1 to 5 of 5 Lead Data Scientist Jobs with Hybrid or WFH Options

LEAD DATA SCIENTIST Up to £70,000 LEICESTER (Hybrid, 1-2 days onsite per week) COMPANY: This company is for one of the largest UK retailers and play a key role in the personalisation Data Science Team! They are looking for a Data Scientist to join their team, who has a good understanding of Data Science techniques and the CRM environment. RESPONSIBILITIES: Working on personalisation of the customer journey on end-to-end machine learning projects Working with Python, SQL, Databricks and GCP/Azure Operating closely with a high-calibre team … HOW TO APPLY: Register your interest by sending your CV to Emily Burgess via the Apply link on this page. Keywords: Forecasting, Machine Learning, Data Science, Data Scientist, Retail, Churn, Propensity more »

LEAD DATA SCIENTIST Up to £70,000 NOTTINGHAM (Hybrid, 1-2 days onsite per week) COMPANY: This company is for one of the largest UK retailers and play a key role in the personalisation Data Science Team! They are looking for a Data Scientist to join their team, who has a good understanding of Data Science techniques and the CRM environment. RESPONSIBILITIES: Working on personalisation of the customer journey on end-to-end machine learning projects Working with Python, SQL, Databricks and GCP/Azure Operating closely with a high-calibre team … HOW TO APPLY: Register your interest by sending your CV to Emily Burgess via the Apply link on this page. Keywords: Forecasting, Machine Learning, Data Science, Data Scientist, Retail, Churn, Propensity more »

Data Science/Data Analytics Team Lead, working with senior management to lead the evolution of data infrastructure and analytics as they build and develop next generation of self-service data tools for customers and transition to new Azure Cloud platform. You will lead … providing coaching and mentorship to upskill the team. We are looking for a critical thinker who has experience in building and developing new analytical data structures, to extract the most insight from our data. Strong experience in Dimensional Data modelling, data warehousing, data processing (Map Reduce … Team Lead/Mentoring experience Expert in SQL and at least one statistical analysis programming language (R, Python or Julia) Proficient in at least one BI tool (Power BI, Tableau, Qlik Sense). Key responsibilities Manage a small team of skilled analysts. Be a key decision maker in the more »

that your contributions are valued. We offer world class learning and career development opportunities, while we celebrate an inclusive culture. The role As a Lead Data Scientist (NLP & GenAI) at Allianz Commercial, you will work closely with our team of data scientists, data engineers, ML … with their strategic objectives. Research, design, and develop solutions using NLP models and algorithms to extract insights from unstructured text data. Collaborate closely with data engineers to pre-process and clean text data, ensuring data quality and compatibility with NLP models. Apply machine learning and deep learning … and utilize LLMs, such as GPT, BERT or open source foundational LLM's (Llama2), for natural language understanding and generation tasks. Conduct thorough exploratory data analysis to gain insights into text data characteristics and develop effective pre-processing strategies. Collaborate with data engineers and MLops Engineers to more »

Our client is on a relentless mission to harness the power of data-driven insights, revolutionising their products, streamlining operations, and steering strategic choices. As they continue their remarkable journey of growth and innovation, they are in search of an accomplished and forward-thinking Senior Data Scientist to join them in their mission to become a disruptor in the FinTech space. The successful candidate will integrate into the broader data team and be integrated within the risk management team. What are we looking for… At our core, we value collaboration and psychological safety. Join us … appropriate context, prioritizing value over task-based approaches. Value Delivery: Demonstrated history of delivering measured value in previous roles. Proficiency: Commercial experience as a data scientist, with the capability to engage in technical conversations with engineers and data scientists alike. Cloud Expertise: Proficiency with modern cloud deployment more »