Jobs

    Senior Data Scientist - Manchester, United Kingdom - Mirai Talent

    Mirai Talent
    Mirai Talent Manchester, United Kingdom

    5 days ago

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    Description

    Senior Data Scientist

    A purpose-driven, human-centred consultancy, fuelled by passion and dedication, is actively seeking an energetic and technically skilled data scientist to join their team. This role involves delivering high-quality analytical projects as the consultancy continues to disrupt the market.

    This presents a remarkable opportunity to be part of a company with ambitious goals, in an environment that nurtures the growth and success of its employees. Collaborating with renowned brands, and initiating their own social impact campaigns, the consultancy undertakes a variety of projects across different industries, with the goal of democratising advanced analytics and making it accessible to all.

    The company is entering an extremely exciting phase of the business as they prepare for a relaunch to trigger the next period of growth. As the business grows, the data scientist will spearhead the development of the data science team and function in conjunction with existing team.

    What you'll be doing:

    • As a Senior Data Scientist, you will be responsible for leading on the delivery of ML/AI solutions for their clients. This is an end-to-end responsibility with the following standard lifecycle: Joining business development leads on client prospecting calls to understand and identify possible opportunities.
    • Leading the discovery phase of ML/AI opportunities and supporting on digital transformation programmes. Workshop preparation and facilitation, requirements gathering and strategy document writing and presentation.
    • Leading the end-to-end design, development, deployment and documentation of ML/AI models, including any insight analysis and presentation to clients.
    • Handover and training of relevant client stakeholders to ensure optimal adoption of solution.
    • Identification and securing of further analytical projects reared during the course of project delivery.

    Projects you'll drive:

    • Development of a ML model to predict the likelihood of customer engagement following a specific operational action for a financial services business.
    • Development and deployment of an LLM solution to recommend the appropriate course of action for an IT managed service business looking to reduce their time to resolution.
    • Build of an optimised product forecast and planning solution for a food manufacturing business looking to increase the accuracy of production, and therefore their overall profitability.

    What you'll be responsible for:

    • End-to-End design, development, deployment, and documentation of ML/AI models.
    • Delivery of client project work utilising Agile project management methodology and framework.
    • Client interaction, to understand business challenges and identify data science opportunities, in addition to effective communication of project delivery and technical concepts to all stakeholders.
    • Lead on project scoping and discovery for new client opportunities, including the documentation to our standards for client review.
    • Support with non-analytical project delivery during analytical down time, or engineering peaks to ensure company delivery remains on schedule.
    • Continuous development – stay up to date with the latest advancements in ML/AI and relevant technologies.
    • Support in raising their profile through networking, client development and brand ambassadorship.

    What you can bring:

    Essential:

    • Strong proficiency in Python.
    • Proficiency in using Microsoft Azure cloud services for Machine Learning and data science tasks.
    • A degree in a relevant field, such as Data Science, Mathematics or Computer Science (with Machine Learning modules). We're always interested in hearing if you've worked on a masters project
    • Strong understanding of Machine Learning techniques and frameworks, including demonstrable experience in developing and deploying machine learning models in a commercial setting

    Preferable:

    • Strong proficiency with other programming languages e.g. SQL.
    • Microsoft Certified: Azure Data Scientist Associate, AI engineer or related certifications.
    • Familiarity with Agile working methodologies.
    • Exposure to Azure Cognitive Services.
    • Confidence with utilising other forms of AI in a business setting, including but not limited to LLMs and Generative AI.
    • Use of Databricks for model development and deployment.

    You'll thrive if you have:

    • Commercial Acumen: We are a small team, and to grow we require every individual to understand how to identify opportunity and maximise value for our clients.
    • Communication: Most of our clients have little understanding or experience with ML models. We want to convey complex technical concepts to non-technical stakeholders maintaining high levels of engagement.
    • Resilience and Agility: Working in a start-up company requires an expectation for regular change and dealing with unexpected events. We require individuals that can thrive in those environments and can find opportunity.
    • Ambition and Risk Management: We are aspiring to build cutting edge technological solutions, which carries risk. Mistakes are inevitable, and our fail fast culture ensures that no-one is afraid to take a calculated risk for fear of failure, rather that they understand how to positively respond to it.
    • Positivity and Energy: Think solutions, not problems – we embrace individuals that can see the silver lining in adversity and look for a way forward for themselves and the business.
    • Discipline and Project Management: Whilst our culture is of high trust and support, we are not handholding. Employees are expected to self-manage project workload and ensure risks and obstacles are appropriately communicated, so that support can be provided at the earliest opportunity.
    • Transparency, honesty and pro-activity: We believe in being honest throughout the organisation and expect the same in return. We commit to high levels of transparency from our first engagement, right through to the last and is driven from the CEO.
    • Team Player: Whilst individual success is important, we do not believe in prioritising individuals over the wider team. We aspire for every employee to share in the success of the company, and therefore we look for individuals that are motivated by team success. Win together, lose together.

    What's in it for you?

    • 35 days holiday plus bank holidays
    • Flexible Working Policy
    • Private Medical and Dental
    • Personal Nutrition Service (including annual blood tests)
    • Discretionary Bonus Scheme
    • Training and Development
    • Company Pension Scheme

    Mirai believes in the power of diversity and the importance of an inclusive culture. We welcome applications from individuals of all backgrounds, understanding that a range of perspectives strengthens both our team and our partners' teams. This is just one of the ways that we're taking positive action to shaping a collaborative and diverse future in the workplace.


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