Participate in requirements gathering, identify and document user needs after extensive research through interviews and discussions with target users and stakeholders from the business.
Design effective new user experiences as well as improve existing ones. Validate the created User Experiences to meet envisaged goals and stipulated standards. All this should be done within agile sprints.
You are expected to collaborate across the spectrum with product development and marketing teams to facilitate dissipation of the deeper context of the product being worked upon.

Expected Expertise:

Preferably have a B.Des/DesDegree or equivalent degree with experience in Design industry with an amazing design portfolio. Have 0-3 years of experience in UX Research.
A user-centred approach to design with experience in conducting user research
Experience in employing any of the relevant research methods: unmoderated sessions, Tree sorts, surveys, A/B tests, ethnographic enquiries, UX heuristics and benchmarking, to name a few.
Effective Communication and collaboration skills that enable team-members to build robust products from the researched insights.
Should be eager to see the bigger picture by connecting the dots of the product, users, stakeholders and context.

Role Responsibilities:

Participate in requirements gathering, identify and document user needs after extensive research through interviews and discussions with target users and stakeholders from the business.
Design effective new user experiences as well as improve existing ones. Validate the created User Experiences to meet envisaged goals and stipulated standards. All this should be done within agile sprints.
You are expected to collaborate across the spectrum with product development and marketing teams to facilitate dissipation of the deeper context of the product being worked upon.

Expected Expertise:

Preferably have a B.Des/DesDegree or equivalent degree with experience in Design industry with an amazing design portfolio. Have 0-3 years of experience in UX Research.
A user-centred approach to design with experience in conducting user research
Experience in employing any of the relevant research methods: unmoderated sessions, Tree sorts, surveys, A/B tests, ethnographic enquiries, UX heuristics and benchmarking, to name a few.
Effective Communication and collaboration skills that enable team-members to build robust products from the researched insights.
Should be eager to see the bigger picture by connecting the dots of the product, users, stakeholders and context.

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About Fibonalabs

Founded :

2018

Type :

Products & Services

Size :

20-100

Stage :

Profitable

About

Fibonalabs is a UI UX design agency that specializes in the product development process and world class user experience to transform and scale any business.

Karthikeyan T

Ridhima sinha

rakhi gupta

Koushik Karthik

Palak Bhatnagar

Company social profiles

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Natural Language Processing (NLP)

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Location: Hyderabad, Hybrid

We seek an experienced Lead Data Scientist to support our growing team of talented engineers in the Insurtech space. As a proven leader, you will guide, mentor, and drive the team to build, deploy, and scale machine learning models that deliver impactful business solutions. This role is crucial for ensuring the team provides real-world, scalable results. In this position, you will play a key role, not only by developing models but also by leading cross-functional teams, structuring and understanding data, and providing actionable insights to the business.

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● Proven experience as a Lead Machine Learning Engineer, Data Scientist, or a similar role, with extensive leadership experience managing and mentoring engineering teams.

● Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, or a related field.

● Demonstrated success in leading teams that have designed, deployed, and scaled machine learning models in production environments, delivering tangible business results.

● Expertise in machine learning algorithms, deep learning, and data mining techniques, ideally in an enterprise setting.

● Hands-on experience with natural language processing (NLP) and data extraction tools.

● Proficiency in Python (or other programming languages), and with libraries such as Scikit-learn, TensorFlow, PyTorch, etc.

● Strong experience with MLOps processes, including model development, deployment, and monitoring at scale.

● Strong leadership and analytical skills, capable of structuring and interpreting data to provide meaningful business insights and guide decisions.

● A practical understanding of aligning machine learning initiatives with business objectives.

● Industry experience in insurance is a plus but not required.

What You’ll Be Doing

● Lead and mentor a team of strong Machine Learning Engineers, synthesizing their skills and ideas into scalable, impactful solutions.

● Have a proven track record in successfully leading teams in the development, deployment, and scaling of machine learning models to solve real-world business problems.

● Provide leadership in structuring, analyzing, and interpreting data, delivering insights to the business side to support informed decision-making.

● Oversee the full lifecycle of machine learning models – from development and training to deployment and monitoring in production environments.

● Collaborate closely with cross-functional teams to align AI efforts with business goals

and ensure measurable impacts.

● Leverage deep expertise in machine learning, data science, or related fields to enhance document interpretation tasks such as text extraction, classification, and semantic analysis.

● Utilize natural language processing (NLP) to improve our AI-based Intelligent Document Processing platform.

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● Continuously explore and experiment with new technologies and techniques to push the boundaries of AI solutions within the organization.

● Lead by example, fostering a culture of innovation and collaboration within the team while effectively communicating technical insights to both technical and non-technical stakeholders.

Candidates not located in Hyderabad will not be taken into consideration.