DATA ANALYST

CENTRAL LONDON – HYBRID

£45,000

An opportunity for a Data Analyst in the early stages of their data career to take a step up in ownership and make a move from ad hoc reporting to using their data insights to drive the business. If you have experience working with Tableau and SQL, make sure you apply through the link on this page!

Please note that this client cannot offer sponsorship now or in the future.

THE COMPANY

We are working with a global editorial content marketing agency. Unlike typical content marketing agencies, this organization specializes in complex industries often subject to stringent regulations.

These sectors include finance, energy, private investments, and sustainable resources. The company excels in simplifying intricate subject matter for various legislative stakeholders, such as government bodies, investors, and the general public.

YOUR ROLE AND RESPONSIBILITIES

In your role as a Data Analyst, your responsibilities will include:

• Building and maintaining Tableau dashboards, including occasional new dashboard creation.
• Utilize data analytics tools to extract practical insights for clients, with a primary emphasis on content and digital strategies.
• Collaborate cross-functionally to actively pinpoint and secure chances for organic growth within current client relationships.

YOUR EXPERIENCE

To qualify for this Data Analyst role, you will require:

• Proficiency in Tableau or other similar data visualization platforms to deliver data effectively to both clients and internal stakeholders.
• Strong experience working with SQL to write custom queries.
• Cloud experience is desirable.

THE BENEFITS

A successful Data Analyst will receive:

• A salary of up to £45,000 in their first year.
• Hybrid working.
• Other benefits

HOW TO APPLY

Please register your interest by sending your resume via the Apply link on this page.

Senior Data Scientist (REMOTE)

£60 000 – £75 000

London (Remote)

NEW REMOTE SENIOR DATA SCIENTIST OPPORTUNITY!

The Company:

At the core of the company’s product is its data, you will be making data science the engine of the product, for a Telecoms/Engineering business.

Role:

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

• Take Initiative and Exhibit Leadership: Display proactive leadership in identifying and advancing the delivery of impactful data science products.
• Craft Experiments and Develop Robust Machine Learning Models: Engage in the iterative process of designing experiments and constructing resilient machine learning models, emphasizing thorough evaluation.
• Extract Actionable Insights from Complex Data: Concentrate on deriving practical insights from intricate datasets, and implement automated analytical pipelines to provide various business insights, encompassing predictive analytics and anomaly detection.
• Collaborate with Machine Learning Engineering Team: Partner closely with the machine learning engineering team members to deploy machine learning models effectively into our production system.
• Bridge Data Science and Business Units: Serve as the intermediary between the data science team and business divisions, simplifying intricate discoveries into clear, actionable insights for non-technical stakeholders.
• Mentor Junior and Mid-level Data Scientists: Offer guidance and mentorship to less experienced data scientists, with a focus on instilling best practices in data analysis, modeling techniques, and business acumen.

Your Skills and Experience:

• Educated to a MSc or PhD level in Stem subject.
• Proven Knowledge in the implementation of Machine Learning and advanced statistical techniques (Spark).
• Strong commercial experience with Python and a proficient knowledge of Python.
• Cloud experience in AWS, Java, SQL
• Excellent communication skills and ability to excel in a scale-up.

Benefits:

• €60000 – £75000 Competitive Salary.
• Outstanding career progression.
• Performance Bonus.
• Remote
• Car Allowance

How to Apply

Please register your interest by sending your CV to Luc Simpson-Kent via the Apply link on this page.

DIRECTOR OF DATA SCIENCE (MARKETING)

LONDON

Salary: up to £100,000 +(Bonus)

A Marketing Agency company is looking to hire an experienced data leader to grow out its analytics function!

COMPANY:

Are you ready to lead the charge in transforming marketing through data-driven insights and advanced analytics? Join an organisation, and work with Big Players in the Market.

RESPONSIBILITIES:

As the Head of Data Scientist (Marketing), you will play a pivotal role in shaping our vision for advanced analytics. Your mission is to harness the power of data and cutting-edge techniques to provide actionable and inspiring insights to our clients. Here’s what you’ll be doing:

• You utilize Machine Learning and Artificial Intelligence to optimize Customer Experience and Marketing strategies, encompassing:
• You will develop and deploy Bayesian Statistical models for marketing and media measurement.
• You will champion the statistical measurement agenda, fostering collaboration with internal and external research and analytics stakeholders.
• You will collaborate cross-functionally with Data Scientists across the organization to build expertise in media measurement and modeling solutions.
• You will need to translate data and statistical modeling into actionable insights that drive value.

REQUIREMENTS:

To excel in this role, you should possess the following qualifications and skills:

• Master’s degree in a relevant quantitative discipline (preferred).
• Experience hands-on modeling experience in the industry.
• Experience in statistical modeling expertise, with a focus on Bayesian modeling and relevant education in advanced analytics.
• Proficiency in a wide range of statistical techniques, including Bayesian Econometrics, Experimental Design, Generalized Linear Mixed Models, Non-parametric analysis, Choice Modeling, and ML modeling for imagery data.
• Possess a strong understanding of emerging analytics techniques and their practical application.
• Excellent programming skills and proficiency in R, Python, SQL, and other advanced statistical software.

BENEFITS:

• Salary up to £100,000
• Bonus
• Hybrid working model

HOW TO APPLY:

Register your interest by sending your CV to Luc Simpson-Kent via the Apply link on this page.

SENIOR DATA SCIENTIST

Up to £120,000 + Bonus

LONDON (Hybrid)

Ready to elevate your career to new heights? Join a team of experienced Data Scientists and Data Engineers to create impactful models and work with cutting-edge technologies. The company aims to become the world’s largest digital establishment providing services based on Machine Learning models.

The Role:

Your day-to-day responsibilities will include:

• Deploying Data Science projects directly to the market.
• 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.

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.

Benefits:

• Competitive salary range of £110,000 – £120,000.
• Outstanding career progression opportunities.
• Flexible working arrangements.

How to Apply:

Register your interest by sending your CV to Luc Simpson-Kent via the Apply link on this page.

Machine Learning Engineer

up to £100 000

London

NEW Machine Learning Engineer Opportunity Available with a Leading Organisation!

The Company:

Are you an expert in Machine Learning?

We are on the lookout for a Machine Learning Engineer to join an ambitious team.

The objective of this company is to grow even more prominent in their industry through Data scientists/Engineering and Machine Learning Ops’ best practices and you will be working on Recommendation Systems and Deploying complex ML Models.

The Role:

As a Machine Learning Engineer:

• Apply Machine Learning Engineering project
• You will build the Machine Learning Infrastructures interacting with CI/CD pipelines, MLFlow, Kafka, and Kubernetes.
• You will be developing and Deploying Advanced Analytical algorithms / scalable solutions using Cloud.
• You will be working with a team of highly skilled Data Engineers and Data Scientists.
• You will be able to have ownership and lead exciting projects.
• Regularly liaise and engage with stakeholders.

YOUR SKILLS AND EXPERIENCE:

• You need to have a MSc or PhD level in Stem subject.
• You must have proven knowledge in the implementation of Machine Learning and clustering techniques with commercial experience as a Data Scientist.
• DevOps experience in CI/CD.
• Experience using Tensorflow, Kubernetes, MLFlow, Kafka, and Airflow.
• Experience using Python is a must (tools like AWS and Spark are beneficial)
• Excellent communication skills and team and colleague engagement.
• A keen interest in problem-solving and using scalable machine learning to solve the biggest data-related problems

BENEFITS:

• up to £100,000 Competitive Salary
• Hybrid work

How to Apply:

Please register your interest by sending your CV to Luc Simpson-Kent via the Apply link on this page.

Geospatial Engineer

Up to £70,000

London (Hybrid)

This is an exciting new opportunity Hybrid Geospatial Engineer

About the Company:

Harnham is collaborating with an exciting company that has developed an advanced geospatial Data platform.

This platform is to assess the impact of Natural Disasters and Help people! You will investigate the damage of earthquakes, Floods, Fires, and more, through Satellite imagery and Drones, you will make a full assessment of the damage to ensure the right financial and human support can be sent on to the location in need!

Role:

As a Geospatial Engineer, you will be tasked to create robust systems & and prepare the infrastructure from a Geospatial engineering perspective.

Responsibilities:

• You will create end-to-end solutions and prototypes for geospatial intelligence applications using Agile Methodologies.
• You will research and implement new sources of data for more accurate disaster planning sources
• You will expand the current geospatial searching needs to cater to more robust data ingestion and analysis geo-queries
• You will build the Geo Data Pipeline

Skills and Experience:

* Hold a relevant degree, preferably at the PhD or Master’s level, in Remote Sensing or Computer Vision.

* Demonstrate excellent understanding and extensive experience with Geospatial Engineering, particularly in the context of Remote Sensing/Satellite Imagery.

* Proficient in Python

* Experience with Geospatial libraries and APIs: GDAL, RasterIO, Shapely, GeoPandas.

* Familiarity with Deep Learning libraries is nice to have.

Benefits:

* Hybrid working model (1/2 day a week in the city of London)

* Salary up to £70,000.

* Healthcare & Pension

How to Apply:

If you’re interested in this role, please express your interest by sending your CV to Luc Simpson-Kent using the application link on this page.

SENIOR DATA SCIENTIST

REMOTE

£60,000 – £75,000 + 5.8k Car Allowance and 10% Bonus

This is a chance to join a leading telecomms company to create impactful models and work with cutting-edge technologies.

RESPONSIBILITIES:

• Apply data science and machine learning methods for recommender systems, propensity modelling and NLP – to improve the customer experience
• Part of a team of 3 reporting into the Head of Data Science – within a wider 20 strong Data function
• Focusing on maximising commercial value
• Conduct analyses to endorse or discover fresh projects, products, and business prospects, including presenting findings and recommendations to senior leadership.
• Working on a variety of data responsibilities including Cross Validation, Data Leakage and Feature Engineering

REQUIREMENTS:

• MSc or PhD level education in STEM subjects.
• Proven expertise in implementing Machine Learning for customer-driven work
• Proven commercial value on your CV (evidence of %’s saved or £’s increased!)
• Commercial exposure to Python, SQL
• Excellent communication skills and ability to engage with teams and colleagues.

NEXT STEPS:

Please reach out to Joseph Gregory.

Please note. This role cannot offer VISA Sponsorship at this stage.

SENIOR DATA SCIENTIST

REMOTE

£60,000 – £75,000 + 5.8k Car Allowance and 10% Bonus

This is a chance to join a leading telecomms company to create impactful models and work with cutting-edge technologies.

RESPONSIBILITIES:

• Apply data science and machine learning methods for recommender systems, propensity modelling and NLP – to improve the customer experience
• Part of a team of 3 reporting into the Head of Data Science – within a wider 20 strong Data function
• Focusing on maximising commercial value
• Conduct analyses to endorse or discover fresh projects, products, and business prospects, including presenting findings and recommendations to senior leadership.
• Working on a variety of data responsibilities including Cross Validation, Data Leakage and Feature Engineering

REQUIREMENTS:

• MSc or PhD level education in STEM subjects.
• Proven expertise in implementing Machine Learning for customer-driven work
• Proven commercial value on your CV (evidence of %’s saved or £’s increased!)
• Commercial exposure to Python, SQL
• Excellent communication skills and ability to engage with teams and colleagues.

NEXT STEPS:

Please reach out to Joseph Gregory.

Please note. This role cannot offer VISA Sponsorship at this stage.

Head of Data

London

Up to £100,000

One of the UK’s leading fintech and proptech businesses is looking for a Head of Data to shape their data strategy

THE COMPANY

This company is a growing fintech business within the UK, that focus on educating and assisting individuals and businesses with managing risk. They are looking for a highly skilled and experienced individual to roll out their data strategy, driving data-driven decision-making, and optimise their operations. This position will play a key part in assisting this company to become a fully data-driven business.

THE ROLE

• Execute a comprehensive data strategy aligned with the business vision
• Define and deliver the roadmap for data collection, storage, integration, and utilisation
• Lead the implementation of data governance practices to ensure compliance with regulations
• Work closely with third-party data relationships to align technical solutions
• Collaborate cross-functionally to identify data requirements
• Lead, manage, and develop the team to deliver against growth plans

YOUR SKILLS AND EXPERIENCE

• Extensive experience in data management, analytics, and strategy
• Experienced in Azure, SQL, and Python
• Strong knowledge of data governance, data quality, and data protection principles
• Strong leadership skills
• Excellent stakeholder management skills

BENEFITS

Up to £100,000 plus benefits

Great work-life balance with a flexible hybrid working pattern

Opportunity to grow and develop your career

HOW TO APPLY

Please register your interest by sending your CV to Lauren McAlister via the Apply link on this page.

Lead Pricing Analyst

London

Up to £55,000

One of the UK’s leading Global Events companies is looking for a Lead Pricing Analyst to join their team.

THE COMPANY

This company is looking for a Lead Pricing Analyst to join their team to help transform pricing strategies through the use of predictive analysis and pricing modelling to allow the business to make data-driven pricing decisions.

THE ROLE

• Lead the development and execution of pricing strategies
• Analyse internal and external data to deliver actionable pricing insights
• Build pricing optimisation models to support growth objectives
• Implement pricing experimentation to understand market sensitivity to price changes
• Collaborate with other teams such as Business Intelligence to build dashboards to monitor pricing performances

YOUR SKILLS AND EXPERIENCE

• Experienced in building pricing models in a product environment
• Technically skilled in SQL and Excel
• Strong analytical and problem-solving skills
• Strong communication skills
• Good stakeholder management skills

BENEFITS

Up to £55,000 plus benefits

Great work-life balance with a flexible hybrid working pattern

Opportunity to grow and develop your career

HOW TO APPLY

Please register your interest by sending your CV to Lauren McAlister via the Apply link on this page.

Senior Fraud Analytics Manager

London

Up to £85,000

A leading specialist consumer finance business is seeking a Senior Fraud Analytics Manager to lead a team in Transactional Fraud prevention and detection strategies.

THE COMPANY

This is an exciting and unique financial service and fintech company and this is an excellent opportunity to join and become a part of a leading business that is continuing to grow. This position will lead all aspects of Transactional Fraud prevention and detection strategies, as well as Fraud Intelligence and First Party fraud strategy. You would be responsible for the management of a team who will be responsible for day-to-day analysis of current fraud trends and developing and optimising strategies.

THE ROLE

• Identifying new and emerging fraud trends internally
• Gaining findings to enable the implementation of proactive prevention strategies
• Managing a team of fraud analysts, ensuring they are fully engaged
• Build and develop relationships with partners to ensure the effectiveness of strategies
• Provide thought leadership to other teams

YOUR SKILLS AND EXPERIENCE

• Experience in SQL, SAS and/or Python
• Experienced in developing fraud strategies and insights
• Expertise in fraud detection systems such as TMX, Boicatch, Feedzai, Hunter
• Strong analytical background, handling large volumes of data
• Previous experience managing a team

BENEFITS

Up to £85,000

A hybrid working pattern

Opportunity to grow and develop your career

HOW TO APPLY

Please register your interest by sending your CV to Lauren McAlister via the Apply link on this page.