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Careers

Careers at Data Vision Services

Data Vision Services is based in London, with offices in Borough. We are always looking for creative and diverse minds to join the team.

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Life at DVS

Our Values

Relentlessly Curious

Do you like solving puzzles? So do we. We take the time to evaluate and re-evaluate the best possible approach and strategy for our clients. We’re cross-functional, exploring the links between impact on each area of our 
clients’ businesses. We never stop exploring

Flexible

Do you like out-of-the-box thinking?
At DVS, lateral thinking is key. We
frequently work across the moving parts of a project to explore and unlock new potential avenues, finding new value for our clients by moving away from a linear consulting process.

Answer Focused

Do you like to see concrete results from your hard work? Creating objective value for our clients is at the forefront of what we do at Data Vision Services. By moving from the data upwards, and market research downwards, we know that the answers we reach are evidence-led and stand on solid ground.

‘For me, it’s the blend between challenging client work and engaging internal pieces. But above all else, it’s the people who support you to succeed and help you thrive.’

‘At DVS, I’ve had the chance to grow more in 7 months than in the 4 years before I joined.’

‘There’s a really friendly and collaborative environment – I love the flat hierarchy: everyone is responsible for the answer and there’s room for people to ask questions and debate openly as a result.’

‘The learning never truly stops. You get to the end of a six month period and look back, and you’re always surprised at just how much you’ve learned. Especially at the start of your career, where you’re looking to grow and upskill rapidly, DVS is a fantastic place to do that.’

Who we are looking for

We are expanding our team, and looking for bright individuals who like a dynamic and stimulating work environment.

About DVS
  • DVS is a startup consultancy, uniquely positioned at the intersection of data analytics and commercial strategy
  • We work on a variety of project types and across industries, however, there are a couple of key common threads in all of work: We focus on commercial value first, always digging deep into the business impact of our analyses and not simply delivering on a shopping-list of to-do’s or a rigidly defined brief
  • We answer strategic questions through the use of data. While focusing on the strategic question in hand, we get to answers by digging deep into data – ensuring our recommendations are specific and rooted in fact
  • We have worked on a variety of projects from devising pricing and commercial strategies to building decision-support tools for clients ranging from mid-market PE to FTSE 100 businesses
  • At DVS you will work with colleagues who have significant consulting and data experience, having worked in organisations such as OC&C, Monitor Deloitte and Strategy&
Apply For Roles

We hire at every level, from Associate through to Manager.

If you like problem-solving, and approaching questions with a creative and curious outlook, apply today through the job listings:

Job Description
Key Responsibilities

As an associate you’ll work on a variety of client-facing projects, helping answer strategic questions by developing analyses, tools, etc. The type of work will vary significantly depending on the project, however, the following is a non-exhaustive set of example core responsibilities: 

  • At the start of projects, supporting the development of hypotheses for “the answer” and defining tests to validate or disprove these.
  • Undertaking exploratory analysis in Tableau (or other preferred analytics tool) to develop the burden of proof for hypotheses.
  • Developing Machine Learning models in Python or R, for applications such as customer segmentation, marketing strategy and optimisation, pricing strategy, etc.
  • Supporting deployment of data platforms, visualisation & Machine Learning models in the client’s technical and business architecture (e.g. Azure, Snowflake, dbt).
  • Acting as a business partner to senior colleagues as well as clients, to advise on strategic decisions.
  • Collaborating with client teams to ensure successful delivery of projects, which can include helping ensure access to data, setting up collaboration processes, etc.

As well as client-facing work, you’ll also support on internal IP development; helping develop methodologies, define our service portfolio, etc.

Core Skillset

As this role is an entry-level role, we are not looking for any particular experience set. However, we believe a successful candidate will possess the following skills: 

  • Exceptional business acumen and “commercial knack”: Having a good sense for where opportunities for growth and optimisation exist within a business, being able to relate technical aspects into their business impact, etc.
  • Strong analytical profile: An ability to dissect business problems through analysis end-to-end, i.e. to define an approach, execute it, and critically analyse its results. A general ability to work with numbers and data.
  • Collaboration and team work: An ability to work in small, fast-paced teams – being able to understand one’s role within the project structure, deliver against it, and be flexible when needed.
  • An entrepreneurial mindset: DVS is a start-up and as such is suited to someone with an entrepreneurial mindset. This means having the ability to be flexible, proactive, and to get things done – even if these are not things you have done before, or even know how to!
Working Arrangement
  • Hybrid model, c.3 office days/week and four weeks remote working allowance pa remuneration.

The associate role offers a highly competitive salary, and opportunity for future equity in the business depending on progression.

Interested? Reach out with your CV and a brief introduction to yourself to our team at careers@datavisionservices.co.uk 

Apply For Roles
Job Description
Key Responsibilities

As a consultant you’ll work on a variety of client-facing projects, while also expected to take an active role in the strategic and operational side of the business, ensuring we are doing everything that is needed to continue to grow.

Project work will focus on helping answer strategic questions by developing analyses, tools, etc. The type of work will vary significantly depending on the project, however, the following is a non-exhaustive set of example core responsibilities. Some of these may be more or less applicable depending on your profile and preferred specialisation (more on this later):

  • At the start of projects, supporting the development of hypotheses for “the answer” and defining tests to validate or disprove these.
  • Leading project “workstreams”, being responsible for the delivery of the work within those work packages and ensuring these fit in with the wider project context.
  • Undertaking exploratory analysis in Tableau (or other preferred analytics tool) to develop the burden of proof for hypotheses.
  • Developing Machine Learning models in Python or R, for applications such as customer segmentation, marketing strategy and optimisation, pricing strategy, etc. Supporting the deployment of proofs of concepts of aforementioned Machine Learning models in the client’s technical and business architecture (e.g. Azure, Snowflake, etc.).
  • Acting as a business partner to senior colleagues as well as clients, to advise on strategic decisions.
  • Collaborating with client teams to ensure successful delivery of projects, which can include helping ensure access to data, setting up collaboration processes, etc.

Furthermore, as well as client-facing work, you’ll also support on the internal operations and strategy of the business, which may include:

  • IP development: Defining and iterating our service portfolio, methodologies, etc.
  • Strategy: Helping define our mid-long-term strategy and tracking of actions against this.
  • Business Development: Supporting our GTM efforts, helping win clients and sell projects.
  • Internal Operations: Helping develop internal processes.
Core Skillset

We are not looking for any particular hard skills set. However, we believe a successful candidate will possess the following skills:

  • Exceptional business acumen and “commercial knack”: Having a good sense for where opportunities for growth and optimisation exist within a business, being able to relate technical aspects into their business impact, etc.
  • Strong analytical profile: An ability to dissect business problems through analysis end-to-end, i.e. to define an approach, execute it, and critically analyse its results. A general ability to work with numbers and data.
  • Collaboration and team work: An ability to work in small, fast-paced teams – being able to understand one’s role within the project structure, deliver against it, and be flexible when needed.
  • An entrepreneurial mindset: DVS is an early stage startup and as such is suited to someone with an entrepreneurial mindset. This means having the ability to be flexible, proactive, and to get things done – even if these are not things you have done before, or even know how to!
Opportunities for Development

While the consultant role is a generalist role by design, there are two general development paths from consultant to senior consultant:

  • A commercial track: This profile focuses more on the business impact of projects, and includes: defining the “size of the prize” of analytics to a business (i.e. the potential upside of an analytics use-case), developing a fact-based narrative to take to senior client stakeholders, and generally acting as the “commercial voice” in projects
  • A technical track: This profile focuses more on the technical delivery of projects.

Typically, this will mean having a strong set of tools and methodologies (e.g. building.

ML models in Python) to be able to deploy in a variety of cloud setups and across projects, and being the go-to person for a project’s technical aspects.

Working Arrangement
  • Hybrid model, with typically 3 office days/week. Alternative models can be discussed.
Remuneration

The consultant role offers a highly competitive salary, and opportunity for future equity in the business depending on progression.

Apply For Roles
Job Description
Key Responsibilities

As a consultant you’ll work on a variety of client-facing projects, while also expected to take an active role in the strategic and operational side of the business, ensuring we are doing everything that is needed to continue to grow. 

Project work will focus on helping answer strategic questions by developing analyses, tools, etc. The type of work will vary significantly depending on the project, however, the following is a non-exhaustive set of example core responsibilities. Some of these may be more or less applicable depending on your profile and preferred specialisation (more on this later): 

  • At the start of projects, supporting the development of hypotheses for “the answer” and defining tests to validate or disprove these.
  • Leading project “workstreams”, being responsible for the delivery of the work within those work packages and ensuring these fit in with the wider project context.
  • Undertaking exploratory analysis in Tableau (or other preferred analytics tool) to develop the burden of proof for hypotheses.
  • Developing Machine Learning models in Python or R, for applications such as customer segmentation, marketing strategy and optimisation, pricing strategy, etc. Supporting the deployment of proofs of concepts of aforementioned Machine Learning models in the client’s technical and business architecture (e.g. Azure, Snowflake, etc.).
  • Building data pipelines in cloud platforms. Leveraging tools like dbt, SQL, Python, Azure Data Factory to build reusable data assets for clients
  • Acting as a business partner to senior colleagues as well as clients, to advise on strategic decisions.
  • Collaborating with client teams to ensure successful delivery of projects, which can include helping ensure access to data, setting up collaboration processes, etc.

Furthermore, as well as client-facing work, you’ll also support on the internal operations and strategy of the business, which may include:

  • IP development: Defining and iterating our service portfolio, methodologies, etc.
  • Strategy: Helping define our mid-long-term strategy and tracking of actions against this.
  • Business Development: Supporting our GTM efforts, helping win clients and sell projects.
  • Internal Operations: Helping develop internal processes.
Core Skillset

We are not looking for any particular hard skills set. However, we believe a successful candidate will possess the following skills: 

  • Exceptional business acumen and “commercial knack”: Having a good sense for where opportunities for growth and optimisation exist within a business, being able to relate technical aspects into their business impact, etc.
  • Strong analytical profile: An ability to dissect business problems through analysis end-to-end, i.e. to define an approach, execute it, and critically analyse its results. A general ability to work with numbers and data.
  • Collaboration and team work: An ability to work in small, fast-paced teams – being able to understand one’s role within the project structure, deliver against it, and be flexible when needed.
  • An entrepreneurial mindset: DVS is an early stage startup and as such is suited to someone with an entrepreneurial mindset. This means having the ability to be flexible, proactive, and to get things done – even if these are not things you have done before, or even know how to!
Opportunities for Development

While the consultant role is a generalist role by design, there are two general development paths from consultant to senior consultant: 

  • A commercial track: This profile focuses more on the business impact of projects, and includes: defining the “size of the prize” of analytics to a business (i.e. the potential upside of an analytics use-case), developing a fact-based narrative to take to senior client stakeholders, and generally acting as the “commercial voice” in projects.
  • A technical track: This profile focuses more on the technical delivery of projects. Typically, this will mean having a strong set of tools and methodologies (e.g. building ML models in Python) to be able to deploy in a variety of cloud setups and across projects, and being the go-to person for a project’s technical aspects.
Working Arrangement
  • Hybrid model, with typically 3 office days/week. Flexibility for short periods of remote work.
Remuneration 

The consultant role offers a highly competitive salary, and opportunity for future equity in the business depending on progression.

Job Description
Key Responsibilities

As a manager you will be able to demonstrate that you are not only technically credible, but also show confidence in leading teams and client engagements. You will be expected to act as a key figure and point of contact in client projects, taking part in every aspect while playing a major role in growing the team, and by extension, the organisation. Project work will focus on helping answer strategic questions by developing analyses, tools, etc. The type of work will vary significantly depending on the project; however, the following is a non-exhaustive set of example core responsibilities:

  • Taking part in all major parts of client projects from start to finish – leading project “workstreams”, being responsible for the delivery of the work and ensuring these fit in with the wider project context.
  • Maintaining key client relationships throughout and beyond the scope of relevant projects- acting as a business partner to senior colleagues as well as clients, to advise on strategic decisions.
  • Ensuring that client deliverables maintain a high level of quality and is delivered in a timely manner.
  • Developing data modelling pipelines in a variety of tools (e.g. SQL, Matillion, dbt) – and QA-ing work in these tools.
  • Developing Machine Learning models in Python or R, for applications such as customer segmentation, marketing strategy and optimisation, pricing strategy, etc.
  • Supporting the deployment of proofs of concepts of aforementioned Machine Learning models in the client’s technical and business architecture.
  • Coaching and mentoring junior team members, often leading by example
  • Other business development, marketing, and growth support as and when required.
Core Skillset

We believe a successful candidate will possess the following skills: 

  • Manager level experience from a consultancy, including strategy consulting experience.
  • Prior experience and deep familiarity with Python and SQL and relevant visualisation tools (Power BI/Tableau).
  • Prior exposure to private equity is desirable, but not mandatory
  • Strong consulting toolkit: communication, analytical, stakeholder management skills.
  • Good sense for where opportunities for growth and optimisation exist within a business, being able to relate technical aspects into their business impact, etc.
  • An ability to work in small, fast-paced teams.
  • An entrepreneurial and proactive mindset.
Working Arrangement
  • Hybrid mode: 3 office days/week and four weeks remote working allowance pa remuneration.

The Manager role offers a six figure package and equity, structured as follows:

  • Equity shares available.
  • Pension.
  • 25 Annual leave days.
  • Visa sponsorship available- we are willing to pursue a visa sponsorship track for the right candidate, but please keep in mind that there may be limitations based on times limits/process complications.

Interested? Reach out with your CV and a brief introduction to yourself to our team at: careers@datavisionservices.co.uk