role is eligible for an annual incentive plan. What We're Looking For: Basic Qualifications Bachelor's or post-graduate degree in Financial Engineering, Statistics, Quantitative Finance, Computer Science, Mathematics, Economics or a related field and; 3+ years work experience in relevant field; Knowledge of capital markets (preferably Structured Finance More ❯
in a fast-paced, constantly changing environment. Strong customer service orientation, analytical and problem-solving skills. BA or BS degree in Finance, Accounting, Operations, Statistics, Computer Sciences, or Information Systems. Preferred but not required: Management Consulting experience, Big 4 Accounting Experience, MBA, CPA, Salesforce proficiency, PowerBI proficiency. Preference for familiarity More ❯
further develop our sales analysts capabilities & support them to elevate their analytic skills & outputs locally. Who you are: Bachelor's Degree in Data Science, Statistics, Computer Science, Business Analytics, or related field. 8+ years experience in Business Intelligence, Visualisation Engineering or related Analytics Field. Experience working in or very closely More ❯
Collections strategy and deliver solutions to improve debt recovery Create analytic testing frameworks Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Expert in Python, R, SQL and a range of ML techniques (e.g., random forests, neural nets, reinforcement learning) A good understanding of More ❯
the team’s work Build domain understanding to improve model accuracy Provide guidance to junior team members Requirements: Bachelor’s degree in Data Science, Statistics, Math, or similar 2+ years in data science or analytics Experience building machine learning models and analyzing data Background in designing experiments or solving real More ❯
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 of MS Office This is More ❯
likelihoods. Collaborate with internal auditors to interpret findings and support audit strategies. Document analytical approaches and ensure reproducibility. Key Skills & Experience: Strong foundation in statistics, machine learning, and data science techniques. Proficiency in tools like Python, R, and SQL. Experience working with visualization tools (Tableau, Power BI, Looker, Qlik). More ❯
through improvements in performance metrics like conversion, retention, stock accuracy, and customer satisfaction Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Expert in Python, R, SQL and a range of ML techniques (e.g., random forests, neural nets, reinforcement learning) Track record of delivering More ❯
non-technical audiences. Mentor junior team members and contribute to the growth of the data science team. Qualifications: Bachelor's degree in Data Science, Statistics, Mathematics, or a related field. 2+ years of experience in a data science or analytics role. Proficiency in Python or R, SQL, and data visualisation More ❯
analytics platforms like Mixpanel, Amplitude, or similar tools. Experience with data visualization and BI tools (e.g., Looker, Power BI, Tableau). Solid grasp of statistics, experimentation design, and causal inference techniques. Excellent communication and stakeholder management skills—able to influence and align diverse teams. Demonstrated team leadership or people management More ❯
analytics platforms like Mixpanel, Amplitude, or similar tools. Experience with data visualization and BI tools (e.g., Looker, Power BI, Tableau). Solid grasp of statistics, experimentation design, and causal inference techniques. Excellent communication and stakeholder management skills—able to influence and align diverse teams. Demonstrated team leadership or people management More ❯
and stakeholders to build data science products that enable others to make business decisions. Qualifications Postgraduate degree in a relevant discipline (e.g. STEM, Maths, Statistics, Physics) or equivalent experience. Good data modelling, software engineering knowledge, and strong knowledge of statistical, mathematical and ML modelling are a must at this stage. More ❯
techniques and a proven track record in delivering data science and analytics projects. A degree in decision science, engineering, mathematics, physics, operational research, econometrics, statistics, or another quantitative field. Experience with SQL for data manipulation and querying. Experience in creating dashboard reports to visualize data insights. Knowledge of visualization tools More ❯
techniques and a proven track record in delivering data science and analytics projects. A degree in decision science, engineering, mathematics, physics, operational research, econometrics, statistics, or another quantitative field. Experience with SQL for data manipulation and querying. Experience in creating dashboard reports to visualize data insights. Knowledge of visualization tools More ❯
Data Science, ML, or AI role. A first-class STEM degree (Maths, Stats, Computer Science, Engineering, etc.) from a top university. Strong foundation in statistics, probability, and applied mathematics. Proficiency in Python (Pandas, NumPy, Scikit-learn). Experience with cloud platforms (AWS, Azure, or GCP) for data processing or model More ❯
programming skills in Python and SQL. Proficiency with data visualization tools (e.g., Tableau, Power BI, matplotlib) and cloud platforms (preferably AWS). Expertise in statistics and machine learning frameworks (e.g., PyTorch, scikit-learn). Familiarity with Git and collaborative workflows, such as pull requests and code reviews. Experience in product More ❯
Google Cloud. ✅ Good knowledge of optimization techniques and design patterns for large data solutions. ✅ A Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science (nice to have!) What’s in It for You? 🌟 Flexible remote working, must be UK based. 🌟 Work on cutting-edge AI projects with More ❯
existing machine learning infrastructure. Collaborate with data engineers, application programmers, and data scientists. Desired skills: Qualification in a related field such as computer science, statistics, electrical engineering, mathematics, or physical sciences. Self-starter with excellent communication and time management skills. Strong computer programming skills, with knowledge of Python, R, and More ❯
love to hear from you. Experience Required: Educated to degree level in a relevant subject such as Computer Science, Machine Learning, Artificial Intelligence, Mathematics, Statistics, Physics, Chemistry, Engineering etc. Strong programming skills with SQL (essential) and ideally Python, building code and models, and working with large, messy, complex data sets More ❯
impact Performing exploratory data analysis and model validation What we expect from you Master's degree/PhD in Computer Science, Machine Learning, Applied Statistics, Physics, Engineering or related field Strong mathematical and statistical skills Experience with Python, Spark and SQL Experience implementing and validating a range of machine learning More ❯
of user behavior. Collaborate with performance marketing and CRM to maximise LTVs. What We're Looking For Bachelor's degree in Mathematics, Data Science, Statistics, Marketing, Business Analytics, Economics or a related field. 4+ years of experience in product analytics, data analysis, or a related field. Expert knowledge in SQL. More ❯
advanced SQL skills. - Experience with theory and practice of information retrieval, data science, machine learning and data mining PREFERRED QUALIFICATIONS - Master's degree in statistics, data science, or an equivalent quantitative field - Experience working directly with business stakeholders to translate between data and business needs - Experience managing, analyzing and communicating More ❯
warehouse and scripting experience (Python) to process data for modeling Knowledge of SQL and data warehousing concepts Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field PREFERRED QUALIFICATIONS Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift Experience in data mining More ❯
trade-offs, best practices, and risk mitigation. Eligibility for the UK Security Clearance. PREFERRED QUALIFICATIONS Master's degree in a quantitative field such as statistics, mathematics, data science, engineering, or computer science. Knowledge of the primary AWS services (ec2, elb, rds, route53 & s3). Experience with software development life cycle More ❯
and critical thinking skills. Exceptional time management and organizational skills to manage multiple deadlines. Ability to travel. Honors and/or advanced degree in Statistics, Economics, Mathematics, Computing, Business, or a related technical field. PREFERRED At least two years of hospitality or retail industry experience. BENEFITS As a full-time More ❯
