26 to 50 of 115 Statistics Jobs in the South East

complex findings to technical and non-technical audiences through compelling presentations. You are a perfect fit if you have: 🎓 A degree in Data Science, Statistics, Computer Science, Physics, Mathematics, or a related field (or equivalent experience). 💻 Strong programming skills in Python (NumPy, Pandas), SQL, and Excel. 🧩 Excellent analytical and more »

to deploy and improve the products. Participate in on-call rotation. Qualifications Bachelor’s degree or equivalent in an analytical related field such as Statistics or Computer Science or at least 2+ years equivalent professional experience. Experience with SQL (2+ years) Proficiency with Python (2+ years) Ability to work with more »

working autonomously to drive impact in a fast-paced cross-functional business. PhD or MSc or equivalent a numerate subject: Machine Learning, Computer Science, Statistics, or similar Demonstrable experience of applying, researching, and developing sophisticated statistical/ML methods to drive value in a commercial setting, Able to work independently more »

etc) An eagerness to learn how to use new systems and analytics tools A problem-solving mindset Nice to have: Qualifications in Computer Science, Statistics or other Data disciplines would be useful but are not a requirement Benefits: In addition to a competitive salary, we offer a range of benefits more »

learn to push the boundaries of AI. We're Looking For: Proven experience building and deploying models (FinTech/healthcare preferred), strong grasp of statistics, ML techniques, and cloud platforms (AWS, Azure, GCP), and containerisation expertise (Docker, Kubernetes). Experience in agile environments (OKRs), excellent communication and collaboration skills, passion more »

in order to improve game experience and help the studio achieve their goals. We are looking for: Bachelor's degree in Computer Science, Mathematics, Statistics (or other relevant field) Proficient in SQL and Python, or similar languages Skilled in data modeling with a strong grasp of statistical and visualisation techniques more »

Actively seek trends in client data to assist in migrations. Qualifications and Skills: * Bachelor's degree in a relevant field such as Computer Science, Statistics, Mathematics, or a related discipline is desirable. * Strong analytical and problem-solving skills. * A good understanding of core IT principles. * Strong Excel knowledge and hands more »

CRO, web analytics, or UX, preferably in an e-commerce or retail setting · A degree in a relevant field, such as marketing, business, psychology, statistics, computer science, etc., or equivalent work experience. · A solid understanding of web design principles, user behaviour, and conversion funnel optimisation. · A strong proficiency in web more »

guild and become the go-to expert for data management. Requirements: Educational Background: Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or related field. Professional Experience: Extensive data science, analytics, or engineering experience, particularly in leadership roles and the banking or financial services sector. Technical Proficiency more »

Access to free perks and discounts through Perkbox Long service awards; company nights out The role would suit best someone with a familiarity with statistics for analytical projects, some experience in predictive analytics and a good grasp of the principles of data visualisation. Strong experience with Power BI and advanced more »

data modelling, database design development, data mining and segmentation techniques Strong knowledge of reporting packages (PowerBI, Business Objects etc) and databases (SQL) Knowledge of statistics and experience using statistical packages for analysing datasets (Excel, SPSS, SAS etc) Strong analytical skills with the ability to collect, organise, analyse and disseminate significant more »

and algorithms Familiarity with Unix systems, common command line tools e.g., grep, awk and source control tools e.g., git Familiarity with Machine Learning and Statistics a plus Excellent problem-solving and analytical skills. Experience working in an Agile development environment. Our Amazing Benefits Hybrid/Flexible working model 25 days more »

team-building abilities. Exceptional communication and interpersonal skills, with the ability to influence stakeholders at all levels. Advanced degree in Data Science, Computer Science, Statistics, Business, or a related field is preferred. Job Title: Chief Data Officer (CDO) Location: London - hybrid working more »

Assist in the preparation of investment strategies and recommendations. The Successful Applicant: 1. Master's degree in Finance/Business Administration/Economics/Statistics or a related field or equivalent education only from Premier Institutes with 2-4 years' post qualification experience in PE/VC/Investment Banking more »

your profile has been matched to an open role. Essential Qualifications: Expert knowledge in Python Experience of signal research implementation Relevant mathematical knowledge e.g. statistics, asset pricing theory, optimisation algorithms Understands portfolio optimization and risk leveraging optimization workflows Experience with trade automation and order generation Proficient on Linux platforms with more »

situations under stress. Ability to analyze data and create reports which accurately reflect the state of the business. Bilingual Spanish and English Expertise with statistics and data Six Sigma and LEAN certification/experience a plus Up to 10% global travel (Able to travel to Mexico, USA, Europe, Asia) Expertise more »

with data pipeline development and automation. coding skills (mainly with Python) knowledge (understanding of risk concepts such as VaR calculations) and good understanding of statistics with version control systems (Git) Experience with big data frameworks, databases, distributed systems, Cloud or Web development. Experience with any of these: SQL, JavaScript, TypeScript more »

experience as a data analyst Knowledge and experience with reporting packages (Business objects, tableau, power BI), databases (SQL etc), programming (XML, Javascript) Knowledge of statistics and experience in using statistical packages for analysising datasets (Excel, SPSS,SAS etc) Strong analytical skills with the ability to collect, organise, analyse and disseminate more »

be involved with include, Full Body Inverse Kinematics, Motion Matching, Skeleton Retargeting, Data Pipeline and Compression, Events Editor, Real-Life Match Data 3D Viewer, Statistics and Generative AI. Collaborate with other disciplines, including animations, artists, QA, producers, and other engineering teams, on both development and future planning. Work closely with more »

Ivy Farm - Data Scientist (Statistics and Machine Learning) At Ivy Farm our mission is to create the world’s best guilt free and sustainable meat, it’s cultivated meat, just like real meat, only made differently - and were super excited by it. Were a humble community of 40+ technical and … reckon you’ll have an M.Sc. or PhD in a field related to AI/ML or Data Analytics such as: Computer Science, Mathematics, Statistics, Physics, Biophysics, Computational Biology or Engineering Science You’ll have worked in an industry-setting, preferably biopharma/biotech with a track record of applying … ML/Deep Learning (DL) approaches Familiarity with advanced statistics, ML/DL techniques including various network architectures (e.g: CNNs, GANs, RNNs, Auto-Encoders, Transformers, PLM etc.), regularisation, embeddings, loss-functions, optimization strategies, or reinforcement learning techniques Advanced programming skills and proficiency in data manipulation Prior work experience with analytical more »

Python and ZeroMQ Experience with Agile teams and processes Knowledge of Python visualisation libraries - Bokeh, Holoviews Experience with state machines Knowledge of data and statistics libraries SQL, Postgres and psycopg2 DevOps experience with Azure Containerisation - Docker C and C++ on Linux more »

and quantitative data. YOUR SKILLS AND EXPERIENCE: The Insight Manager will have the following skills and experience: Bachelor's degree in Marketing, Business, or Statistics; Master's degree preferred. Proven experience in market research-focused roles with strong analytical and communication skills, client or agency-side. Excellent experience in both more »

with data scientists, re-shape code, support towards some ML Ops principles, make the ML platform easy for users Requirements An academic background in Statistics, Mathematics, or Computer Science (or similar) A number of years of commercial work as a Senior Data Engineer (responsible for taking decisions, rather than just more »

take charge of our cloud-based data analytics stack. Lead Data Engineer/ML - About You: Top academics in a relevant field (Computer Science, Statistics, Mathematics) Strong command of Python and its data analysis libraries (e.g., numpy, scipy) Proven expertise in Python-based machine learning, optimization, and process mining Knowledgeable more »

years or more of experience in a product and/or quantitative finance related role Advanced degree in a quantitative field such as mathematics, statistics or quantitative finance. Knowledge of developer workflows and an understanding of financial products and analytics. Knowledge of Fixed Income products and Credit Derivatives is preferred. more »