and BI platforms (e.g. Quicksight, Power BI, Tableau). What we’re looking for Essential: A degree in (Maths, Statistics, Economics, Computer Science, Data Science). Strong analytical and problem-solving skills. Proficiency in SQL and Excel . Excellent communication and presentation skills. Attention to detail with a proactive mindset. More ❯
signals within the markets. Company: OPUS (Rec.) Qualifications: Useful skills to possess: Commercial data science experience Machine learning SQL Msc or PhD preferred in either of the following areas, statistics, physics, mathematics, Computer Science or Engineering Creating customer segmentation models knowledge of SAS Data Mining R/Python Proficient user MS Office This is a superb career opportunity in the More ❯
delivering data science solutions into production environments at scale. 8+ years in data science, including 3+ years in leadership roles. Advanced degree (Master’s or PhD) in Data Science , Statistics , Machine Learning , Computer Science , Mathematics , or Physics . Deep expertise in supervised/unsupervised learning, time series forecasting, deep learning, and generative AI. Strong programming skills in Python and SQL More ❯
delivering data science solutions into production environments at scale. 8+ years in data science, including 3+ years in leadership roles. Advanced degree (Master’s or PhD) in Data Science , Statistics , Machine Learning , Computer Science , Mathematics , or Physics . Deep expertise in supervised/unsupervised learning, time series forecasting, deep learning, and generative AI. Strong programming skills in Python and SQL More ❯
Knack/experience of consultancy services Qualifications Previous hands-on experience in Data Science, delivering machine learning models to production Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or Engineering - or equivalent Proficiency in Python and relevant data science libraries (NumPy, pandas, scikit-learn etc.) Experience with SQL, Power BI, Git & GitHub Strong knowledge of More ❯
Shape and consult on broader data strategy and infrastructure. - Mentor and coach junior team members while staying ahead of emerging trends in AI and machine learning. Requirements - Degree in Statistics, Computer Science, or a related field. - 5+ years in data science with at least 2 years leading teams. - Proven success in production deployment of ML/LLM/NLP/ More ❯
Shape and consult on broader data strategy and infrastructure. - Mentor and coach junior team members while staying ahead of emerging trends in AI and machine learning. Requirements - Degree in Statistics, Computer Science, or a related field. - 5+ years in data science with at least 2 years leading teams. - Proven success in production deployment of ML/LLM/NLP/ More ❯
leading high-performing teams. Proficiency in Python, SQL, and deep learning frameworks such as TensorFlow and PyTorch. Experience with R is a nice-to-have. A strong foundation in statistics, mathematics, and programming is essential for success in this role. The following will be an advantage; Problem-Solving: Ability to translate business assumptions and rules into feature engineering and model More ❯
in business intelligence, data science, business administration, economics, or a relevant computer science field. Many employers indicate a preference towards candidates who have a solid foundation in mathematics and statistics, and some will strongly favour candidates with an MBA in business administration. However, master's degrees aren't always required if the candidate holds professional certifications or sufficient work experience. More ❯
