10 of 10 Remote Statistics Jobs in the Midlands

of relational databases, data modelling, and data storage structures. Experience working within a compliance or regulatory data environment is beneficial but not essential. Other Skills & Experience Degree in Mathematics, Statistics, Computer Science, Engineering, or a related field or equivalent practical experience (minimum 2 years in a data/analytics role). Strong attention to detail and analytical thinking. Excellent written More ❯

graduate (or soon-to-be) in Computer Science, AI, Data Science, Engineering, Mathematics, Physics, or a similar discipline A strong interest in AI/ML, data science, or applied statistics Solid programming skills in Python (or similar languages) Familiarity with data science or AI libraries such as Pandas, NumPy, TensorFlow, PyTorch, or Scikit-learn Strong problem-solving ability and analytical More ❯

graduate (or soon-to-be) in Computer Science, AI, Data Science, Engineering, Mathematics, Physics, or a similar discipline A strong interest in AI/ML, data science, or applied statistics Solid programming skills in Python (or similar languages) Familiarity with data science or AI libraries such as Pandas, NumPy, TensorFlow, PyTorch, or Scikit-learn Strong problem-solving ability and analytical More ❯

BI, Tableau, or similar tools. Manage relationships with external lead generation partners. Collaborate with cross-functional teams to deliver data-driven solutions. Profile Degree in relevant subject (Data Science, Statistics, Economics or similar degree) (Essential) 3+ years' experience in the Financial Services Industry (Essential) Proficiency in Excel (Essential) Proficiency in Python, SQL or other programming languages (Essential) Ability to communicate More ❯

BI, Tableau, or similar tools. Manage relationships with external lead generation partners. Collaborate with cross-functional teams to deliver data-driven solutions. Profile Degree in relevant subject (Data Science, Statistics, Economics or similar degree) (Essential) 3+ years' experience in the Financial Services Industry (Essential) Proficiency in Excel (Essential) Proficiency in Python, SQL or other programming languages (Essential) Ability to communicate More ❯

technical foundations, problem-solving abilities, and a hunger to grow in the ML space. Essential: A recent graduate (or soon-to-be) in Computer Science, Data Science, Engineering, Mathematics, Statistics, Physics, or a related discipline Proficiency in Python and familiarity with ML libraries such as Scikit-learn, TensorFlow, or PyTorch Strong understanding of basic machine learning concepts and algorithms (e.g. More ❯

PowerBI). Team contribution: Mentors others, shares knowledge, and strengthens team delivery through feedback and collaboration. Education & Experience: You have a degree in a quantitative field such as Mathematics, Statistics, Economics, or Engineering, and 4–6 years of experience in analytics—preferably with exposure to commercial, retail, or trading environments. Benefits Wellbeing & Lifestyle Benefits Health Cash Plan Life Assurance Incentive More ❯

amounts of data and extract actionable solutions, working cross-functionally to support key business initiatives and drive sustainable growth. What we're looking for A strong understanding of probability, statistics, machine learning, feature extraction and familiarity with large data set manipulation. Experience using deep learning models, particularly for sequential data. Experience working with Open Banking or Credit Bureau data. Experience More ❯

management Proactive support for course preparation and execution University Expansion & Growth Campus relationship development with department heads Identification of new instructor prospects within existing universities Cross-departmental expansion (business, statistics, analytics programs) Academic calendar alignment and semester planning Events & Community Building On-campus visits and department presentations Instructor networking events and best practice sessions Academic conference presence and relationship building More ❯

Document findings and maintain structured datasets for project tracking. Collaborate with consultants to apply analytics in real-world scenarios. Required Qualifications Currently studying or recently graduated in Data Science, Statistics, Computer Science, or Business Analytics. Proficient in Excel with basic knowledge of SQL or Python. Detail-oriented, analytical, and curious. Strong communication and teamwork skills. Ability to manage tasks independently … in a remote environment. Preferred Qualifications Familiarity with BI tools such as Power BI or Tableau. Prior academic, internship, or project experience in data analysis. Understanding of basic statistics or predictive modelling. Benefits & Perks Paid internship at £15 per hour. 20 hours per week, Monday–Friday. 2-month duration, fully remote (based in Leicester). Flexible working schedule and supportive More ❯