Data Scientist | AI Tech Scale-Up | London/Hybrid | Up to £50,000-£70,000 + Equity We are excited to be working with a rapidly growing AI Tech Scale-Up looking to expand its team with a talented Data Scientist! About the Company This innovative company offers an advanced enterprise platform that delivers predictive analytics and provides actionable insights powered by AI. These insights drive real improvements in business performance for top-tier clients across sectors such as asset management, banking, retail, supply chain, telecoms, utilities, and more. The Role As a Data Scientist, you will be pivotal in developing AI-powered models and decision-making applications using their cutting-edge technology. You will work closely with a diverse team of researchers, engineers, and executives, collaborating directly with clients to address their most critical business challenges. The Candidate: Ideal candidates will have the following qualifications: <ul><li>A minimum of 2 years of experience in a commercial data science role.</li><li>Excellent communication skills, with the ability to present complex ideas to both technical and non-technical stakeholders.</li><li>Experience in industries such as Retail, Supply Chain, Financial Services, Telecoms, Public Sector, or similar.</li><li>Added bonus if some experience of working with LLM's</li></ul>

BettingJobs are working with a sports analytics company who work with clients in the iGaming industry, who are seeking the hire of a Data Scientist to be based out of London. About The Role: They are looking for a data scientist to work on the betting and prediction side of their business, helping them to improve their ability to predict match outcomes. This role involves researching ways in which the modelling approaches they use to predict football matches can be improved, and then turning those insights into practical modelling solutions that they can deploy to production. You will have flexibility to work from home one day a week, and they aren't too fussy about the exact hours you work each day. But please note they are not considering remote candidates at the moment. Essential Requirements:<ul><li>Strong problem solving skills, with an ability to proactively identify challenges and propose solutions</li><li>Interest in football and betting/prediction problems</li><li>An ability to make pragmatic and sensible choices about what data analysis and modelling approaches to use – you can judge when it’s right to obsess about the details, and when it’s right to ship an MVP as fast as possible.</li><li>A flair for communicating statistical analyses to both technical and non-technical audiences</li><li>Experience with statistical analysis and predictive modelling - you don’t need to be an expert in any one area, but you need to know what techniques and tools are available, and understand the trade-offs of using different approaches</li><li>Experience with SQL and relational databases – you can quickly understand a new dataset, perform exploratory analysis, identify data quality issues, and take pragmatic decisions about how to handle imperfect data</li><li>Some programming experience, preferably with Python.</li></ul> For senior candidates: More experienced candidates will have the opportunity to take on more responsibility, leading projects and helping set the direction of the research. They are looking for candidates who can think strategically and make pragmatic decisions about where they should focus their efforts, and what technical approaches they should use to get the modelling ideas onto production. In addition to the requirements above, this means you also have: <ul><li>3+ years of practical data science experience</li><li>Project management skills, including an ability to make sensible value judgements about where the team should spend time</li><li>An extensive knowledge of statistical methods and machine learning techniques</li><li>Strong programming skills, ideally with Python</li><li>Experience working with other data scientists on a collaborative codebase</li><li>Experience of deploying models to production, ideally in AWS or another cloud environment</li></ul>

causaLens is pioneering the world’s first platform for building AI data scientists - empowering everyone to create and deploy their own data science agents in days. Our platform enables teams to collaborate in a multi-agent environment, ensuring human oversight across the entire workflow and making AI-powered data science trustworthy and accessible to everyone – from analysts to business leaders. We power industry leaders, including Cisco, Johnson & Johnson, Canon, and McCann Worldgroup, to accelerate and scale their data science capability. Join us to build the World’s First Platform for AI Data Scientists. What we are looking forWe are looking for a Senior Data Scientist based in London to join our mission to create AI Data Scientists to radically advance decision-making for leading enterprises. You will join a team of 9 Data Scientists. We hire the top 1% of Data Science talent to create an intellectually stimulating environment where you can thrive and learn. You will be helping leading enterprises build their custom data science agents and help our users get the maximum out of the platform. What you will doAs a Senior Data Scientist at causaLens, you will play a pivotal role in advancing our decision-making technology. This position demands a strong foundation in data science, particularly but not limited to time series, and using Python as the primary programming language. Some of your responsibilities will include: <ul><li>Using our Agentic AI framework to build data science solutions and models, using our platform on client-supplied data sets and use cases.</li><li>Collaborating directly with business stakeholders to integrate domain knowledge into the modelling process, demonstrating how insights can enhance decision workflows.</li><li>Crafting long-term visions and plans, in collaboration with clients and causaLens stakeholders, to successfully deploy agentic workflows into customers' strategies.</li><li>Work closely with the product and engineering teams to shape the development of our platform.</li><li>Communicate technical topics to non-technical audiences.</li></ul> Requirements<ul><li>At least 2 years of commercial data science experience using Python</li><li>Please note that this and the following bullet imply a significant breadth and depth of technical skills we will be testing for during the interview process - e.g., Statistics; other programming/scripting languages; solid understanding and experience with Cloud technologies; OOP, TDD, GitHub/Actions/Flow, and MLOps best practices; classical ML algorithms; at least some NLP, etc. </li><li>Strong academic record in a quantitative field (MEng, MSci, EngD or PhD)</li><li>Excellent and proven communication and teamwork skills</li><li>Previous experience in high-growth technology companies or technical consultancy is a plus</li><li>Previous experience in sales, pre-sales, and/or other technical evangelism is a plus</li><li>Experience with consulting and/or customer-facing roles, especially in the supply chain, demand forecasting, retail/cpg, manufacturing, marketing, financial services, or the public sector is a plus</li><li>Experience with LLM and RAG, GenAI, and agentic workflows is a plus</li></ul>BenefitsWe care about our people’s lives, both inside and outside of causaLens. Beyond the core benefits like competitive remuneration, and a good work-life balance, we offer the following:<ul><li>25 days of paid holiday, plus bank holidays</li><li>buy/sell holiday options (up to 5 days)</li><li>Share options</li><li>Pension scheme</li><li>Happy hours and team outings</li><li>Referral bonus program</li><li>Cycle to work scheme</li><li>Friendly tech purchases</li><li>Benefits to choose from include Health/Dental Insurance</li><li>Special Discounts</li><li>Learning and development budget</li><li>Work abroad days</li><li>Office snacks and drinks</li></ul>LogisticsOur interview process consists of a few screening interviews and a "Day 0" which is spent with the team (in-office). We will always be as transparent as possible so please don’t hesitate to reach out if you have any questions. If you require accommodations during the application process or in your role at causaLens, please contact us at talent@causalens.com

The ideal candidate's favourite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. Responsibilities<ul><li>Analyze raw data: assessing quality, cleansing, and structuring for downstream processing</li><li>Design accurate and scalable prediction algorithms</li><li>Collaborate with the engineering team to bring analytical prototypes to production</li><li>Generate actionable insights for business improvements</li></ul> Qualifications<ul><li>Bachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.)</li><li>At least 1 - 2 years of experience in quantitative analytics or data modelling</li><li>Deep understanding of predictive modelling, machine-learning, clustering and classification techniques, and algorithms</li><li>Fluency in a programming language (Python, C,C++, Java, SQL)</li><li>Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau)</li></ul>

Data Scientist Up to £65,000London (Remote - 1 day onsite per month) Company:This company are within the telecoms space that partner with more than 1,000 UK companies focusing on making a positive impact on people and the planet. They are looking for a Data Scientist to join a big tech-driven telecoms provider where you'd be designing, analysing, and interpreting experiments, and working on a new product development alongside their marketing team. Responsibilities: <ul><li>Have a direct impact on the latest product offering and support the launch to new and existing customers</li><li>Analyse and interrogate large datasets to identify new patterns, trends, and commercial opportunities.</li><li>Develop actionable insights from our existing product data to create revenue-generating use cases for our telco partners. </li><li>Work alongside the Data Engineer to design and implement scalable data models, optimising for both on-prem and cloud environments.</li><li>Develop and refine attribution models to measure and improve the effectiveness of digital marketing campaigns </li></ul> Requirements:<ul><li>BSc or MSc in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields.</li><li>Strong coding skills in Python and SQL</li><li>Good knowledge of ML/AI state-of-the-art, principles, practical applications and limitations</li><li>Technical leadership, strong communication skills, mentoring experience</li></ul> How to Apply:Please register your interest by sending your CV to Emily Burgess via the Apply link on this page. Keywords:<ul><li>Machine Learning, Telecoms, MLOps, CI/CD, Software Engineering</li></ul>

Job Title: Data ScientistClient Location: London(Hybrid)Starting: AsapPay Rate: £326 per day(PAYE Inside IR35)Duration: 12 months <ul><li>UK Go Bigger Data and Analytics team is hiring! We are looking for a seasoned and passionate Data Scientist (Individual Contributor) to drive the rapid growing UK Express business</li><li>This is a hybrid role of data science, data engineering. In this role, you will use your data science and data engineering skill to generate actionable data-driven recommendations to empower the UK Express business across full funnel of customer journey (acquisition, monetization, engagement and retention)</li><li>You will partner with Go-To-Market leaders to understand their goals & challenges, identifying how best to use data and insight to support them. Part of the role to find solutions by building and leveraging strong working relationships with colleagues in the wider analytics & data science community, ensuring best practice and widespread adoption.</li><li>The ideal candidate will be a 'self-starter' with outstanding quantitative analytical skill, superb business intuition, fantastic communication skill, and most importantly, the ability to use analytics to drive/influence business decision making.</li></ul>What You Will Do ● Apply expertise in quantitative analysis and data modelling to gain deep insights into customers behaviours/journey across surfaces, short and long-term trend, and present impactful recommendations to grow the business● Acting as a thought partner to the GTM business leads, Sales, PM, PMM, and other partners and influence decisions through the storytelling of data-driven recommendations, analysis, and experiment results● Identify the business opportunities, build the use cases, and recommend data science initiatives to unlock the business that will inform our data science plan and data driven product roadmap● Using data science models to tackle critical business challenges and drive recurring, scalable, and programmatic business unlocks● Leverage data engineering skills to create data structures suitable for empowering rapid analysis of user behaviour● Recommend testing ideas based on the analysis What You Need To Succeed ● Bachelor's degree or equivalent experience in quantitative fields, e.g., Computer Science, Math/Statistics, Economics, Physics, or equivalent practical experience. MBA or a master's degree or equivalent experience is preferred● 5 years hands-on experience doing quantitative analysis in tech or management consulting● Demonstrable experience using quantitative analysis/statistical modelling on data sets to tackle intricate business problems● Phenomenal at telling stories with data and communicating it to partners at all levels to influence critical decision making● Strong proficiency in querying and manipulating volumes of data sets for analytical purposes using SQL-like languages. Databricks environment familiarity would be desirable.● Capable of designing and scripting analytical data structures in SQL / Python● Statistical Modelling and data viz in Microsoft Excel or Power Pivot● Experience building and training statistical/data science models● Experience with statistics in SaaS or Subscription Business model environment, mobile analytics related experience preferred.● Experience in Data Visualization tools, preferably, Tableau and Power BIClient Description:A multinational cloud-based software company specialising in a series of products designed to drive creative innovation across multimedia. Used by millions around the world for personal and professional use across all industries. Aquent is dedicated to improving inclusivity & is proudly an equal opportunities employer. We encourage applications from under-represented groups & are committed to providing support to applicants with disabilities. We aim to provide reasonable accommodation for any part of the employment process, to those with a medical condition, disability or neurodivergence.

Data Scientist Jobs in Greater London, England

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Data Scientist Jobs in Greater London, England

Data Scientist AiDecember 24, 2024

Data ScientistDecember 22, 2024

Applied Data ScientistDecember 20, 2024

Data ScientistDecember 20, 2024

Data ScientistDecember 6, 2024

Data ScientistDecember 6, 2024

Quick filters

Top companies

Data Scientist Ai
December 24, 2024

Data Scientist
December 22, 2024

Applied Data Scientist
December 20, 2024

Data Scientist
December 20, 2024

Data Scientist
December 6, 2024

Data Scientist
December 6, 2024