1 to 25 of 34 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 ...

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 the broader team Maintain a positive and productive atmosphere within the team. Skills and Experience Must have: An undergraduate degree in engineering, mathematics, statistics, physics or equivalent fields, or a combination of education and work experience, with relevant research experience At least a few years industry experience writing production ...

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 ...

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 ...

field. Strong programming foundation in Python and object‐oriented design. Experience in ML frameworks (PyTorch, TensorFlow) and CV or NLP pipelines. Solid understanding of statistics, ML theory, and large‐scale model deployment. Excellent problem‐solving and communication skills. Key Skills and Experiences Hands‐on experience in computer vision or natural ...

team collaboration.QualificationsHold a PhD or MSc degree in Computer Science, Artificial Intelligence, Data Science, or related fieldKey Skills and ExperiencesProficient in machine learning and statistics, with hands-on experience in computer vision (CV) or natural language processing (NLP); understanding of large language models (LLM) is a plusSkilled in object-oriented ...

degree in Computer Science, Artificial Intelligence, Data Science, or related field**Key Skills and Experiences*** Proficient in machine learning and statistics, with hands-on experience in computer vision (CV) or natural language processing (NLP); understanding of large language models (LLM) is a plus* Skilled in object-oriented programming using Python. ...

collaboratively to drive impact in a fast-paced multi-functional business. PhD or MSc experience in a numerate subject: Machine Learning, Computer Science, Statistics, or equivalent, Demonstrable experience of applying, researching, and developing sophisticated NLP models, prompt engineering + fine-tuning LLMs to drive value in a commercial setting, Able ...

research and tools You Should Have Recently completed or soon-to-be completed Bachelor’s or Master’s in Computer Science, Data Science, AI, Statistics, or related field Strong programming skills in Python (and optionally R, Java, or C++) Knowledge of ML frameworks like TensorFlow, PyTorch, or scikit-learn Eagerness ...

deliver impactful transformation initiatives Confidently handle complex datasets within enterprise-scale data environments Skills & Experience Strong analytical skills with expertise in data analytics and statistics Proven experience in data modelling (relational and dimensional) Advanced SQL and Python skills Experience working with complex, large-scale data environments Experience with Databricks ...

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 ...

investment process Exploring how Generative AI techniques can benefit the organisation Experience - Data Scientist You will have: An M.Sc. or Ph.D. in: STEM (e.g. Statistics, Applied Mathematics, Computer Science, Engineering) Experience using Python is a must Experience of data visualisation tools (e.g. Tableau, Power BI) A strong knowledge of statistical … enquire about other roles, please contact Nick Mandella at Harnham. KEYWORDS Python, SQL, Tableau, Power BI, AWS, GCP, Azure, Cloud, machine learning, statistics, Data Science, Data Scientist, Big Data, Artificial Intelligence, private equity, finance. ...

deliver impactful transformation initiatives Confidently handle complex datasets within enterprise-scale data environments Skills & Experience Strong analytical skills with expertise in data analytics and statistics Proven experience in data modelling (relational and dimensional) Advanced SQL and Python skills Experience working with complex, large-scale data environments Experience with Databricks ...

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 ...

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 ...

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 ...

Ability to use Microsoft Access and GIS at intermediate level. Relevant technical/professional qualification (or qualified by experience). Level 3+ qualifications in statistics, data management or similar (preferred). Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy. ...

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 ...

with a focus on end-to-end machine learning solutions. Experience - Principal Data Scientist You will have: An M.Sc. or Ph.D. in: Machine Learning, Statistics, Applied Mathematics, Computer Science, Engineering, etc. Experience using Python is a must Knowledge of cloud technologies important (agnostic) A strong knowledge of statistical/machine … contact Nick Mandella at Harnham. KEYWORDS Python, SQL, AWS, GCP, Azure, Cloud, Databricks, Docker, Kubernetes, CI/CD, Terraform, Pyspark, Spark, Kafka, machine learning, statistics, Data Science, Data Scientist, Big Data, Artificial Intelligence, private equity, finance. ...

Skills & Experience Strong SQL and Python skills, including complex joins, aggregations and data validation on large or messy datasets. Solid understanding of experimentation and statistics, with hands-on experience evaluating A/B tests and product experiments. Background working in fast-moving product teams where analysis directly supports product roadmaps ...