1 to 25 of 35 Statistics Jobs in the South East

integration of AI solutions.* Experience working across multiple operating systems (Linux, Windows, iOS, Android).* PhD or equivalent experience in Data Science, Computer Science, Statistics or a related field Please send me a copy of your CV if you're interested ...

solution integration. Operating Systems : Experience working across Linux, Windows, iOS, and Android environments. Advanced Education : PhD or equivalent experience in Data Science, Computer Science, Statistics, or a related field is a plus. To apply for this role please submit your CV or contact Dillon Blackburn on or at . Tenth ...

experience, including 8+ years of hands-on experience in machine learning and data science Advanced degree (Master's or PhD preferred) in Computer Science, Statistics, Mathematics, Engineering, or related quantitative discipline Proven experience building and deploying advanced ML and deep learning models in enterprise environments Deep understanding of algorithm selection ...

financial services sector. Profile Credit Risk Analyst - Consumer Lending A successful Credit Risk Analyst should have: A strong academic background in Mathematics, Statistics, Economics, or a related field. Proficiency in data analysis tools and programming languages such as SAS,SQL, & Python . Experience with Amazon Quick site & AWS Redshift. Experience ...

with senior analysts on diverse and high-impact projects. Learn and apply leading statistical methods, tools, and software. Requirements: Bachelors degree in Data Science, Statistics, Computer Science, or a related field. Strong analytical mindset with excellent attention to detail. Basic knowledge of Excel, SQL, and data visualisation tools such ...

reporting tools (e.g., Excel, PowerPoint, Tableau, Power BI) BA/BS degree in an analytical or business-related field (e.g., Computer Science, Economics, Statistics, Mathematics, Business) Excellent communication, problem-solving, and stakeholder management skills Preferred Qualifications MBA or advanced analytical degree Experience launching consumer hardware products Familiarity with AI tools ...

experience, including 8+ years of hands-on experience in machine learning and data science Advanced degree (Master's or PhD preferred) in Computer Science, Statistics, Mathematics, Engineering, or related quantitative discipline Proven experience building and deploying advanced ML and deep learning models in enterprise environments Deep understanding of algorithm selection ...

response modelling, churn). Experience building KPI frameworks tied to marketing performance. Experience coaching junior team members. Qualifications: Degree in a quantitative field (Maths, Statistics, Data Science, Economics, Marketing Analytics, etc.). Certifications such as Google Analytics, Power BI, Tableau, CIM (preferred). HOW TO APPLY If you want ...

data-driven recommendations. Qualifications 3+ years of professional experience in product/growth analytics. A degree in a quantitative technical field such as Mathematics, Statistics, Physics, Computer Science, or Engineering. Required Skills Strong SQL skills and experience working with large-scale data. Familiarity with marketing and UA metrics (CAC, ROAS ...

degree or higher in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a closely related field Strong foundations in machine learning, algorithms, and statistics Experience with Python and common ML libraries (e.g. TensorFlow, PyTorch, scikit-learn) Understanding of software engineering fundamentals and version control (e.g. Git) Ability to communicate ...

betting industry. Experience with DevOps tools (e.g., Azure DevOps, Jira). Confident using Git for concurrent development. Comfortable with mathematical concepts such as probability, statistics and matrix operations. Ability to produce reports, dashboards and visualisations to explain model behaviour and analytical findings. Working knowledge of SQL and relational databases. Desirable ...

reports and ensure accuracy and relevance.Presenting findings in meetings, webinars, or workshops as needed. Key Skills and experience:Bachelor’s degree in business, economics, statistics, marketing, or a related field.Strong proficiency in Microsoft Excel and basic statistical analysis; familiarity with advanced analytics tools (e.g., Tableau, Power BI, Python ...

technical expert when engaging with customers on ML technologies Required Skills & Experience MSc or PhD in Computer Science, Machine Learning, Mathematics, Statistics, or similar Strong Python programming skills Experience with PyTorch, TensorFlow, or optimisation libraries (e.g. Gurobi, OR-Tools) Strong technical communication and stakeholder engagement skills Ability to write clean ...

experience (advanced DAX, dimensional modelling, performance optimisation) Professional dashboard and semantic model development Fluent SQL (complex joins, transformations, optimisation) Python for analysis (pandas, statistics, scikit-learn) Advanced Excel skills Experience & Background: proven experience in consulting or fast-moving commercial environments Strong academic background in a quantitative discipline Experience working directly ...

including libraries such as Pandas, NumPy and scikit-learn. Experience working with deep learning frameworks such as PyTorch or TensorFlow. A solid grounding in statistics and probability, with strong mathematical foundations (calculus and linear algebra highly advantageous). Experience working across the full data science project lifecycle. A pragmatic, engineering ...

real-world, high-impact engineering challenges. What you'll need to succeed You'll have a strong analytical background and enjoy applying data, statistics and modelling techniques to complex physical systems. You'll be comfortable working across disciplines and translating technical insight into practical outcomes.Essential experience includes: A degree ...

Tableau). Experience with Product Analytics tools (e.g.Adobe Analytics, Amplitude,Mixpanel), including event tracking and analysis. Good understanding of experimentation (A/B testing), statistics, and data analysis techniques. Experience working with data pipelines or collaborating with data engineering teams on data modelling and transformation. Strong datavisualizationand storytelling skills, tailored ...

ability to communicate uncertainty intervals credibly to non-technical stakeholders is as important as computing them correctly. Feature Engineering at Scale. Lag features, rolling statistics, Fourier transforms for seasonality decomposition, target encoding with temporal leakage guards, embeddings for categorical market variables. You understand that the quality of your features usually ...

industry best practices Ensure data quality, integrity, and governance standards are maintained Required Qualifications Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, or related quantitative field 2+ years of experience in data science, analytics, or a related role (adjust based on seniority) Strong proficiency … Python or R Experience with SQL and working with large datasets Solid understanding of statistics, probability, and machine learning concepts Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn) Ability to communicate complex analytical findings to diverse audiences Preferred Qualifications Experience with cloud platforms (AWS, GCP, Azure) Familiarity ...

NCAAB, NCAAF), Cricket, Tennis or Football. Experience collaborating with Data Scientists or Data Engineers. Comfort with mathematical concepts such as probability, statistics and matrix operations. Additional notes While experience with C# is preferred, candidates with a strong Java background and relevant industry exposure - or a clear personal interest in betting ...

years Python experience, especially with scientific libraries (NumPy, SciPy, Pandas). Relevant degree (Maths, Computer Science, or related quantitative field). Strong maths/statistics/analytics background, with experience translating theory into production-ready Python code. Experience building analytics/optimization solutions in a product environment. Bonus: familiarity with ...

regional geospatial insights into broader national or regional-level datasets and analytical outputs Experience working with publicly available official datasets, particularly Office for National Statistics (ONS) open data products (e.g. census boundaries, geographic lookups, deprivation indices, population estimates) Security & Environment Comfortable working in secure environments, applying least-privilege access principles ...

years’ experience with Microsoft SQL Server (2016+) and SSIS in production environments. Strong SQL Server engineering: advanced T-SQL, indexing, performance tuning, execution plans, statistics, partitioning, tempdb optimisation. Proven experience with ETL/ELT development and design patterns (incremental loads, CDC, SCD, error handling, idempotency). Strong data modelling skills ...

database query optimisation, and data mining Experience in some of the following domains: bioinformatics, genomics, ontologies, functional annotation, and high throughput sequencing analysis, statistics Experience of some of the following technologies: Python, Rust, Perl, GraphQL, JavaScript, TypeScript, Apache, MySQL, PostgreSQL, DuckDB, SQLite Hands on experience working with AI based tools ...

rigorous, high - quality research outputs that advance applied genomic diagnostics and build your growing research profile. - Collaborate closely across disciplines, including genomics, clinical medicine, statistics, software engineering, and compute infrastructure, to co - create impactful research solutions. - Contribute to the design and delivery of education and training in genomic data science ...