Category: Recruitment

Job title:
E-Commerce Executive

Reports to:
Head of Online Trading

Main Purpose of Job:
The role of the E-Commerce Executive will be to manage and grow our portfolio of online marketplaces. This includes the day-to-day scope of online marketplace management; merchandise, optimise listings and implement seasonal marketing campaigns. This role is key in optimising sales and profitability through clear commercial planning and strategy, at pace, with meticulous attention to detail. The role encompasses all aspects of merchandising, implementing marketing activities, sales reporting and analysis to maximise sales profit.

Key tasks:
• Manage, expand and optimise on a day-to-day basis dedicated market places to increase
sales & profit across multi product categories
• Optimise product listings to the highest standard ensuring content is relevant and effectively drive incremental sales
• Constantly review gaps in our product range & new opportunities
• Work closely with the digital team to implement sales plan, pricing and product information
• Maximise utilisation of all marketing tools (e.g Amazon PPC advertising)
• Ensure customer service, feedback and product rankings are optimised
• Analyse product sales and channel performance to deliver optimum profitability with the
commercial & digital team
• Identify, analyse and propose innovations, promotions, efficiencies and new product
opportunities to grow sales.
• Build, manage and evolve relationships with key online trading accounts.
• Monitor and track competitor activity and pricing.

The above is not an exhaustive list of duties and you will be expected to perform different tasks as necessitated by your changing role within the organisation and the overall business objectives of the organisation.

Education and Qualifications:
• Ideally, a digital marketing or business related degree, or qualified through relevant level and type of experience
• Good general level of education in core numeracy, literacy, and ICT subjects

Relevant Experience:
• Ideally, relevant work experience in digital sales environment or an account management role
• Experience in building and driving sales in market places platforms (such as Amazon, eBay, etc)
• Mix of broad marketing skills and preferably (but not essential) specific knowledge of online marketing in an online retail environment
• Experience establishing and maintaining good working relationships with key retail accounts
• A sound and technical knowledge of tools and systems used across marketplaces,
• Understanding of digital marketing (but not essential)
Special Attributes/Individual Performance Characteristics:
• Excellent communicator and able to work in a confident manner
• Highly organised with excellent attention to detail

• Good understanding of how to trade, merchandise and market retail websites and how to manage relationships with key retail accounts
• A passion for internet retail and a solid understanding of the online marketplace and retail trends.
• Experienced in IT software package Excel, Word, Powerpoint
• Highly confident in using ecommerce platform or equivalent
• Happy to work alone or as part of a team
• Able to take constructive criticism
• Reliable and consistent
• Enthusiastic
• Conscientious & self-motivated

To apply, contact the HR Adviser Caitlin Hamilton (caitlin.hamilton@bazaar-group.uk).

Vacancy for Graduate Data Scientist
Salary: £22,869
Location: Cobalt/Remote
Job Reference Number ET012/22
About the Role
Are you passionate about data-driven insights? Would you like to earn an additional qualification while you work? Then we have the right opportunity for you.

As a Platinum IIP accredited organisation, colleague experience is at the heart of our approach. We believe our Society has a unique purpose and special culture and we are committed to being a great place to work where our colleagues are supported to realise their full potential. We are seeking bright and ambitious new talent to help us achieve our ambitions and have an exciting opportunity to join us this September in our Risk Function.

About the role

As a Graduate Data Scientist Apprentice, you will be working towards a Level 7 (MSc equivalent) qualification. Your learning journey will equip you with the knowledge, skills and behaviours to become a fully-fledged data scientist by the time you’re finished. You will also be working within one of the biggest employers in the North East; our employees and the community were we operate are at the heart of what we do.

You will have the opportunity to manage data from end to end. You will start by querying our databases so you will know/be willing to achieve proficiency in SQL; you will then use R/python to build models and create business insights. Once you have a story to tell you will end your analysis by conveying it to the business in a suitable format, perhaps using Excel, R Shiny or Power BI.

With the support of your manager and mentor, you will have objectives to work towards to make sure you are developing during your time with us. You will have exposure to the responsibilities of wider team by supporting projects and enhancing our current data & analytics capability.

What else?

Love a challenge?

We go beyond the traditional apprenticeship route to offer you the opportunity to help you learn and experience things beyond your role that will support your career development through a team challenge project with our Early Talent community.

We’re passionate about our programme and always looking for ways to evolve and improve and that’s where’ll you come in. We really want to hear your ideas throughout your time with us, so you’ll have lots of opportunity to suggest new and innovative ways of working.

Like what you see? It’s easy to apply were all you need to do is submit a short application form & CV via our online portal. Our approach to selection is through a virtual assessment centre which will include competency based interview and an activity specific to the business area that you have applied for and a group task.

About You
We’re looking for an enthusiastic and resourceful individual, who is passionate about programming, data-driven insights and storytelling. You will thrive with a challenge and the chance to create from scratch.

You should have a minimum of a 2:1 honours degree, or international equivalent, in a highly numerical degree.

An ability to communicate effectively with others via a range of methods along with first class attention to detail is a must.

Be able to demonstrate basic understanding and usage of a personal computing device with basic it admiration skills

For full details please download the role profile.





About Us
The Risk function is the Society’s second line of defence, encompassing our compliance and risk functions that provide independent oversight of the risk management activities of the first line of defence.

As an inclusive employer and a member owned mutual, we aim to reflect the communities we serve in order to drive the right colleague, customer and business outcomes. We encourage applications from candidates from a variety of backgrounds and life experiences, providing the diversity of thought required to constructively challenge and drive innovation.

As well as joining a great team within a truly local organisation our colleagues also benefit from;

25 days holiday plus bank holidays
Corporate bonus scheme
Generous Pension Scheme
Performance Related Pay
Staff offers and access Subsidised event tickets
Employee Assistance Program
Life assurance


The health, well-being and safety of our colleagues and candidates during this challenging time is paramount. With this in mind, we have refreshed our approach to recruitment and have outlined a new process of remote selection and on boarding. Upon starting a new role with us, we will ensure you are equipped with the correct tools and technologies to enable you to do your best work remotely. Longer-term, our focus remains on driving a culture of flexibility and encouraging colleagues to maintain a healthy work/life balance through flexible working arrangements

Download Role Profile

Location

Dstl Newcastle, Catalyst Building, Newcastle upon Tyne

About the job

Summary

Be part of a new Dstl AI & Data Team in Newcastle.

Have you heard that Dstl is establishing a new team focussed on artificial intelligence and data science in Newcastle? Are you interested in being part of a new and unique team in a domain which is in growing demand across Defence and Security?

We are looking for hard working, experienced individuals to undertake exciting data science and artificial intelligence related research to help enable Defence to turn data into information advantage and to accelerate the responsible adoption of artificial intelligence across Defence.

We are seeking:
• AI Researchers
• Data Scientists
• Data Engineers
• AI Systems Thinkers

Dstl recognises the importance of diversity and inclusion as people from diverse backgrounds bring fresh ideas. We are committed to building an inclusive working environment in which each employee fulfils their potential and maximises their contribution.

We particularly welcome female and ethnic minority applicants and those from the LGBTQI community, as they are under-represented within Dstl at these levels.

Job description

In these roles you will:
• Bring your background and thinking to guide the research of novel techniques and capabilities to work on a variety of exciting and challenging problems that owing to their sensitivity cannot be done elsewhere.
• Make a difference and have pride in what you do; our work improves the front-line capability of the UK Armed Forces, keeps British citizens safe and support national prosperity.
• Form links across Dstl, Government, industry and academia. We work with an array of partners both at home and abroad including the Armed Forces, other Government departments and industry.
• Develop your career in exciting new areas that are growing to meet ground breaking challenges.
• Support Group wide technical activities such as technical forums, monthly meets and lightning talks and the mentoring of junior staff.
• We’re proud of our impartial status, doing things for the right reasons.

We love to publish academic papers and file patents. We’ve used open competitions (e.g. Kaggle) to access the very best worldwide expertise in machine vision. And we’ve sought to harness the power of the open source software community through the release of various tools on Github, for example Baleen and Stone Soup (https://github.com/dstl).

We give our people the freedom to think and innovate; working with others who are passionate about delivering quality technical solutions in a friendly and encouraging environment. And we offer loads of opportunities to keep up-to-date with the latest developments, through training and scholarships, attending and presenting at conferences, and working closely with industry and academic colleagues.
We will be running an online Meet and Engage session on Thursday 17 Feb between 5-6pm where you will have the opportunity to ask any questions about the roles we are recruiting for or the recruitment process itself. This will be a text based chat room, to register and attend the event please follow this link – https://meetandengage.com/akz8mzww1

Skills:
You will have knowledge and experience in one or more of the following areas:
Essential:
• AI and Machine Learning
• Data science research and development
• Systems engineering (applied to data / information / intelligence challenges)
• Data Engineering
• Data management/curation
• Digital signal processing
• Data architectures

Desirable:
• Experience working with industry or academic partners
• Experience setting organisational or technical direction and capability planning
• Knowledge of military systems and platforms
• Ethics/legal
• Human machine teaming
• Consulting skills

Responsibilities

We need great people! We’re looking for those with:
• The ability to develop positive and effective working relationships with internal colleagues and external stakeholders, partners and suppliers
• A desire to deliver world-class science and technology with the sole purpose of keeping the UK, our armed forces, security services, and our citizens, safe and secure.
• Able to successfully manage multiple tasks simultaneously.
• The ability to apply statistical rigour, critical thinking and creative problem solving to a variety of data sets (e.g. text, imagery, geospatial, time-series), seeking out new, high-risk, high payoff technologies and techniques.
• A natural curiosity and independent drive to research, experiment and understand
• Enthusiasm and experience in applying AI, ML and Data Science techniques to complex problems.
• A strong focus on learning new skills and techniques in order to keep current and continue their own professional development.
• The ability to lead and work collaboratively to deliver innovative impactful results.

Qualifications:
Essential:
• A minimum 2:1 degree in a relevant numerical degree with working knowledge of mathematics and statistics e.g. data science, computer science, geospatial science, mathematics, statistics, physics, chemistry, engineering or related technical subject. Those with equivalent experience are also actively encouraged to apply.

Desirable:
• A higher degree (MSc or PhD) in a related subject is desirable although we are also keen to hear from those with equivalent experience.

Important Information
Our work in defence, security and intelligence requires our employees to be UK Nationals who are able to gain a high level of security clearance to undertake the projects we are involved in to protect us from security threats. For this reason, only UK Nationals will be able to apply for this role. If you are an international or dual-national candidate, and you think you have the skills we need, please consider applying to any of our government, security or defence partners.

This role will require full UK security clearance and you should have resided in the UK for the past 5 years. For some roles Developed Vetting will also be required, in this case you should have resided in the UK for the past 10 years.

If you are a current Dstl employee, you are encouraged to inform your line manager of your application as they can support you through the process and should you be successful it will help in negotiating a release date.

Work location
Dstl is strongly encouraging blended and flexible working either at one of our sites or from home or both. We want to empower you to undertake your duties at the most appropriate location for the task, however you will be allocated a Dstl site as a base. You may be required to travel to other Dstl and MoD sites as required.

Behaviours

We’ll assess you against these behaviours during the selection process:

• Changing and Improving
• Working Together
• Leadership
• Seeing the Big Picture

Click the link below to apply:

https://www.gov.uk/government/organisations/defence-science-and-technology-laboratory/about/recruitment