Analytics Manager – Supply Chain

at  Harnham

SKILLS:

The Successful applicant will have the following:

• Google Tag Management

YOUR SKILLS AND EXPERIENCE:

• MSc or PhD level education in STEM subjects.
• Proven expertise in implementing Machine Learning and NLP models using Bert, Roberta, GPT4, etc. and NLP Open-Source Libraries.
• Strong commercial experience with Python and NLP tooling,
• Previous commercial exposure to LLM, GPT4, GCP, or AZURE.
• Excellent communication skills and ability to engage with teams and colleagues.

REQUIREMENTS:

• Demonstrate an understanding and expertise in AI in a business setting
• Proven AI governance understanding
• Excellent team leadership skills
• Proven ability to innovate and deliver new products in a start-up setting

YOUR SKILLS AND EXPERIENCE:

• MSc or PhD level education in STEM subjects.
• Proven expertise in implementing Machine Learning and clustering techniques.
• Strong commercial experience with Python and data visualization, and proficient knowledge of Python, R, and Scala.
• Previous commercial exposure to tools such as Keras, TensorFlow, Python.
• Excellent communication skills and ability to engage with teams and colleagues.

YOUR SKILLS AND EXPERIENCE:

• Hold an MSc or PhD in a STEM subject.
• Proven expertise in implementing Machine Learning
• Understanding of Data Engineering/MLOps Task
• Experience in enhancing Search and Recommendation Models.
• Robust commercial experience with Python
• Prior commercial exposure to tools like Keras, TensorFlow, and Python.
• Exceptional communication skills, with a knack for team and colleague engagement.

YOUR SKILLS AND EXPERIENCE:

• Educated to a MSc or PhD level in Stem subject.
• Proven Knowledge in the implementation of Machine Learning and clustering techniques.
• Strong commercial experience with Python and Visualisation and a proficient knowledge of Python, R and Scala.
• Previous commercial exposure to tools such as Keras, TensorFlow, Python.
• Excellent communication skills and team and colleague engagement.

SKILLS:

The Successful applicant will have the following:

• Google Tag Management Experience

YOUR SKILLS AND EXPERIENCE

The successful digital analyst will have the following skills and experience:

• Google Analytics

YOUR SKILLS AND EXPERIENCE

• Strong experience programming in SQL
• Good stakeholder management experience
• Background in marketing and customer analytics

THE COMPANY

Working in a B2B and B2C capacity this business is a rare business model in their sector. They are looking for a Senior Analyst to come on board and manage a team of 3. The role is still being defined to an extent so is keen for someone to be up for a challenge and come to the table with ideas on how to mould this team/projects.

WHAT WILL YOU GET TO DO?

As the Supply Chain Analytics Manager, you will be:

• Taking operational and supply chain data to a new level, revamping reporting and automating things to increase efficiency
• Line managing a team of 2 analysts and overseeing others, helping to plan their technical progression and their input in analytical and automation projects
• Analysing data across operations, supply chain, distribution, and scoping out the future of this analytics team in the business
• Further down the line, build out this team as required to work across forecasting demand, promotion planning, and distribution and delivery as part of wider supply chain analytics
• Liaising with stakeholders across the business (from customer analytics, marketing, sales, finance, warehouse and distributions) to understand requirements

THE ROLE

Coming into an ever-growing team, looking at Google Tag Manager set-ups, strategy, Audits, and Implementations. Working with the newly added Data and Insight manager to develop and centre of excellence within the company.

THE ROLE:

Work end-to-end as a Lead Data scientist, Leading a Team of Data Scintist & on the deployment of NLP/LLM’s models for a reputable Law Firm!

YOUR DAY-TO-DAY RESPONSIBILITIES WILL INCLUDE:

• You will be responsible for deploying off-the-shelf NLP/LLM Machine Learning Models to address business requirements.
• You will actively engage with software throughout the entire development lifecycle.
• work 50/50 hands of/Management.
• You will ensure the scalability, reliability, and efficiency of our data infrastructure.
• You will Monitor model and data pipeline performance, making necessary adjustments for optimization.
• You will take an active role in leading team meetings and client workshops.
• Assist in establishing software engineering standards for the machine learning engineering team and provide support across various disciplines under the guidance of leadership.

RESPONSIBILITIES:

• You will build and lead a technology team
• You will develop a technology strategy and roadmap
• You will deploy the AI solution to customers
• You will manage the tech budget
• You will oversee and manage the software development

THE ROLE:

This role is designed for a scientist with a strong interest in comprehending behaviour and harnessing extensive data and machine learning. The core objective is to understand the behaviour behind individuals’ health-related decisions, encompassing social determinants, personal beliefs, and attitudes.
Your responsibilities include recognizing possibilities to enhance the collection of data on a massive scale, such as through public data, commercial vendors, and web scraping, and applying advanced machine learning techniques to expand our resources and insights to broader populations.
You will have close collaboration with research scientists and engineers is essential to operationalize these innovations, enabling the generation of precise person-level insights and recommendations within our product.

YOUR DAY-TO-DAY RESPONSIBILITIES WILL INCLUDE:

• Deploying Data Science projects directly to the market linked to behaviour.
• Building Machine Learning algorithms and models using Python to develop new data products and services.
• Coding and testing new algorithms for prototype and production applications using Python libraries like TensorFlow and Keras.
• Translating data into meaningful insights using Python.
• Taking the lead in interacting with customers and stakeholders to showcase the project.

ROLE:

As a Senior Data Scientist, your daily responsibilities will include:

• You will work alongside the Engineering and Data team, setting the foundations for our data science capabilities.
• You will be enhancing the Search/Recommendation and Innovation method.
• When working with the Engineering team you will be building, testing, deploying, and optimising new models to improve their personalisation capabilities their product, and marketing channels/
• Partner with and manage internal stakeholders and third parties as needed.

ROLE:

Your day-to-day responsibilities will be as follows:

• Deploying Data Science projects straight onto the market.
• You will be building Machine Learning algorithms and models to create new data products and services using Python.
• You will be coding and testing new algorithms for prototype and production applications using Python libraries (TensorFlow and Keras).
• You will be translating data into meaningful insights using Python.
• Take the lead in the interaction with customers and stakeholders to showcase the project.

THE ROLE

Coming into an established team, of two other Implementation Specialists that will help you train and grow as well as your direct line manager who is an expert in their field.
You make sure that all the analysts have the data they need, and that all of the tags are firing and collecting data in Google Tag Manager.

THE ROLE

Work in the digital analytics team and alongside the Product teams, to tell a story with the data, ensuring that stakeholders not only understand the commercial aspect but how consumers are interacting with the platform.
Using Google Analytics, and SQL to query and analyze the data on a daily basis, as well as creating dashboards based on the web data.

THE ROLE AND RESPONSIBILITIES

• Collecting, cleaning and integrating data from various sources
• Taking ownership of data quality, definitions and accuracy
• Understanding trends, patterns and problem areas in data from a wide range of sources
• Analysing customer behaviour, preferences, and demographics to identify opportunities for improving products and services
• Evaluate, track key KPIs and provide insights into marketing, product and customer performance
• Analysing and reporting on metrics
• Creating clear and compelling data visualisations
• Translating data-driven insights into actionable recommendations for stakeholders

THE ROLE AND EXPERIENCE REQUIRED

• Manage a team of 3 – no management experience is required
• Work with SQL and Power BI to create dashboards and present insights across the business – SQL and a data visualisation experience is required
• Work with various verticals to support on projects – excellent stakeholders skills and someone with a strong personality
• Potentially some predictive work in Python – project dependent
• 3+ years of experience in the data field