are a great bunch of folks to work with - though we would say that! What qualifications and experience are we after? Honours degree in Statistics, Mathematics, Physics or similar quantitative discipline where data analytics plays a key role- ideally a (2:1+) honours degree 4+ years of serious commercial experience more »
Regular Monitoring process A grasp of PBR/NTPS guidance especially around acute data provisions that relate to commissioning Public Health expertise Expertise in statistics Experience Essential Proven track record of leading analytical teams Experience in population health management analytics and its application to improve outcome and reduce health inequalities. more »
reports, KPI scorecards, and dashboards using Power BI for any new Products and services, Experience in building predictive models and machine-learning, Knowledge of statistics and experience using statistical packages for analyzing datasets, Experience in data mining, Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is more »
to present data-driven insights to stakeholders. Stay updated on industry trends and best 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 more »
to present data-driven insights to stakeholders. Stay updated on industry trends and best 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 more »
to present data-driven insights to stakeholders. Stay updated on industry trends and best 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 more »
to present data-driven insights to stakeholders. Stay updated on industry trends and best 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 more »
to present data-driven insights to stakeholders. Stay updated on industry trends and best 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 more »
CV1, Coventry, West Midlands (County), United Kingdom
Career Sprint
to present data-driven insights to stakeholders. Stay updated on industry trends and best 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 more »
TW1, St. Margarets and North Twickenham, Greater London, United Kingdom
Career Sprint
to present data-driven insights to stakeholders. Stay updated on industry trends and best 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 more »
and scalable prediction algorithms Collaborate with engineering team to bring analytical prototypes to production Generate actionable insights for business improvements Qualifications Bachelor's degree (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 2 years' of experience in a similar role Deep understanding of predictive modeling, machine-learning, clustering and classification more »
the Data Scientist is to produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. Job Responsibilities: Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development more »
with the broader tech team to deliver data roadmap Experience: Educated to a degree level in a numerate subject: Mathematics, Machine Learning, Computer Science, Statistics, A strong background in CRM and marketing analytics is essential, including modelling skills, to optimise customer journeys and improve customer retention and loyalty Ability to more »
experiential data for comprehensive insights. Profile Skills: Proficiency in Python and Microsoft Excel Experience with PowerBI, Anaplan or equivalent tools Strong analytical skills, including statistics, analysis and modelling techniques. Familiarity with HR systems, processes, KPIs and databases. Experience: Proven track record in data analysis and HR. Ability to drive best more »
reports. Support regional stakeholders with ad-hoc data analysis and data insights. You’ll Need to Have: Degree in a quantitative discipline (e.g. Mathematics, statistics, economics, data science) or marketing Proven experience in a similar role or equivalent (Data/Insight/Research) Strong analytical skills and experience of working more »
and non-technical stakeholders. Proven track record of driving business results through data-driven decision-making Bachelor’s degree in a quantitative field (e.g., Statistics, Mathematics, Economics, Computer Science) Benefits : Pension Office has a good vibe and good communication, growing all the time. Holiday entitlement - 25 days plus public/ more »
interpersonal skills. Ability to adapt and thrive in a dynamic, fast-paced environment. Data Scientist Qualifications: Bachelor's degree/MSc in Data Science, Statistics, Computer Science, or a related field. Proven experience in data analysis, reporting, and visualization. Proficiency in data analysis tools, database management, and statistical analysis. Strong more »
world class engineers, and data scientists. Act as subject matter expert for our digital advertising. What We Are Looking For Degree in Mathematics/Statistics/Computer Science or a related engineering/technical or quantitative field. Min 4 years of experience as a Data Scientist in the ad-tech more »
accuracy, availability, granularity, and overall robustness Collaborate with fellow data and finance professionals to achieve successful outcomes Who you are Ideally from a mathematics, statistics, econometrics, physics, or similar numerically-focused background, you possess a natural curiosity and numerical acumen A team player with a sense of ownership, you take more »
engineering team to bring analytical prototypes to production Generate actionable insights for business improvements Qualifications Bachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years of experience in quantitative analytics or data modelling Deep understanding of predictive modelling, machine-learning more »
engineering team to bring analytical prototypes to production Generate actionable insights for business improvements Qualifications Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning more »
sites. You must hold active DV Clearance A degree, Masters or PhD from a leading university in data science, mathematics, operational research, physics, or statistics Experience of conducting analysis for evidence-based decision making, developing models and analyses to support data centric decision making Experience in working in the Defence more »
get under the skin of customers. Skills & experience required: Educated to degree level in a numerate subject; Machine Learning, Computer Science, Physics, Chemistry, Mathematics, Statistics, Engineering, Economics etc. Statistical analytics background employing a wide variety of techniques to solve problems and answer questions around customers, as well as overall business more »
levels. Detail-oriented mindset with a passion for quality and continuous improvement. Preferred Qualifications: Master's degree or PhD in a quantitative discipline (e.g., statistics, applied mathematics, econometrics).Experience with machine learning frameworks and techniques for model validation and testing. Knowledge of software development methodologies such as Agile, Scrum, or more »
Analytics, Tableau, Looker, Qlik, Micro Strategy, etc. Python experience SQL experience Stakeholder management experience An undergraduate or postgraduate degree in Computer Science, Data Science, Statistics, Applied Mathematics, or a similar quantitative field is required more »
